Relevant bibliographies by topics / Computer software industry Quality control

Academic literature on the topic 'Computer software industry Quality control'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Computer software industry Quality control"

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Ericsson, Mikael, Dahniel Johansson, and David Stjern. "AI-Based Quality Control of Wood Surfaces with Autonomous Material Handling." Applied Sciences 11, no. 21 (October 25, 2021): 9965. http://dx.doi.org/10.3390/app11219965.

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The theory and applications of Smart Factories and Industry 4.0 are increasing the entry into the industry. It is common in industry to start converting exclusive parts, of their production, into this new paradigm rather than converting whole production lines all at once. In Europe and Sweden, recent political decisions are taken to reach the target of greenhouse gas emission reduction. One possible solution is to replace concrete in buildings with Cross Laminated Timber. In the last years, equipment and software that have been custom made for a certain task, are now cheaper and can be adapted to fit more processes than earlier possible. This in combination, with lessons learned from the automotive industry, makes it possible to take the necessary steps and start redesigning and building tomorrows automated and flexible production systems in the wood industry. This paper presents a proof of concept of an automated inspection system, for wood surfaces, where concepts found in Industry 4.0, such as industrial Internet of things (IIoT), smart factory, flexible automation, artificial intelligence (AI), and cyber physical systems, are utilized. The inspection system encompasses, among other things, of the shelf software and hardware, open source software, and standardized, modular, and mobile process modules. The design of the system is conducted with future expansion in mind, where new parts and functions can be added as well as removed.
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Elgrably, Isaac Souza, and Sandro Ronaldo Bezerra Oliveira. "A Quasi-Experimental Evaluation of Teaching Software Testing in Software Quality Assurance Subject during a Post-Graduate Computer Science Course." International Journal of Emerging Technologies in Learning (iJET) 17, no. 05 (March 14, 2022): 57–86. http://dx.doi.org/10.3991/ijet.v17i05.25673.

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Software testing is regarded as a key activity in the software development cycle, as it helps information technology professionals to design good quality software. Thus, this is an essential activity for the software industry, although with all its nuances high priority is still not being given to learning about it at an academic level. The purpose of this work is to investigate a teaching strategy for software testing which involves acquiring academic skills within a curriculum based on active teaching methodologies. A teaching model was designed for this to coordinate the different areas of a subject, and then a controlled quasi-experiment was carried out in a post-graduate course to evaluate the application of this model. The results obtained demonstrate that there was a considerable learning gain in the experimental group that adopted the teaching approach when compared with the control group that relied on a traditional approach. The student t-test was employed to determine the learning efficiency.
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Ríos-Reina, Rocío, Daniel Caballero, Silvana M. Azcarate, Diego L. García-González, Raquel M. Callejón, and José M. Amigo. "VinegarScan: A Computer Tool Based on Ultraviolet Spectroscopy for a Rapid Authentication of Wine Vinegars." Chemosensors 9, no. 11 (October 22, 2021): 296. http://dx.doi.org/10.3390/chemosensors9110296.

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Ultraviolet-visible (UV-vis) spectroscopy has shown successful results in the last few years to characterize and classify wine vinegar according to its quality, particularly those with a protected designation of origin (PDO). Due to these promising results, together with the simplicity, price, speed, portability of this technique and its ability to create robust hierarchical classification models, the objective of this work was the development of a computer tool or software, named VinegarScan, which uses the UV-vis spectra to be able to perform quality control and authentication of wine vinegar in a quick and user-friendly way. This software was based on the open-source GUI created in C++ using several data mining algorithms (e.g., decision trees, classification algorithms) on UV-vis spectra. This software achieved satisfactory prediction results with the available analytical UV-vis data. The future idea of utility is to combine the VinegarScan tool with a portable UV-vis device that could be used by control bodies of the wine vinegar industry to achieve a clear differentiation from their competitors to avoid fraud.
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Kállai, Viktória, Gábor L. Szepesi, and Péter Mizsey. "Dynamic Simulation Control in a Cryogenic Distillation Column." Pollack Periodica 15, no. 3 (November 7, 2020): 91–100. http://dx.doi.org/10.1556/606.2020.15.3.9.

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Chemical industry has a high demand for ethylene quantity, especially with high quality. This paper discusses dynamic simulation models of an ethaneethylene high-pressure cryogenic rectification column with Unisim Design process simulator software. Distillation is one of the most essential technologies in chemical industry, it is important that the operation of the procedure can be modeled not only in steady-state mode but also in a dynamic way. The goal during this study is to make simulations with system-controlling and to investigate the effect the disturbance on the behavior of the columns.
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Gordin, M. V., G. S. Ivanova, A. V. Proletarsky, and M. V. Fetisov. "Adaptive Modelling System as a Unifi ed Platform for Industry-Specifi c CAD Systems." Mekhatronika, Avtomatizatsiya, Upravlenie 23, no. 11 (November 3, 2022): 563–69. http://dx.doi.org/10.17587/mau.23.563-569.

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The risks associated with the isolated design of complex software systems within individual industries are analyzed, where not only the same thing is often done, but also the quality of the design suffers due to incomplete competence of the implementers. The approach of dividing competence and responsibility in complex software development by introducing an additional domain-specific layer of interaction between the software developer and the subject area specialists is discussed. The use of an adaptive modelling system as a tool for such separation is proposed. It is shown that the use of adaptive modelling as a common development platform for industry-specific CAD will not only improve the quality of production design in different industries, but will also simplify the design of production in related fields. Finally, it is shown that the use of a common platform will avoid the costs associated with the trend towards simplification and atomization of software developed in our country in the face of sanctions and the degradation of global connections.
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Zhu, Xiaoyang, and Yangjian Ji. "A digital twin–driven method for online quality control in process industry." International Journal of Advanced Manufacturing Technology 119, no. 5-6 (January 5, 2022): 3045–64. http://dx.doi.org/10.1007/s00170-021-08369-5.

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Nikitina, M. A., V. A. Pchelkina, and O. A. Kuznetsova. "Technological solutions for intelligent data processing in the food industry." Proceedings of the Voronezh State University of Engineering Technologies 80, no. 2 (October 2, 2018): 256–63. http://dx.doi.org/10.20914/2310-1202-2018-2-256-263.

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The article is devoted to the possibilities of application of artificial neural networks (ANN), which are a mathematical model, as well as its software or hardware implementation, built on the principle of organization and functioning of nerve cell networks of a living organism. Convolutional neural networks are arranged like the visual cortex of the brain and have achieved great success in image recognition, they are able to concentrate on a small area and highlight important features in it. The widespread use of ANN in medicine for the evaluation of radiographs, blood pressure and body mass index of patients on the analysis of their retina is noted. The use of ANN in the food industry for input quality control of raw materials is promising. In the world practice, various methods of remote control of raw materials are used, for this purpose ultrasonic scanning devices are mainly used. Such devices and analysis systems control raw materials by the ratio of meat tissues (muscle, connective, fat) in the carcass or half-carcass, without affecting the tissue structure, do not lead the quality at the cellular (microstructural) level. It is established that the structure of muscle (diameter of muscle fibers, the safety of the cellular elements, the porosity of the tissue, integrity of muscle fibers) reflects the quality of the raw material, its thermal state. Our work has begun on the creation of an expert system for quality control of meat raw materials at the microstructural level using modern intelligent technologies as ANN and computer vision. This direction is relevant and socially significant in the development of the meat industry, as it will significantly speed up the process of analysis of the quality of raw meat in the research laboratories of meat processing enterprises and testing centers and improve the objectivity of the results.
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Levytskyi, Volodymyr. "The New Approach of Using Image and Range Based Methods for Quality Control of Dimension Stone." Reports on Geodesy and Geoinformatics 103, no. 1 (June 27, 2017): 66–77. http://dx.doi.org/10.1515/rgg-2017-0006.

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Abstract The basis for the quality control of commodity dimension stone blocks for mining industry is the study of fracturing. The identification of fracturing in rock masses is one of the most important aspects in rock mass modelling. Traditional methods for determination properties of fracturing are difficult and hazardous. This paper describes a new approach of fracturing identification, based on image and range data, which realized by image processing and special software. In this article describes a method using new computer algorithms that allow for automated identification and calculation of fracturing parameters. Different digital filters for image processing and mathematical dependences are analyzed. The digital imaging technique has the potential for being used in real time applications. The purpose of this paper is the accurate and fast mapping of fracturing in some walls of the Bukinsky gabbro deposit.
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Mineo, C., M. Vasilev, B. Cowan, C. N. MacLeod, S. G. Pierce, C. Wong, E. Yang, R. Fuentes, and E. J. Cross. "Enabling robotic adaptive behaviour capabilities for new Industry 4.0 automated quality inspection paradigms." Insight - Non-Destructive Testing and Condition Monitoring 62, no. 6 (June 1, 2020): 338–44. http://dx.doi.org/10.1784/insi.2020.62.6.338.

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The seamless integration of industrial robotic arms with server computers, sensors and actuators can revolutionise the way in which automated non-destructive testing (NDT) is performed and conceived. Achieving effective integration and realising the full potential of robotic systems presents significant challenges, since robots, sensors and end-effector tools are often not necessarily designed to be put together and form a holistic system. This paper presents recent breakthroughs, opening up new scenarios for the inspection of product quality in advanced manufacturing. Many years of research have brought to software platforms the ability to integrate external data acquisition instrumentation with industrial robots to improve the inspection speed, accuracy and repeatability of NDT. Robotic manipulators have typically been operated by predefined tool-paths generated through offline path-planning software applications. Recent developments pave the way to data-driven autonomous robotic inspections, enabling real-time path planning and adaptive control. This paper presents a toolbox with highly efficient algorithms and software functions, developed to be used through high-level programming language platforms (for example MATLAB, LabVIEW and Python) and/ or integrated within low-level language (for example C# and C++) applications. The use of the toolbox can speed up the development and the robust integration of new robotic NDT systems with real-time adaptive capabilities and is compatible with all KUKA robots with six degrees of freedom (DOF), which are equipped with the Robot Sensor Interface (RSI) software add-on. The paper describes the architecture of the toolbox and shows two application examples, where performance results are provided. The concepts described in the paper are aligned with the emerging Industry 4.0 paradigms and have wider applicability beyond NDT.
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Knoll, Carsten, and Robert Heedt. "Tool-based Support for the FAIR Principles for Control Theoretic Results: The "Automatic Control Knowledge Repository"." SYSTEM THEORY, CONTROL AND COMPUTING JOURNAL 1, no. 1 (June 30, 2021): 56–67. http://dx.doi.org/10.52846/stccj.2021.1.1.11.

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In 2016 a collection of guiding principles for the management of scientific data was proposed by a consortium of scientists and organizations under the acronym FAIR (Findability, Accessibility, Interoperability, Reusability). As many other disciplines, control theory also is affected by the (mostly unintended) disregard of these principles and to some degree also suffers from a reproducibility crisis. The specific situation for that discipline, however, is more related to software, than to classical numerical data. In particular, since computational methods like simulation, numeric approximation or computer algebra play an important role, the reproducibility of results relies on implementation details, which are typically out of scope for written papers.While some publications do reference the source code of the respective software, this is by far not standard in industry and academia. Additionally, having access to the source code does not imply reproducibility due to dependency issues w. r. t. hardware and software components. This paper proposes a tool based approach consisting of four components to mitigate the problem: a) an open repository with a suitable data structure to publish formal problem specifications and problem solutions (each represented as source code) along with descriptive metadata, b) a web service that automatically checks the solution methods against the problem specifications and auxiliary software for local testing, c) a computational ontology which allows for semantic tagging and sophisticated querying the entities in the repo and d) a peer-oriented process scheme to organize both the contribution process to that repository and formal quality assurance.
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Dissertations / Theses on the topic "Computer software industry Quality control"

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Pryor, Alan N. "A Discrimination of Software Implementation Success Criteria." Thesis, University of North Texas, 1999. https://digital.library.unt.edu/ark:/67531/metadc2196/.

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Software implementation projects struggle with the delicate balance of low cost, on-time delivery and quality. The methodologies and processes used to create and maintain a quality software system are expensive to deploy and result in long development cycle-time. However, without their deployment into the software implementation life-cycle, a software system will be undependable, unsuccessful. The purpose of this research is to identify a succinct set of software implementation success criteria and assess the key independent constructs, activities, carried out to ensure a successful implementation project. The research will assess the success of a software implementation project as the dependent construct of interest and use the software process model (methodology) as the independent construct. This field research involved three phases: (1) criteria development, (2) data collection, and (3) testing of hypotheses and discriminant analysis. The first phase resulted in the development of the measurement instruments for the independent and dependent constructs. The measurement instrument for the independent construct was representative of the criteria from highly regarded software implementation process models and methodologies, e.g., ISO9000, Software Engineering Institute's Capability Maturity Model (SEI CMM). The dependent construct was developed from the categories and criteria from the Delone and McLean (1992) MIS List of Success Measures. The data collection and assessment phase employed a field survey research strategy to 80 companies involved in internal software implementation. Both successful and unsuccessful software implementation projects (identified by the Delone/McLean model) participated. Results from 165 projects were collected, 28 unsuccessful and 137 successful. The third phase used ANOVA to test the first 11 hypotheses and employed discriminant analysis for the 12th hypothesis to identify the "best set" of variables, criteria, that discriminate between successful and unsuccessful software implementation projects. Twelve discriminating variables out of 67 were identified and supported as significant discriminators between successful and unsuccessful projects. Three of the 11 constructs were found not to be significant investments for the successful projects.
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Underwood, B. Alan. "A framework for the certification of critical application systems." Thesis, Queensland University of Technology, 1994.

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Garcia, Sotelo Gerardo Javier. "Get the right price every day." CSUSB ScholarWorks, 2005. https://scholarworks.lib.csusb.edu/etd-project/2729.

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The purpose of this project is to manage restaurants using a software system called GRIPED (Get the Right Price Every day). The system is designed to cover quality control, food cost control and portion control for better management of a restaurant.
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Albanez, Altamar Urbanetz de Araújo. "Associação entre CMMI-DEV 1.2 e ISO/TS 16949." Universidade Tecnológica Federal do Paraná, 2012. http://repositorio.utfpr.edu.br/jspui/handle/1/558.

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O setor automotivo é um dos mais arrojados em termos de qualidade, demandando a certificação ISO/TS 16949. Apesar dessas empresas dominarem essa certificação, algumas a perdem em auditorias posteriores ou obtêm poucas melhorias além das existentes. Há indícios de que elas não possuam maturidade suficiente para obter ou manter essa certificação, nem diretrizes para melhorar continuamente. Em trabalhos anteriores, constatou-se que empresas certificadas possuíam, no mínimo, nível 2 de maturidade, sendo 1 (mínimo) e 5 (máximo), o que significa uma empresa com processo definido e gerenciável. Entretanto, o que habilita a empresa a melhorar seus índices é ter o processo controlado e integrado. A falta de maturidade de um processo de desenvolvimento de produto (PDP) desencadeia refugos e retrabalhos, comprometendo o uso eficiente de recursos, impactando no tempo e no custo do desenvolvimento e, indiretamente, na qualidade do processo e do produto final. Porém, as empresas certificadas não possuem diretrizes para melhorar seus processos. Para isso, a ISO demandaria algum recurso associado, visando fornecer orientação quanto aos aspectos que precisariam ser melhorados. Considerando que o CMMI é um método eficaz na obtenção de diagnóstico de maturidade e que considera a integração do PDP, esse trabalho visa identificar a associação entre a certificação ISO/TS 16949 e o método CMMI-DEV 1.2. Para isso, apresenta uma revisão sobre PDPs, certificação da qualidade e maturidade de processo. Posteriormente, são associadas as variáveis envolvidas em um processo de certificação ISO 9001 e as variáveis avaliadas na ISO/TS 16949 com as variáveis envolvidas na avaliação do nível 2 de maturidade do modelo CMMI-DEV 1.2. O trabalho explicita quais itens são considerados pela ISO/TS 16949, ressaltando os itens do CMMI que poderiam ser usados para obter um diagnóstico complementar para as empresas que desejam melhorar o fator qualidade, agregando, em paralelo, mais eficiência e produtividade aos seus processos produtivos.
The automotive sector is one of the most daring in terms of quality, requiring because of that certification to ISO/TS 16949. Although these companies dominate this certification, some lose in the subsequent audits or get little improvement beyond existing. There is evidence that they do not have the maturity to obtain or maintain such certification or guidelines to continually improve. In previous work, it was found out that certified companies had at least level 2 maturity, 1 (minimum) and 5 (maximum), which means a company defined and manageable process. However, what enables the company to improve its indexes have the process is controlled and integrated. The lack of maturity of a product development process (PDP) triggers scrap and rework, compromising the efficient use of resources, impacting the time and cost of development and, indirectly, the quality of the process and final product. However, the guidelines do not have certified companies to improve their processes. For this, the ISO would require some resource associated in order to provide guidance on the aspects that need to be improved. Whereas CMMI is an effective method for obtaining diagnostic and maturity that considers the integration of PDP, this work aims to identify the association between the ISO/TS 16949 and CMMI-DEV 1.2 method. Presenting an overview of PDPs, quality certification and process maturity. Later, associated variables are involved in a process of ISO 9001 certification and the variables evaluated in the ISO/TS 16949 with the variables involved in assessing the maturity level 2 with CMMI-DEV 1.2. The paper explains which items are considered by the ISO/TS 16949, CMMI highlighting items that could be used for diagnosis complement for companies that wish to improve the quality factor, adding, in parallel, more efficiency and productivity of their production processes.
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Wilburn, Cathy A. "Using the Design Metrics Analyzer to improve software quality." Virtual Press, 1994. http://liblink.bsu.edu/uhtbin/catkey/902489.

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Effective software engineering techniques are needed to increase the reliability of software systems, to increase the productivity of development teams, and to reduce the costs of software development. Companies search for an effective software engineering process as they strive to reach higher process maturity levels and produce better software. To aid in this quest for better methods of software engineering. the Design Metrics Research Team at Ball State University has analyzed university and industry software to be able to detect error-prone modules. The research team has developed, tested and validated their design metrics and found them to be highly successful. These metrics were typically collected and calculated by hand. So that these metrics can be collected more consistently, more accurately and faster, the Design Metrics Analyzer for Ada (DMA) was created. The DMA collects metrics from the files submitted based on a subprogram level. The metrics results are then analyzed to yield a list of stress points, which are modules that are considered to be error-prone or difficult for developers. This thesis describes the Design Metrics Analyzer, explains its output and how it functions. Also, ways that the DMA can be used in the software development life cycle are discussed.
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Walsh, Martha Geiger. "A system of automated tools to support control of software development through software configuration management." Thesis, Kansas State University, 1985. http://hdl.handle.net/2097/9892.

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Krishnamurthy, Janaki. "Quality Market: Design and Field Study of Prediction Market for Software Quality Control." NSUWorks, 2010. http://nsuworks.nova.edu/gscis_etd/352.

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Given the increasing competition in the software industry and the critical consequences of software errors, it has become important for companies to achieve high levels of software quality. While cost reduction and timeliness of projects continue to be important measures, software companies are placing increasing attention on identifying the user needs and better defining software quality from a customer perspective. Software quality goes beyond just correcting the defects that arise from any deviations from the functional requirements. System engineers also have to focus on a large number of quality requirements such as security, availability, reliability, maintainability, performance and temporal correctness requirements. The fulfillment of these run-time observable quality requirements is important for customer satisfaction and project success. Generating early forecasts of potential quality problems can have significant benefits to quality improvement. One approach to better software quality is to improve the overall development cycle in order to prevent the introduction of defects and improve run-time quality factors. Many methods and techniques are available which can be used to forecast quality of an ongoing project such as statistical models, opinion polls, survey methods etc. These methods have known strengths and weaknesses and accurate forecasting is still a major issue. This research utilized a novel approach using prediction markets, which has proved useful in a variety of situations. In a prediction market for software quality, individual estimates from diverse project stakeholders such as project managers, developers, testers, and users were collected at various points in time during the project. Analogous to the financial futures markets, a security (or contract) was defined that represents the quality requirements and various stakeholders traded the securities using the prevailing market price and their private information. The equilibrium market price represents the best aggregate of diverse opinions. Among many software quality factors, this research focused on predicting the software correctness. The goal of the study was to evaluate if a suitably designed prediction market would generate a more accurate estimate of software quality than a survey method which polls subjects. Data were collected using a live software project in three stages: viz., the requirements phase, an early release phase and a final release phase. The efficacy of the market was tested with results from prediction markets by (i) comparing the market outcomes to final project outcome, and (ii) by comparing market outcomes to results of opinion poll. Analysis of data suggests that predictions generated using the prediction market are significantly different from those generated using polls at early release and final release stages. The prediction market estimates were also closer to the actual probability estimates for quality compared to the polls. Overall, the results suggest that suitably designed prediction markets provide better forecasts of potential quality problems than polls.
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Hammons, Rebecca L. "Continuing professional education for software quality assurance." Muncie, Ind. : Ball State University, 2009. http://cardinalscholar.bsu.edu/759.

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Dorgelo, Eric G. "Strategic analysis of a software business /." Burnaby B.C. : Simon Fraser University, 2006. http://ir.lib.sfu.ca/handle/1892/3698.

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Kwan, Pak Leung. "Design metrics forensics : an analysis of the primitive metrics in the Zage design metrics." Virtual Press, 1994. http://liblink.bsu.edu/uhtbin/catkey/897490.

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The Software Engineering Research Center (SERC) Design Metrics Research Team at Ball State University has developed a design metric D(G) of the form:D(G) = D~ + DiWhere De is the architectural design metric (external design metric) and D; is the detailed design metric (internal design metric).Questions to be investigated in this thesis are:Why can D, be an indicator of the potential error modules?Why can D; be an indicator of the potential error modules?Are there any significant factors that dominate the design metrics?In this thesis, the report of the STANFINS data is evaluated by using correlation analysis, regression analysis, and several other statistical techiques. The STANFINS study is chosen because it contains approximately 532 programs, 3,000 packages and 2,500,000 lines of Ada.The design metrics study was completed on 21 programs (approximately 24,000 lines of code) which were selected by CSC development teams. Error reports were also provided by CSC personnel.
Department of Computer Science
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Books on the topic "Computer software industry Quality control"

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McCrory, Gerard. Quality management in the Irish software industry. Dublin: University College Dublin, 1992.

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Rice, David. Geekonomics: The real cost of insecure software. Upper Saddle River, NJ: Addison-Wesley, 2008.

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Crouching tiger: Quality and its implementation in the Indian and Irish software communities. Newcastle: Cambridge Scholars, 2008.

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Keane, Brendan. Crouching tiger: Quality and its implementation in the Indian and Irish software communities. Newcastle: Cambridge Scholars, 2008.

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Dubielewicz, Iwona. Metodyka QUAD: Sterowane jakością wytwarzanie aplikacji bazodanowych. Wrosław: Ofycyna Wydawnicza Politechniki Wrosławskiej, 2010.

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Mallory, Steven R. Software quality assurance SOPs for healthcare manufacturers. 2nd ed. Denver, CO: Interpharm Press, 2002.

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Total Quality Management in der Softwareproduktion: Industrielle Leistungserstellung und Modelle eines umfassenden Qualitätsmanagements : Merkmalsausprägungen zur Situation in der Softwareproduktion. Frankfurt am Main: P. Lang, 1996.

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R, Mallory Steven, ed. Software quality assurance SOPs for healthcare manufacturers. Buffalo Grove, Ill: Interpharm Press, 1997.

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Arora, Ashish. Quality certification and the economics of contract software development: A study of the Indian software industry. Cambridge, MA: National Bureau of Economic Research, 1999.

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Stokes, David. Testing computer systems for FDA/MHRA compliance. Boca Raton, FL: Interpharm/CRC, 2005.

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Book chapters on the topic "Computer software industry Quality control"

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Fruehauf, K., J. Ludewig, and H. Sandmayr. "Software Quality Assurance." In Computer Systems for Process Control, 265–85. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2237-5_12.

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Fenton, Norman, Paul Krause, and Martin Neil. "Probabilistic Modelling for Software Quality Control." In Lecture Notes in Computer Science, 444–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44652-4_39.

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Hubbard, Merton R. "The Computer and Process Control." In Statistical Quality Control for the Food Industry, 289–307. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0149-7_15.

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Hubbard, Merton R. "The Computer and Process Control." In Statistical Quality Control for the Food Industry, 281–98. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-2677-7_15.

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Hubbard, Merton R. "The Computer and Process Control." In Statistical Quality Control for the Food Industry, 281–98. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4684-0041-0_15.

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Gallardo-Cueva, Sofía, Gustavo Guaigua-Albarracín, and Rolando Reyes-Chicango. "Quality Models: An Experience in the Software Industry." In Communications in Computer and Information Science, 125–38. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42517-3_10.

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Mzyk, Rafał, and Szczepan Paszkiel. "Influence of Program Architecture on Software Quality Attributes." In Control, Computer Engineering and Neuroscience, 322–29. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72254-8_33.

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Keane, Brendan, and Ita Richardson. "Quality: Attitudes and Experience Within the Irish Software Industry." In Lecture Notes in Computer Science, 49–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11586012_6.

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Tannock, J. D. T. "Statistical process control software, data collection and computer-aided inspection." In Automating Quality Systems, 181–97. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2366-2_14.

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Soini, Jari, Vesa Tenhunen, and Markku Tukiainen. "Current Practices of Measuring Quality in Finnish Software Engineering Industry." In Lecture Notes in Computer Science, 100–110. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11908562_10.

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Conference papers on the topic "Computer software industry Quality control"

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Raab, Dominik, Eric Fezer, Johannes Breitenbach, Hermann Baumgartl, Daniel Sauter, and Ricardo Buettner. "A Deep Learning-Based Model for Automated Quality Control in the Pharmaceutical Industry." In 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2022. http://dx.doi.org/10.1109/compsac54236.2022.00045.

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Benitez, Roberto, and Roberto Benitez. "Wireless calibration for Industry 4.0." In 19th International Congress of Metrology (CIM2019), edited by Sandrine Gazal. Les Ulis, France: EDP Sciences, 2019. http://dx.doi.org/10.1051/metrology/201922001.

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During the 1980´s, before the industrial globalization took place, some recommended practices or standards were used to provide the calibration services for inspection, measurement and testing equipment (IM&TE) in America. Before the ISO Standards were used to provide quality services or to be ISO accredited, the calibration laboratories were using the MIL-STD-45662A. While the ISO standards became the most applicable references for quality systems certification and for the accreditation of the calibration laboratories the ISO/IEC-17025 became the standard that should be met for the accreditation. Since the beginning of the calibration services, the calibration certificates contained information about the status of the instrument, depending of its type and the method used to calibrate the instrument, also some other requirements were included in the certificates, like the uncertainty and the evidence of the proficiency tests that the laboratory had to provide. With the technological advancement in electronics, the instruments became more sophisticated and accurate. The use of computers and dedicated software for calibration developed new calibration methods. Industry 4.0 includes a wide variety of sensors to monitor different parameters along the process or to measure quality specifications, most of those sensors are electronically integrated to the process control. Metrology 4.0 is giving a new way of calibration services applying the AI and IoT.
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Сивкова, Татьяна, Tat'yana Sivkova, Семен Губарев, and Semen Gubarev. "Computer-aided Metals' Microstructure Analysis. A non-standard approach to image analysis." In 29th International Conference on Computer Graphics, Image Processing and Computer Vision, Visualization Systems and the Virtual Environment GraphiCon'2019. Bryansk State Technical University, 2019. http://dx.doi.org/10.30987/graphicon-2019-1-255-259.

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Analysis of metals' microstructure images is an actual quantitative analysis problem, solved by quality control and research labs in the field of metallurgy. SIAMS Ltd pursues the goal of improving microstructure analysis quality, speed, and convenience. This article discusses the issues of recognition of the microstructure elements of metals and alloys, the most common problems and recognition errors, methods for solving them. Microstructure examples are given before and after digital image processing. The question of the advisability of using server technology in digital microscopy that removes such restrictions from users as the size of the shooting area and the area of microstructure analysis, binding to one working computer and one software license, as well as restrictions on the exchange of results between industry experts, will be raised.
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Gede, Gilbert, Dale L. Peterson, Angadh S. Nanjangud, Jason K. Moore, and Mont Hubbard. "Constrained Multibody Dynamics With Python: From Symbolic Equation Generation to Publication." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13470.

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Symbolic equations of motion (EOMs) for multibody systems are desirable for simulation, stability analyses, control system design, and parameter studies. Despite this, the majority of engineering software designed to analyze multibody systems are numeric in nature (or present a purely numeric user interface). To our knowledge, none of the existing software packages are 1) fully symbolic, 2) open source, and 3) implemented in a popular, general, purpose high level programming language. In response, we extended SymPy (an existing computer algebra system implemented in Python) with functionality for derivation of symbolic EOMs for constrained multibody systems with many degrees of freedom. We present the design and implementation of the software and cover the basic usage and workflow for solving and analyzing problems. The intended audience is the academic research community, graduate and advanced undergraduate students, and those in industry analyzing multibody systems. We demonstrate the software by deriving the EOMs of a N-link pendulum, show its capabilities for LATEX output, and how it integrates with other Python scientific libraries — allowing for numerical simulation, publication quality plotting, animation, and online notebooks designed for sharing results. This software fills a unique role in dynamics and is attractive to academics and industry because of its BSD open source license which permits open source or commercial use of the code.
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Zhao, Long, and Qingjin Peng. "Development of a CMM Training System in Virtual Environments." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28274.

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Product inspection is a critical process of quality control in manufacturing. Coordinate measuring machine (CMM) is a type of precise inspection device widely used in manufacturing industry. The training of CMM operators is a time-consuming and costly processing, which has been identified as the primary intervention to improve the quality and reliability of the product inspection. Virtual Reality (VR) technology provides an intuitive and immersive user interface, which can be an efficient tool for the CMM training. Existing CMM software tools are either without VR user interface, or inefficient for a particular CMM application. This paper proposes a VR-based CMM training system. It uses virtual environments for trainees to operate and view the CMM motion and measurement processing. The VR-based training provides guides, instructions, and examples for trainees. The system design and implementation are discussed and illustrated.
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Teotia, Ayushi, and Shelly Garg. "GAMEOP: Software Quality Management Approach for Gaming Industry." In 2021 6th International Conference on Signal Processing, Computing and Control (ISPCC). IEEE, 2021. http://dx.doi.org/10.1109/ispcc53510.2021.9609430.

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Costantino, Michael C., Thomas W. Houston, and Andrew S. Maham. "Development of Acceptance Criteria for Soil-Structure Interaction Solutions Using Linear SSI Techniques." In ASME 2016 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/pvp2016-63682.

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Seismic analysis and design of high-hazard nuclear facilities requires evaluation of soil-structure interaction (SSI) effects on structure and soil response due to earthquake ground motions. The industry-wide methodology of computing SSI response of buildings is through linear SSI techniques using the computer code SASSI. Technical issues were identified by users and regulators (Ref. 1) resulting in the U.S. Department of Energy (DOE) commissioning a large scale, multi-year Validation and Verification (V&V) Project for SASSI (Ref. 2). The project was a highly peer reviewed process that included an esteemed Participatory Peer Review Team, DOE oversight, as well as regulatory and stakeholder input. The project goal was to develop benchmark SSI solutions for the range of SSI problems associated with high-hazard facilities within the DOE complex. As per industry software quality control requirements, an acceptance limit for the benchmark solutions must be provided to define the acceptable accuracy of the results produced by SASSI relative to the benchmark. In order to define this limit, variation in the solution of foundation impedance must be related to an expected level of accuracy in structural design quantities of interest (e.g., response spectra, base shear, etc.). Therefore, extensive parametric analyses were performed for coupled soil-structure systems having a broad range of SSI parameters defined by foundation size, soil properties, building stiffness and mass properties, building height, etc. Based on the results of the parametric analyses, ASCE 4 code guidance, and engineering judgment of CJC&A and the peer review team, an acceptable level of accuracy in computed foundation impedance was determined for SASSI solutions. This supported the successful qualification of SASSI for use in two large-scale DOE projects.
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Sarker, Kamal Uddin, Aziz Bin Deraman, and Raza Hasan. "Descriptive Logic for Software Engineering Ontology: Aspect Software Quality Control." In 2018 4th International Conference on Computer and Information Sciences (ICCOINS). IEEE, 2018. http://dx.doi.org/10.1109/iccoins.2018.8510585.

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Onita, Daniela, Nicolae Vartan, Manuella Kadar, and Adriana Birlutiu. "Quality control in porcelain industry based on computer vision techniques." In 2018 International Young Engineers Forum (YEF-ECE). IEEE, 2018. http://dx.doi.org/10.1109/yef-ece.2018.8368943.

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Nybacka, Mikael, Tobias Larsson, Mathias Johanson, and Peter To¨rlind. "Distributed Real-Time Vehicle Validation." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99154.

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Due to the increasing complexity of embedded systems and software in vehicles, the automotive industry faces an increasing need for testing and verification of components and subsystems under realistic conditions. At the same time, development cycles must be shortened for vehicle manufacturers to be competitive on the global market, and an increased amount of testing and verification must thus be performed in less time. However, simply increasing the testing volume can be prohibitively costly, meaning that testing and verification processes must be made more efficient to reduce the need for more prototypes. This paper presents a concept for distributed testing and verification of vehicles in real-time, with the aim of improving testing and verification efficiency. Through a novel combination of software tools for distributed collaborative engineering, real-time simulation, visualization, and black box simulation, the realized system makes it possible for vehicle manufacturers and their subcontractors to work more concurrently and efficiently with testing and validation. An early implementation of a system prototype is described and future development plans for the system are presented. The main software components used to build up the system are ADAMS/Car RealTime, Matlab/Simulink and a Java-based real-time visualization module originally developed for the gaming industry. A main benefit of the concept is that different disciplines involved in the product development process can use the system to enhance the concurrency between them. Control systems and mechanical engineers can view ongoing tests in real-time and change designs, and efficiently re-simulate and influence ongoing tests in a distributed manner. Through advanced visualization of simulation results and measurement data, engineers can get a clearer view of how the system or product behaves, thereby improving the quality of the validation process. The concept for distributed real-time simulation and visualization described in this paper will gather more information during the early stages of product development, and speed up the product development process due to its real-time nature. The fact that engineers can stay at their home office and only follow the test when needed will enhance their efficiency.
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Reports on the topic "Computer software industry Quality control"

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Woodruff, J. Software quality assurance plan for the National Ignition Facility integrated computer control system. Office of Scientific and Technical Information (OSTI), November 1996. http://dx.doi.org/10.2172/461373.

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Galili, Naftali, Roger P. Rohrbach, Itzhak Shmulevich, Yoram Fuchs, and Giora Zauberman. Non-Destructive Quality Sensing of High-Value Agricultural Commodities Through Response Analysis. United States Department of Agriculture, October 1994. http://dx.doi.org/10.32747/1994.7570549.bard.

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The objectives of this project were to develop nondestructive methods for detection of internal properties and firmness of fruits and vegetables. One method was based on a soft piezoelectric film transducer developed in the Technion, for analysis of fruit response to low-energy excitation. The second method was a dot-matrix piezoelectric transducer of North Carolina State University, developed for contact-pressure analysis of fruit during impact. Two research teams, one in Israel and the other in North Carolina, coordinated their research effort according to the specific objectives of the project, to develop and apply the two complementary methods for quality control of agricultural commodities. In Israel: An improved firmness testing system was developed and tested with tropical fruits. The new system included an instrumented fruit-bed of three flexible piezoelectric sensors and miniature electromagnetic hammers, which served as fruit support and low-energy excitation device, respectively. Resonant frequencies were detected for determination of firmness index. Two new acoustic parameters were developed for evaluation of fruit firmness and maturity: a dumping-ratio and a centeroid of the frequency response. Experiments were performed with avocado and mango fruits. The internal damping ratio, which may indicate fruit ripeness, increased monotonically with time, while resonant frequencies and firmness indices decreased with time. Fruit samples were tested daily by destructive penetration test. A fairy high correlation was found in tropical fruits between the penetration force and the new acoustic parameters; a lower correlation was found between this parameter and the conventional firmness index. Improved table-top firmness testing units, Firmalon, with data-logging system and on-line data analysis capacity have been built. The new device was used for the full-scale experiments in the next two years, ahead of the original program and BARD timetable. Close cooperation was initiated with local industry for development of both off-line and on-line sorting and quality control of more agricultural commodities. Firmalon units were produced and operated in major packaging houses in Israel, Belgium and Washington State, on mango and avocado, apples, pears, tomatoes, melons and some other fruits, to gain field experience with the new method. The accumulated experimental data from all these activities is still analyzed, to improve firmness sorting criteria and shelf-life predicting curves for the different fruits. The test program in commercial CA storage facilities in Washington State included seven apple varieties: Fuji, Braeburn, Gala, Granny Smith, Jonagold, Red Delicious, Golden Delicious, and D'Anjou pear variety. FI master-curves could be developed for the Braeburn, Gala, Granny Smith and Jonagold apples. These fruits showed a steady ripening process during the test period. Yet, more work should be conducted to reduce scattering of the data and to determine the confidence limits of the method. Nearly constant FI in Red Delicious and the fluctuations of FI in the Fuji apples should be re-examined. Three sets of experiment were performed with Flandria tomatoes. Despite the complex structure of the tomatoes, the acoustic method could be used for firmness evaluation and to follow the ripening evolution with time. Close agreement was achieved between the auction expert evaluation and that of the nondestructive acoustic test, where firmness index of 4.0 and more indicated grade-A tomatoes. More work is performed to refine the sorting algorithm and to develop a general ripening scale for automatic grading of tomatoes for the fresh fruit market. Galia melons were tested in Israel, in simulated export conditions. It was concluded that the Firmalon is capable of detecting the ripening of melons nondestructively, and sorted out the defective fruits from the export shipment. The cooperation with local industry resulted in development of automatic on-line prototype of the acoustic sensor, that may be incorporated with the export quality control system for melons. More interesting is the development of the remote firmness sensing method for sealed CA cool-rooms, where most of the full-year fruit yield in stored for off-season consumption. Hundreds of ripening monitor systems have been installed in major fruit storage facilities, and being evaluated now by the consumers. If successful, the new method may cause a major change in long-term fruit storage technology. More uses of the acoustic test method have been considered, for monitoring fruit maturity and harvest time, testing fruit samples or each individual fruit when entering the storage facilities, packaging house and auction, and in the supermarket. This approach may result in a full line of equipment for nondestructive quality control of fruits and vegetables, from the orchard or the greenhouse, through the entire sorting, grading and storage process, up to the consumer table. The developed technology offers a tool to determine the maturity of the fruits nondestructively by monitoring their acoustic response to mechanical impulse on the tree. A special device was built and preliminary tested in mango fruit. More development is needed to develop a portable, hand operated sensing method for this purpose. In North Carolina: Analysis method based on an Auto-Regressive (AR) model was developed for detecting the first resonance of fruit from their response to mechanical impulse. The algorithm included a routine that detects the first resonant frequency from as many sensors as possible. Experiments on Red Delicious apples were performed and their firmness was determined. The AR method allowed the detection of the first resonance. The method could be fast enough to be utilized in a real time sorting machine. Yet, further study is needed to look for improvement of the search algorithm of the methods. An impact contact-pressure measurement system and Neural Network (NN) identification method were developed to investigate the relationships between surface pressure distributions on selected fruits and their respective internal textural qualities. A piezoelectric dot-matrix pressure transducer was developed for the purpose of acquiring time-sampled pressure profiles during impact. The acquired data was transferred into a personal computer and accurate visualization of animated data were presented. Preliminary test with 10 apples has been performed. Measurement were made by the contact-pressure transducer in two different positions. Complementary measurements were made on the same apples by using the Firmalon and Magness Taylor (MT) testers. Three-layer neural network was designed. 2/3 of the contact-pressure data were used as training input data and corresponding MT data as training target data. The remaining data were used as NN checking data. Six samples randomly chosen from the ten measured samples and their corresponding Firmalon values were used as the NN training and target data, respectively. The remaining four samples' data were input to the NN. The NN results consistent with the Firmness Tester values. So, if more training data would be obtained, the output should be more accurate. In addition, the Firmness Tester values do not consistent with MT firmness tester values. The NN method developed in this study appears to be a useful tool to emulate the MT Firmness test results without destroying the apple samples. To get more accurate estimation of MT firmness a much larger training data set is required. When the larger sensitive area of the pressure sensor being developed in this project becomes available, the entire contact 'shape' will provide additional information and the neural network results would be more accurate. It has been shown that the impact information can be utilized in the determination of internal quality factors of fruit. Until now,
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Patel, Yusef. File to Factory: A case study of automated prefabrication house-building methods for small-to-medium enterprises. Unitec ePress, December 2017. http://dx.doi.org/10.34074/ocds.0823.

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The Eco-Digital Fabrication (EDFAB) research project aimed to investigate how automated prefabrication technologies and off-the-shelf construction products can be employed to disrupt building industry norms. The aim of this research – conducted at the University of Auckland and Unitec Institute of Technology from 2014 onward – was to provide small-to-medium enterprises in the construction industry with a pathway to upskill and increase construction productivity through the use of these processes. The availability of automated machines and easy-to-use fabrication software is increasing dramatically and this can be paired with readily available construction products to produce novel mass-customised housing solutions. The application of basic automated technologies – such as CNC (Computer Numerical Control) routers – allowed researchers to create ‘recipes’ that can be adopted and adapted relatively easily. By no means did the research favour digital manufacture or assembly processes over traditional analogue construction techniques – the goal was to provide logical, productive and accessible blended solutions for greater affordability and flexibility in design. For example, the designed experiments were required to be built from readily available products, and used simple readymade screw fixings rather than digitally produced custom fixings or joining mechanisms. The research project aimed to generate discussion and provide recommendations on how the construction industry might support the adoption of automated prefabrication technology in small-to-medium enterprise (SME).
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Huang, Haohang, Erol Tutumluer, Jiayi Luo, Kelin Ding, Issam Qamhia, and John Hart. 3D Image Analysis Using Deep Learning for Size and Shape Characterization of Stockpile Riprap Aggregates—Phase 2. Illinois Center for Transportation, September 2022. http://dx.doi.org/10.36501/0197-9191/22-017.

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Riprap rock and aggregates are extensively used in structural, transportation, geotechnical, and hydraulic engineering applications. Field determination of morphological properties of aggregates such as size and shape can greatly facilitate the quality assurance/quality control (QA/QC) process for proper aggregate material selection and engineering use. Many aggregate imaging approaches have been developed to characterize the size and morphology of individual aggregates by computer vision. However, 3D field characterization of aggregate particle morphology is challenging both during the quarry production process and at construction sites, particularly for aggregates in stockpile form. This research study presents a 3D reconstruction-segmentation-completion approach based on deep learning techniques by combining three developed research components: field 3D reconstruction procedures, 3D stockpile instance segmentation, and 3D shape completion. The approach was designed to reconstruct aggregate stockpiles from multi-view images, segment the stockpile into individual instances, and predict the unseen side of each instance (particle) based on the partial visible shapes. Based on the dataset constructed from individual aggregate models, a state-of-the-art 3D instance segmentation network and a 3D shape completion network were implemented and trained, respectively. The application of the integrated approach was demonstrated on re-engineered stockpiles and field stockpiles. The validation of results using ground-truth measurements showed satisfactory algorithm performance in capturing and predicting the unseen sides of aggregates. The algorithms are integrated into a software application with a user-friendly graphical user interface. Based on the findings of this study, this stockpile aggregate analysis approach is envisioned to provide efficient field evaluation of aggregate stockpiles by offering convenient and reliable solutions for on-site QA/QC tasks of riprap rock and aggregate stockpiles.
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