Relevant bibliographies by topics / Software quality, processes and metrics

Academic literature on the topic 'Software quality, processes and metrics'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Software quality, processes and metrics"

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Mishra, Alok, Raed Shatnawi, Cagatay Catal, and Akhan Akbulut. "Techniques for Calculating Software Product Metrics Threshold Values: A Systematic Mapping Study." Applied Sciences 11, no. 23 (December 1, 2021): 11377. http://dx.doi.org/10.3390/app112311377.

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Several aspects of software product quality can be assessed and measured using product metrics. Without software metric threshold values, it is difficult to evaluate different aspects of quality. To this end, the interest in research studies that focus on identifying and deriving threshold values is growing, given the advantage of applying software metric threshold values to evaluate various software projects during their software development life cycle phases. The aim of this paper is to systematically investigate research on software metric threshold calculation techniques. In this study, electronic databases were systematically searched for relevant papers; 45 publications were selected based on inclusion/exclusion criteria, and research questions were answered. The results demonstrate the following important characteristics of studies: (a) both empirical and theoretical studies were conducted, a majority of which depends on empirical analysis; (b) the majority of papers apply statistical techniques to derive object-oriented metrics threshold values; (c) Chidamber and Kemerer (CK) metrics were studied in most of the papers, and are widely used to assess the quality of software systems; and (d) there is a considerable number of studies that have not validated metric threshold values in terms of quality attributes. From both the academic and practitioner points of view, the results of this review present a catalog and body of knowledge on metric threshold calculation techniques. The results set new research directions, such as conducting mixed studies on statistical and quality-related studies, studying an extensive number of metrics and studying interactions among metrics, studying more quality attributes, and considering multivariate threshold derivation.
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Alenezi, Mamdouh. "Internal Quality Evolution of Open-Source Software Systems." Applied Sciences 11, no. 12 (June 19, 2021): 5690. http://dx.doi.org/10.3390/app11125690.

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The evolution of software is necessary for the success of software systems. Studying the evolution of software and understanding it is a vocal topic of study in software engineering. One of the primary concepts of software evolution is that the internal quality of a software system declines when it evolves. In this paper, the method of evolution of the internal quality of object-oriented open-source software systems has been examined by applying a software metric approach. More specifically, we analyze how software systems evolve over versions regarding size and the relationship between size and different internal quality metrics. The results and observations of this research include: (i) there is a significant difference between different systems concerning the LOC variable (ii) there is a significant correlation between all pairwise comparisons of internal quality metrics, and (iii) the effect of complexity and inheritance on the LOC was positive and significant, while the effect of Coupling and Cohesion was not significant.
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Kataieva, Yevheniia, Svetlana Odokienko, Maya Luta, and Yaroslav Savchenko. "PRACTICAL QUALITY ANALYSIS OF OPEN SOURCE SOFTWARE." Management of Development of Complex Systems, no. 44 (November 30, 2020): 49–55. http://dx.doi.org/10.32347/2412-9933.2020.44.49-55.

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The success of any project is determined by its ability to meet the needs of the consumer, and therefore ensuring a high level of quality is a necessary task of any production, including software engineering. Insufficient quality of the created software requires many IT-organizations, up to 70% of the budget of the information system to reserve for the maintenance stage, with up to 60% of all software modifications performed to eliminate errors, and only the remaining 40% - to correct software within the business process, improvement certain indicators of software quality, or to prevent potential problems. Software quality is a complex concept. Standards highlight the quality of development processes, internal and external quality of the software product, the quality of the software product at the stage of use. For each of the components of quality can be called a set of metrics that determine the quality of the software product. The resulting structure is called the software quality model. Software metrics are a measure that allows you to get the numerical value of a property of software or its specifications, as well as the method of its calculation. Metrics allow you to get numeric values for each property of the software or its specifications. Of particular interest are software complexity metrics. Complexity is an important factor on which other parameters of software quality depend, such as accuracy, correctness, reliability, convenience of support. The existence of methods and algorithms for automatic calculation of software complexity metrics using software allows you to get a comprehensive formal report on the quality of software in a short time. This allows for objective monitoring of the quality of software throughout the project life cycle, make adjustments to the project plan, as well as make timely decisions about the need for refactoring.
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BARMAK, ALEXANDER, VIKTOR KUDRIAVTSEV, YRII FORKUN, and OKSANA YASHYNA. "SOFTWARE CODE ANALYSIS SYSTEM FOR RISK ASSESSMENT AND QUALITY ASSURANCE OF SOFTWARE." HERALD OF KHMELNYTSKYI NATIONAL UNIVERSITY 297, no. 3 (July 2, 2021): 25–29. http://dx.doi.org/10.31891/2307-5732-2021-297-3-25-29.

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The paper presents the results of research of various standards, rules and methods of writing software code and analysis of their impact on software quality and the likelihood of technical risks associated with information processes within the system. Most of the risks that arise while developing software products are due to errors in building the system architecture or writing code. As a solution for such problems, it is proposed to apply the developed set of rules and methods to build the system architecture and assess the quality of writing software objects. Metrics have been developed to estimate the size and complexity of the module by combining elements of Halsted and Chepin metrics. Also, a set of principles for optimizing the structure of the system, also known as SOLID principles, was presented. The application of these principles for system construction and analysis was substantiated in order to minimize risks, ensure the quality of the software system and provide opportunities for easy extensibility of the project. Using these methods will optimize the project both for use and for further development. The need for such optimization processes in terms of risk management is that the clearer the system and the easier it is to expand, the less likely it is that errors will occur in the future when adding new functionality.
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Patnaik, K. Sridhar, and Pooja Jha. "Proposed Metrics for Process Capability Analysis in Improving Software Quality: An Empirical Study." International Journal of Software Engineering and Technologies (IJSET) 1, no. 3 (December 1, 2016): 152. http://dx.doi.org/10.11591/ijset.v1i3.4578.

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A software project faces its top expense on defect removal; thereby delaying the schedules. There has been increasing demand for high quality software. Here, high quality software means, delivering defect free software and meeting the predictable results within time and cost constraints. Software defect prediction strives to improve software quality and testing efficiency. The research work presented here is an empirical study and analyzes importance of different metrics used in the organization. The paper examines the impact of LSL and USL, known as organization baselines, on various projects and proposes four metrics for capability analysis metrics. These can prove beneficial for categorizing the process of software development. These metrics aim to improve the ongoing software development process and are helpful in determining the quality of these processes in terms of their specification limits. Also, the paper attempts to justify the probability of the values related to the data provided by normal distribution or Gaussian distribution.
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Parthasarathy, Sudhaman, C. Sridharan, Thangavel Chandrakumar, and S. Sridevi. "Quality Assessment of Standard and Customized COTS Products." International Journal of Information Technology Project Management 11, no. 3 (July 2020): 1–13. http://dx.doi.org/10.4018/ijitpm.2020070101.

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Software quality is a very important aspect in evolving strategy for IT vendors involved in commercial off-the-shelf (COTS) (also referred as packaged software) product development. Software metrics are widely accepted measures for monitoring and managing the quality in software projects. Enterprise resource planning (ERP) systems are COTS products and attempt to integrate data and processes in organizations and often require extensive customization. Using software quality metrics already established in literature, software quality attributes defined by the quality model ISO/IEC 9126 were evaluated for a standard and a customized ERP product. This will help the ERP team to identify the specific quality attributes that were affected owing to customization. This research study infers that there exists a considerable impact of ERP system customization over the quality of ERP product. The implications of the findings for both practice and research are discussed, and possible areas of future research are identified.
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Azuma, Motoei. "Software products evaluation system: quality models, metrics and processes—International Standards and Japanese practice." Information and Software Technology 38, no. 3 (March 1996): 145–54. http://dx.doi.org/10.1016/0950-5849(95)01069-6.

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Damasevicius, Robertas, and Vytautas Stuikys. "Metrics for evaluation of metaprogram complexity." Computer Science and Information Systems 7, no. 4 (2010): 769–87. http://dx.doi.org/10.2298/csis090315004d.

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The concept of complexity is used in many areas of computer science and software engineering. Software complexity metrics can be used to evaluate and compare quality of software development and maintenance processes and their products. Complexity management and measurement is especially important in novel programming technologies and paradigms, such as aspect-oriented programming, generative programming, and metaprogramming, where complex multilanguage and multi-aspect program specifications are developed and used. This paper analyzes complexity management and measurement techniques, and proposes five complexity metrics (Relative Kolmogorov Complexity, Metalanguage Richness, Cyclomatic Complexity, Normalized Difficulty, Cognitive Difficulty) for measuring complexity of metaprograms at information, metalanguage, graph, algorithm, and cognitive dimensions.
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Venkatraman, Prakash, and Goplakrishnan Sethumadhavan. "An Efficient Regression Testing Test Suite Optimization System with Quality Metrics." Journal of Computational and Theoretical Nanoscience 13, no. 10 (October 1, 2016): 6754–63. http://dx.doi.org/10.1166/jctn.2016.5624.

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To make certain the software Quality, Software testing is one of the most significant processes in Software Development Life Cycle (SDLC). Software systems develop regularly to offer the necessary functionalities and to acclimatize to ever-changing customer necessitates. Regression testing points out to the portion of the test cycle in which a syllabus is experimented to make certain that alters do not influence characteristics such as adding novel characteristics or adapting presented characteristics that are not supposed to be influenced. The Regression testing is used to modified versions of the software to make certain that the modified characteristics perform equally and that the changes did not generate unexpected faults, moreover known as deterioration errors. As a result, in order to spot such errors, Software regression testing is necessary. The most important plan of the suggested system is to execute the software regression testing with a reduced amount of time and cost devoid of changing the quality. For this, we will promise the quality of the software tool in terms of quality metrics such as dependability and maintainability, etc after optimizing the test suite. By using Improved Particle Swarm Optimization Algorithm (IPSO), the test suite optimization will be prepared. With different devices such as JDepend and Rayleigh’s model, the quality metrics will be computed.
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Wang, Zhen Qi, and Dan Kai Zhang. "Improved CK Metrics for Object Oriented Design Measurement." Advanced Engineering Forum 6-7 (September 2012): 333–36. http://dx.doi.org/10.4028/www.scientific.net/aef.6-7.333.

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In order to understand and control the software development process better, improve the quality of software. At the same time, traditional methods of measurement in the field of object-oriented is no longer fit for some of the unique features for object-oriented software, this makes us accelerate the speed of research of object-oriented software metrics, and considerable progress has been made. This paper describes object-oriented software measurement method proposed by Chidamber and Kemerer-- C&K , for its lack, we improved on method of C&K, combined with the features of the Java language, applied software measurement tools that you already have on software measurement indicators for implementation and help developers guide software development processes to meet the needs of users better.
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Dissertations / Theses on the topic "Software quality, processes and metrics"

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Popelka, Vladimír. "Aplikace procesní analýzy při řízení kvality a testování software." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-72729.

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This thesis deals with questions regarding quality assurance and software testing. The subject of its theoretical part is the specification of the general concept of quality, description of standards used in the field of software product quality evaluation and finally the evaluation of software development process itself. The thesis intends to introduce the theoretical framework of software quality assurance, especially the detailed analysis of the whole software testing branch. An added value to the theoretical part constitutes the characterization of procedural approach and selected methods used towards the improvement of processes. The practical part of the thesis comprises of the exemplification -- it shows the procedural approach at software quality management, applied to a selected IT company. The main aim of the practical part is to create a purposeful project for optimization of quality assurance and software testing processes. The core of the matter is to accomplish the process analysis of the present condition of software testing methodology. For the purpose of process analysis and optimization project, the models of key processes will be created; these processes will then be depicted based on defined pattern. The description of the state-of-the-art of software product quality assurance processes is further supplemented by the evaluation of such processes maturity. The project for optimization of software testing and quality assurance processes comes from the process analysis of the present condition of software testing methodology, as well as from the evaluation of procedural models maturity. The essence of processes optimization is the incorporation of change requests and innovative intentions of individual processes into the resulting state of methodology draft. For the measurement of selected quality assurance and software testing processes, the configuration of efficiency indicators and their application on particular processes is implemented. The research on the of the state-of-the-art, as well as the elaboration of this whole project for optimization of software testing and quality assurance processes runs in conformity with the principles of DMAIC model of Six Sigma method.
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Gurbuz, Ozge. "An Automated Quality Measurement Approach For Business Process Models." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613665/index.pdf.

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Business process modeling has become a common need for organizations. Therefore process quality is also having an important role for the organizations. The most of the quality studies are based on cost and time which can be analyzed during or after the execution of the business processes. There are also quality measures which help analyzing measures before the execution of the business processes. This type of measures can give early feedback about the processes. There are three frameworks defined in the literature for a more comprehensive measurement. One of the frameworks is adapted from software programs and it aims to enable process design to be less error-prone, understandable and maintainable. The second framework is adapted from object-oriented software designs and it provides object-oriented view to the design of the business process. The last framework is adapted from ISO/IEC Software Product Quality enabling to measure the quality of process itself rather than the design. By conducting a case study, the measures defined in the frameworks are explored in terms of applicability, automation potential and required time and effort on a set of business process model. As a result of this study it is observed that measurement takes time and requires effort and is always error-prone. Therefore, an approach is implemented by automating the measures which have automation potential, in order to decrease the required time and effort and also to increase the accuracy of the measurement. The second case study is then conducted on a set of another business process models in order to validate the approach.
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Masoud, F. A. "Quality metrics in software engineering." Thesis, University of Liverpool, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381358.

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In the first part of this study software metrics are classified into three categories: primitive, abstract and structured. A comparative and analytical study of metrics from these categories was performed to provide software developers, users and management with a correct and consistent evaluation of a representative sample of the software metrics available in the literature. This analysis and comparison was performed in an attempt to: assist the software developers, users and management in selecting suitable quality metric(s) for their specific software quality requirements and to examine various definitions used to calculate these metrics. In the second part of this study an approach towards attaining software quality is developed. This approach is intended to help all the people concerned with the evaluation of software quality in the earlier stages of software systems development. The approach developed is intended to be uniform, consistent, unambiguous and comprehensive and one which makes the concept of software quality more meaningful and visible. It will help the developers both to understand the concepts of software quality and to apply and control it according to the expectations of users, management, customers etc.. The clear definitions provided for the software quality terms should help to prevent misinterpretation, and the definitions will also serve as a touchstone against which new ideas can be tested.
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Jah, Muzamil. "Software metrics : usability and evaluation of software quality." Thesis, University West, Department of Economics and IT, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-548.

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It is difficult to understand, let alone improve, the quality of software without the knowledge of its software development process and software products. There must be some measurement process to predict the software development, and to evaluate the software products. This thesis provides a brief view on Software Quality, Software Metrics, and Software Metrics methods that will predict and measure the specified quality factors of software. It further discusses about the Quality as given by the standards such as ISO, principal elements required for the Software Quality and Software Metrics as the measurement technique to predict the Software Quality. This thesis was performed by evaluating a source code developed in Java, using Software Metrics, such as Size Metrics, Complexity Metrics, and Defect Metrics. Results show that, the quality of software can be analyzed, studied and improved by the usage of software metrics.

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Wake, Steven A. "Predicting maintainability with software quality metrics." Thesis, Virginia Tech, 1988. http://hdl.handle.net/10919/43067.

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Maintenance of software makes up a large fraction of the time and money spent in the software life cycle. By reducing the need for maintenance these costs can also be reduced. Predicting where maintenance is likely to occur can, help to reduce maintenance by prevention. This thesis details a study of the use of software quality;metrics to determine high complexity components in a software system. By the use of a history of maintenance done on a particular system, it is shown that a predictor equation can be developed to identify components which needed maintenance activities. This same equation can also be used to determine which components are likely to need maintenance in the future. Through the use of.these predictions and software metric complexities it should be possible to reduce the likelihood of a component needing maintenance. This might be accomplished by reducing the complexity of that component through further decomposition.
Master of Science
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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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Burdett, Yan Liu. "Correlation of Software Quality Metrics and Performance." NSUWorks, 2012. http://nsuworks.nova.edu/gscis_etd/109.

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Performance is an aspect of software quality that is often not considered at early stages of software design. Common approaches to performance analysis include utilizing profiling tools after the software has been developed to find bottlenecks and executing simulation models that are either manually constructed or derived from UML design diagrams. Many projects attempt to correct performance issues by adding more powerful hardware instead of attacking the root cause. Software metrics have been used to predict many aspects of software quality such as maintainability and fault-tolerance by correlation and regression analysis. Metrics proposed by Chidamber and Kemerer, also known as the CK metric suite, have been studied extensively in software quality model analyses. These studies examined maintainability, fault tolerance, error proneness, and scalability of the software as it evolved through time. Correlations were made between metrics and the likely quality models they represented. Other metrics such as Cyclomatic Complexity by McCabe and class couplings by Martin have also been used in quality predictions. No research has been conducted to analyze relationship between performance and metrics. The goal of this research was to construct a decision tree that used software metrics to forecast performance characteristics. The relationship between metrics and performance was derived by correlation between static code metrics and three runtime variables: number of objects, method call frequency, and average method call lengths on selected software benchmarks. The decision tree was constructed using the C4.5 algorithm implemented in the WEKA software. Pearson correlation coefficients were obtained for the combined datasets from all benchmarks. The decision trees and Pearson statistics showed that weighted methods per class (WMC), total lines of code (TLOC), and coupling between objects (CBO) have significant correlation with software performance. WMC showed positive correlation with number of objects and calls. CBO correlated positively with average method call lengths and negatively with number of objects. TLOC correlated positively with number of calls.
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Yerneni, Ashok. "A reliability model incorporating software quality metrics." Thesis, Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/50098.

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Large scale software development efforts in the past decade have posed a problem in terms of the reliability of the software. The size and complexity of software that is being developed is growing rapidly and integrating diverse pieces of software in the operational environment also poses severe reliability issues, resulting in increased development and operational costs. A number of reliability models have been defined in the literature to deal with problems of this kind. However, most of these models treat the system as a "black box" and do not consider the complexity of the software in its reliability predictions. Also, reliability is predicted after the system had been completely developed leaving little scope for any major design changes to improve system reliability. This thesis reports on an effort to develop a reliability model based on complexity metrics which characterize a software system and runtime metrics which reflect the degree of testing of the system. A complete development of the reliability model is presented here. The model is simple and reflects on our intuition of the software development process and our understanding of the significance of the complexity metrics. Credibility analysis is done on the model by simulating a number of systems and applying the model. Data collected from three FORTRAN coded systems developed for NASA Goddard was used as representative of the actual software systems. An analysis of the results is finally presented.
Master of Science
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Sears, Kenneth. "Viewpoint quality model : a software quality model for the application of software quality metrics." Thesis, University of Birmingham, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341698.

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Afzal, Wasif. "Metrics in Software Test Planning and Test Design Processes." Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-6193.

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Software metrics plays an important role in measuring attributes that are critical to the success of a software project. Measurement of these attributes helps to make the characteristics and relationships between the attributes clearer. This in turn supports informed decision making. The field of software engineering is affected by infrequent, incomplete and inconsistent measurements. Software testing is an integral part of software development, providing opportunities for measurement of process attributes. The measurement of software testing process attributes enables the management to have better insight in to the software testing process. The aim of this thesis is to investigate the metric support for software test planning and test design processes. The study comprises of an extensive literature study and follows a methodical approach. This approach consists of two steps. The first step comprises of analyzing key phases in software testing life cycle, inputs required for starting the software test planning and design processes and metrics indicating the end of software test planning and test design processes. After establishing a basic understanding of the related concepts, the second step identifies the attributes of software test planning and test design processes including metric support for each of the identified attributes. The results of the literature survey showed that there are a number of different measurable attributes for software test planning and test design processes. The study partitioned these attributes in multiple categories for software test planning and test design processes. For each of these attributes, different existing measurements are studied. A consolidation of these measurements is presented in this thesis which is intended to provide an opportunity for management to consider improvement in these processes.
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Books on the topic "Software quality, processes and metrics"

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library, Wiley online, ed. Software metrics and software metrology. Hoboken, N.J: Wiley, 2010.

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Metrics and models in software quality engineering. Reading, Mass: Addison-Wesley, 1995.

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Metrics and models in software quality engineering. 2nd ed. Boston: Addison-Wesley, 2003.

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Sears, Kenneth. Viewpoint quality model: A software quality model for the application of software quality metrics. Birmingham: University of Birmingham, 1992.

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Society, IEEE Computer, ed. Eighth IEEE Symposium on Software Metrics: [METRICS 2002], 4-7 June, 2002, Ottawa, Canada. Los Alamitos, Calif: IEEE Computer Society, 2002.

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International Software Metrics Symposium (7th 2001 London, England). Proceedings, Seventh International Software Metrics Symposium: METRICS 2001, 4-6 April, 2001, London, England. Los Alamitos, Calif: IEEE Computer Society, 2001.

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International Software Metrics Symposium (5th 1998 Bethesda, Maryland). Proceedings, Fifth International Software Metrics Symposium, Metrics 1998: November 20-21, 1998, Bethesda, Maryland. Los Alamitos, California: IEEE Computer Society Press, 1998.

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Datta, Subhajit. Enterprise software development: A metrics-driven approach. Ft. Lauderdale, FL: J. Ross Pub., 2007.

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D, Ince, ed. Derivation and validation of software metrics. Oxford: Clarendon Press, 1993.

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Al-Janabi, Ala Aldeen. An application of software design metrics to assess quality. Birmingham: University of Birmingham, 1994.

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Book chapters on the topic "Software quality, processes and metrics"

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Beningo, Jacob. "Software Quality, Metrics, and Processes." In Embedded Software Design, 151–78. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8279-3_6.

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Shimanaka, Kazutoshi, Masato Matsumoto, Junji Koga, and Hiroyuki Domae. "Creation of a Guideline for Tailoring Development Processes Using Project Metrics Data." In Software Quality — ECSQ 2002, 274–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-47984-8_31.

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Canfora, Gerardo, Andrea Di Sorbo, Francesco Mercaldo, and Corrado Aaron Visaggio. "Exploring Mobile User Experience Through Code Quality Metrics." In Product-Focused Software Process Improvement, 705–12. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49094-6_59.

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Nilson, Mayra, Vard Antinyan, and Lucas Gren. "Do Internal Software Quality Tools Measure Validated Metrics?" In Product-Focused Software Process Improvement, 637–48. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-35333-9_50.

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Ambu, Walter, Giulio Concas, Michele Marchesi, and Sandro Pinna. "Studying the Evolution of Quality Metrics in an Agile/Distributed Project." In Extreme Programming and Agile Processes in Software Engineering, 85–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11774129_9.

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Hanakawa, Noriko, and Masaki Obana. "A Metrics for Meeting Quality on a Software Requirement Acquisition Phase." In Product-Focused Software Process Improvement, 260–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31063-8_20.

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Salin, Hannes, Yves Rybarczyk, Mengjie Han, and Roger G. Nyberg. "Quality Metrics for Software Development Management and Decision Making: An Analysis of Attitudes and Decisions." In Product-Focused Software Process Improvement, 525–30. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-21388-5_37.

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O’Regan, Gerard. "Software Metrics Software Metrics." In Introduction to Software Quality, 151–83. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06106-1_10.

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Chaabouni, Kaïs, and Alessandra Bagnato. "Data Pipelines: Modeling and Evaluation of Models." In Big Data in Bioeconomy, 113–26. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71069-9_9.

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AbstractThis chapter outlines the utility of data pipelines modeling in the context of a data driven project and enumerates metrics for evaluating the quality of the data modeling regarding the readability and the comprehensibility of the models. We start with explaining the challenges surrounding the DataBio project that led to the adoption of data pipelines modeling using the Enterprise Architecture language ArchiMate. Then we present the data modeling process with examples from DataBio pilot studies starting with modeling software components provided by project stakeholders and ending up with integration of components into data pipelines that achieve the data analytics lifecycle intended by the pilot study. We end the chapter with the evaluation of the quality of DataBio data pipelines models with metrics collected by a monitoring tool for ArchiMate models.
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Smith, David J. "Metrics and modelling." In Achieving Quality Software, 192–205. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0549-1_15.

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Conference papers on the topic "Software quality, processes and metrics"

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Berardi, Rita Cristina Galarraga, and Duncan Dubugras Alcoba Ruiz. "Fuzzy-Provenance Architecture for Effort Metric Data Quality Assessment." In Simpósio Brasileiro de Qualidade de Software. Sociedade Brasileira de Computação - SBC, 2009. http://dx.doi.org/10.5753/sbqs.2009.15500.

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Software companies rely on stored metric data in order to track and manage their projects, through analyzing, monitoring and estimating software metrics. If managers cannot believe the metrics data, the product that is being developed is fated to fail. Currently, the assessment of software effort is subjective and derived mainly through managers’ assumptions, which is fundamentally an error-prone process. We present an architecture for assessing data quality of software effort metric based on data provenance associated with a mechanism of logical inference (fuzzy logic). The contribution is to provide an assessment to search evident reasons for a low quality in order to ensure that the metrics can be used with sufficient reliability.
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Abdi, Athena, Afshin Souzani, Maliheh Amirfakhri, and Azadeh Bamdad Moghadam. "Using security metrics in software quality assurance process." In 2012 Sixth International Symposium on Telecommunications (IST). IEEE, 2012. http://dx.doi.org/10.1109/istel.2012.6483150.

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Heeringen, Harold van, Hans Kuijpers, Rini Scholten, Frans Schoot Uiterkamp, Dirk Muller, Jolijn Onvlee, Hans Bernink, and Marcel Pereboom. "FPA and Quality Metrics in Contracts." In 2014 Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement (IWSM-MENSURA). IEEE, 2014. http://dx.doi.org/10.1109/iwsm.mensura.2014.40.

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Harjumaa, Lasse, Ilkka Tervonen, and Sirpa Salmela. "Steering the inspection process with prescriptive metrics and process patterns." In 2008 Eighth International Conference on Quality Software (QSIC). IEEE, 2008. http://dx.doi.org/10.1109/qsic.2008.27.

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Prasad, Karuna, Divya MG, Sarat Chandrababu, and Mangala N. "Software Quality Improvement Through Statistical Analysis on Process Metrics." In 3rd International Conference on Artificial Intelligence and Applications. Academy & Industry Research Collaboration Center (AIRCC), 2017. http://dx.doi.org/10.5121/csit.2017.71804.

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Li, Haifeng, Minyan Lu, and Qiuying Li. "Software Reliability Metrics Selecting Method Based on Analytic Hierarchy Process." In 2006 Sixth International Conference on Quality Software (QSIC'06). IEEE, 2006. http://dx.doi.org/10.1109/qsic.2006.59.

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Hwang, Sun-Myung. "Quality Metrics for Software Process Certification Based on K-model." In 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops. IEEE, 2010. http://dx.doi.org/10.1109/waina.2010.184.

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Nagappan, Nachiappan, Laurie Williams, Mladen Vouk, and Jason Osborne. "Early estimation of software quality using in-process testing metrics." In the third workshop. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1083292.1083304.

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Dahab, Sarah, Erika Silva, Stephane Maag, Ana Rosa Cavalli, and Wissam Mallouli. "Enhancing Software Development Process Quality based on Metrics Correlation and Suggestion." In 13th International Conference on Software Technologies. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006856501200131.

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Dahab, Sarah, Erika Silva, Stephane Maag, Ana Rosa Cavalli, and Wissam Mallouli. "Enhancing Software Development Process Quality based on Metrics Correlation and Suggestion." In 13th International Conference on Software Technologies. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006856501540165.

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Reports on the topic "Software quality, processes and metrics"

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Yule, H. P., and C. A. Riemer. Program for implementing software quality metrics. Office of Scientific and Technical Information (OSTI), April 1992. http://dx.doi.org/10.2172/10166209.

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Yule, H. P., and C. A. Riemer. Program for implementing software quality metrics. Office of Scientific and Technical Information (OSTI), April 1992. http://dx.doi.org/10.2172/7233625.

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Kurt G. Vedros. SAPHIRE 8 Quality Assurance Software Metrics Report. Office of Scientific and Technical Information (OSTI), August 2011. http://dx.doi.org/10.2172/1031699.

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Royce, Walker. Pragmatic Quality Metrics for Evolutionary Software Development Models. Fort Belvoir, VA: Defense Technical Information Center, January 1991. http://dx.doi.org/10.21236/ada243022.

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Ett, William H., Jim Terrel, Adam Linehan, and Herb Krasner. Making Use of Your Defined Processes to Support Project Planning and Product Quality (Software Technology for Adaptable, Reliable Systems (STARS) Program). Fort Belvoir, VA: Defense Technical Information Center, February 1995. http://dx.doi.org/10.21236/ada292767.

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Vakaliuk, Tetiana A., Valerii V. Kontsedailo, Dmytro S. Antoniuk, Olha V. Korotun, Iryna S. Mintii, and Andrey V. Pikilnyak. Using game simulator Software Inc in the Software Engineering education. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3762.

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The article presents the possibilities of using game simulator Sotware Inc in the training of future software engineer in higher education. Attention is drawn to some specific settings that need to be taken into account when training in the course of training future software engineers. More and more educational institutions are introducing new teaching methods, which result in the use of engineering students, in particular, future software engineers, to deal with real professional situations in the learning process. The use of modern ICT, including game simulators, in the educational process, allows to improve the quality of educational material and to enhance the educational effects from the use of innovative pedagogical programs and methods, as it gives teachers additional opportunities for constructing individual educational trajectories of students. The use of ICT allows for a differentiated approach to students with different levels of readiness to study. A feature of any software engineer is the need to understand the related subject area for which the software is being developed. An important condition for the preparation of a highly qualified specialist is the independent fulfillment by the student of scientific research, the generation, and implementation of his idea into a finished commercial product. In the process of research, students gain knowledge, skills of the future IT specialist and competences of the legal protection of the results of intellectual activity, technological audit, marketing, product realization in the market of innovations. Note that when the real-world practice is impossible for students, game simulators that simulate real software development processes are an alternative.
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Shabelnyk, Tetiana V., Serhii V. Krivenko, Nataliia Yu Rotanova, Oksana F. Diachenko, Iryna B. Tymofieieva, and Arnold E. Kiv. Integration of chatbots into the system of professional training of Masters. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4439.

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The article presents and describes innovative technologies of training in the professional training of Masters. For high-quality training of students of technical specialties, it becomes necessary to rethink the purpose, results of studying and means of teaching professional disciplines in modern educational conditions. The experience of implementing the chatbot tool in teaching the discipline “Mathematical modeling of socio-economic systems” in the educational and professional program 124 System Analysis is described. The characteristics of the generalized structure of the chatbot information system for investment analysis are presented and given: input information, information processing system, output information, which creates a closed cycle (system) of direct and feedback interaction. The information processing system is represented by accounting and analytical data management blocks. The investment analysis chatbot will help masters of the specialty system analysis to manage the investment process efficiently based on making the right decisions, understanding investment analysis in the extensive structure of financial management and optimizing risks in these systems using a working mobile application. Also, the chatbot will allow you to systematically assess the disadvantages and advantages of investment projects or the direction of activity of a system analyst, while increasing interest in performing practical tasks. A set of software for developing a chatbot integrated into training is installed: Kotlin programming, a library for network interaction Retrofit, receiving and transmitting data, linking processes using the HTTP API. Based on the results of the study, it is noted that the impact of integrating a chatbot into the training of Masters ensures the development of their professional activities, which gives them the opportunity to be competent specialists and contributes to the organization of high-quality training.
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Modlo, Yevhenii O., Serhiy O. Semerikov, Stanislav L. Bondarevskyi, Stanislav T. Tolmachev, Oksana M. Markova, and Pavlo P. Nechypurenko. Methods of using mobile Internet devices in the formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3677.

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An analysis of the experience of professional training bachelors of electromechanics in Ukraine and abroad made it possible to determine that one of the leading trends in its modernization is the synergistic integration of various engineering branches (mechanical, electrical, electronic engineering and automation) in mechatronics for the purpose of design, manufacture, operation and maintenance electromechanical equipment. Teaching mechatronics provides for the meaningful integration of various disciplines of professional and practical training bachelors of electromechanics based on the concept of modeling and technological integration of various organizational forms and teaching methods based on the concept of mobility. Within this approach, the leading learning tools of bachelors of electromechanics are mobile Internet devices (MID) – a multimedia mobile devices that provide wireless access to information and communication Internet services for collecting, organizing, storing, processing, transmitting, presenting all kinds of messages and data. The authors reveals the main possibilities of using MID in learning to ensure equal access to education, personalized learning, instant feedback and evaluating learning outcomes, mobile learning, productive use of time spent in classrooms, creating mobile learning communities, support situated learning, development of continuous seamless learning, ensuring the gap between formal and informal learning, minimize educational disruption in conflict and disaster areas, assist learners with disabilities, improve the quality of the communication and the management of institution, and maximize the cost-efficiency. Bachelor of electromechanics competency in modeling of technical objects is a personal and vocational ability, which includes a system of knowledge, skills, experience in learning and research activities on modeling mechatronic systems and a positive value attitude towards it; bachelor of electromechanics should be ready and able to use methods and software/hardware modeling tools for processes analyzes, systems synthesis, evaluating their reliability and effectiveness for solving practical problems in professional field. The competency structure of the bachelor of electromechanics in the modeling of technical objects is reflected in three groups of competencies: general scientific, general professional and specialized professional. The implementation of the technique of using MID in learning bachelors of electromechanics in modeling of technical objects is the appropriate methodic of using, the component of which is partial methods for using MID in the formation of the general scientific component of the bachelor of electromechanics competency in modeling of technical objects, are disclosed by example academic disciplines “Higher mathematics”, “Computers and programming”, “Engineering mechanics”, “Electrical machines”. The leading tools of formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects are augmented reality mobile tools (to visualize the objects’ structure and modeling results), mobile computer mathematical systems (universal tools used at all stages of modeling learning), cloud based spreadsheets (as modeling tools) and text editors (to make the program description of model), mobile computer-aided design systems (to create and view the physical properties of models of technical objects) and mobile communication tools (to organize a joint activity in modeling).
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Quality characteristics and metrics for reusable software (preliminary report). Gaithersburg, MD: National Institute of Standards and Technology, 1994. http://dx.doi.org/10.6028/nist.ir.5459.

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