Relevant bibliographies by topics / Computer software – Quality control

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

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Published: 4 June 2021
Last updated: 31 July 2024

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

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Weed, Richard M. "Quality Assurance Software for Personal Computer." Transportation Research Record: Journal of the Transportation Research Board 1544, no. 1 (January 1996): 116–24. http://dx.doi.org/10.1177/0361198196154400114.

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Demonstration Project 89 on Quality Management was created to provide guidance on the use of practical and effective procedures to assure that the level of quality designed into the plans and specifications is actually achieved in the constructed product. One part of this effort is the distribution of a software package consisting of several interactive programs developed for use on the personal computer. These extremely user-friendly programs make it possible to analyze both pass/fail and pay adjustment acceptance procedures, construct operating characteristic curves, plot control charts, experiment with computer simulation, perform statistical comparisons of data sets, demonstrate the unreliability of decisions based on a single test result, and explore the effectiveness of stratified random sampling. This comprehensive software package provides highway engineers with the necessary tools to learn why some statistical procedures are inherently superior to others and how to incorporate this knowledge into fair and effective construction specifications.
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Jacco, Wesselius, and Ververs Frans. "Some elementary questions on software quality control." Software Engineering Journal 5, no. 6 (1990): 319. http://dx.doi.org/10.1049/sej.1990.0035.

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Hayashi, Toshihiro, and Takashi Owaki. "V. Quality Centered Methodology and Tools for Developing Computer Control Software." IEEJ Transactions on Electronics, Information and Systems 114, no. 6 (1994): 645–53. http://dx.doi.org/10.1541/ieejeiss1987.114.6_645.

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Rushinek, Avi, Sara F. Rushinek, and Joel Stutz. "Relationship of Computer Users' Performance to Their Attitudes toward Interactive Software." Journal of Educational Technology Systems 13, no. 4 (June 1985): 255–64. http://dx.doi.org/10.2190/0dxe-v5va-h31b-dmyt.

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The present study suggests a method of integrating user performance and attitudes toward the computer system into the quality control procedures (QCP). The objective of this approach is to enable the decision makers to manage by exceptions (MBE) and thus be more effective and more efficient. Accordingly, this study computes the correlations between performance related variables and users' attitudes. The computer facility management will investigate only systems whose users have demonstrated performance or attitudes below a desirable minimum level and thus manage by exception. Likewise, the relationship between performance and attitude will be investigated.
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Anagnostopoulos, C., D. Vergados, E. Kayafas, V. Loumos, and G. Stassinopoulos. "A computer vision approach for textile quality control." Journal of Visualization and Computer Animation 12, no. 1 (2001): 31–44. http://dx.doi.org/10.1002/vis.245.

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Hao, Li Ping. "Design and Implementation of Food Processing Quality Traceability System Based on CMM." Applied Mechanics and Materials 651-653 (September 2014): 1552–56. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.1552.

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With the widely applied computer control system, especially the distributed control system, the complexity of control software is becoming higher and higher, and the quality of the software directly affects the reliability of control system. This paper develops a new traceability system for food processing by using VB programming software and CMM computer software testing technology, and sets up the quality traceability control model of food processing, which realizes the optimal allocation between the raw material batch and the order. Quality traceability system for CMM food processing designed in the third section is verified. The traceability of the quality in the process of food processing can adjust the process of food processing, so as to obtain new quality curve, and to provide a theoretical basis for the research on the quality control of food processing.
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Önnerth, T. B., M. K. Nielsen, and C. Stamer. "Advanced computer control based on real and software sensors." Water Science and Technology 33, no. 1 (January 1, 1996): 237–45. http://dx.doi.org/10.2166/wst.1996.0023.

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The introduction of state-of-the-art on-line meters is the first step towards achieving more intelligent operation of wastewater treatment plants as the directly involved parameters are known. The use of these on-line measurements is dependent on the reliability of the data, which is the control system STAR, Superior Tuning and Reporting, is secured by DQC, Data Quality Control. With reliable measurements combined with selected operational data, it is possible to identify process relations and implement on-line control strategies such as those performed by STAR today in oxygen set point control, intermittent aeration control and recirculation control. Some of the STAR control functions are based on a certain kind of calculations described as software sensors, where information is achieved from qualified data and statistical data handling. Software sensors give an improved basis for on-line control strategies. These model-based “sensors” are available in an advanced process control systems such as STAR. The results compiled at the Sydkysten WWTP show that the introduction of STAR control affords larger economies than expected. Today, the amount of energy consumed at the plant has been reduced by 30% and the dosing of carbon for denitrification by 100%. The economies achieved run into approx. DKK 470,000 per year and the new expense relating to the operation and maintenance of meters is, by comparison, DKK 55,000.
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Kemp, Alasdair. "Software—where's the quality?" Computing & Control Engineering Journal 4, no. 1 (1993): 45. http://dx.doi.org/10.1049/cce:19930009.

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Pyle, Ian. "Software Quality and Reliability." Computing & Control Engineering Journal 4, no. 2 (1993): 54. http://dx.doi.org/10.1049/cce:19930013.

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Cho, Sang-Young, and Sung-Kyu Yoo. "A Quality Evaluation Model for Hardware-Control Software." Advanced Science Letters 23, no. 10 (October 1, 2017): 9607–11. http://dx.doi.org/10.1166/asl.2017.9757.

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Dissertations / Theses on the topic "Computer software – Quality control"

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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.
Department of Computer Science
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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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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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Stineburg, Jeffrey. "Software reliability prediction based on design metrics." Virtual Press, 1999. http://liblink.bsu.edu/uhtbin/catkey/1154775.

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This study has presented a new model for predicting software reliability based on design metrics. An introduction to the problem of software reliability is followed by a brief overview of software reliability models. A description of the models is given, including a discussion of some of the issues associated with them. The intractability of validating life-critical software is presented. Such validation is shown to require extended periods of test time that are impractical in real world situations. This problem is also inherent in fault tolerant software systems of the type currently being implemented in critical applications today. The design metrics developed at Ball State University is proposed as the basis of a new model for predicting software reliability from information available during the design phase of development. The thesis investigates the proposition that a relationship exists between the design metric D(G) and the errors that are found in the field. A study, performed on a subset of a large defense software system, discovered evidence to support the proposition.
Department of Computer Science
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Black, Angus Hugh. "Software quality assurance in a remote client/contractor context." Thesis, Rhodes University, 2006. http://hdl.handle.net/10962/d1006615.

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With the reliance on information technology and the software that this technology utilizes increasing every day, it is of paramount importance that software developed be of an acceptable quality. This quality can be achieved through the utilization of various software engineering standards and guidelines. The question is, to what extent do these standards and guidelines need to be utilized and how are these standards and guidelines implemented? This research focuses on how guidelines developed by standardization bodies and the unified process developed by Rational can be integrated to achieve a suitable process and version control system within the context of a remote client/contractor small team environment.
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Pipkin, Jeffrey A. "Applying design metrics to large-scale telecommunications software." Virtual Press, 1996. http://liblink.bsu.edu/uhtbin/catkey/1036178.

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The design metrics developed by the Design Metrics team at Ball State University are a suite of metrics that can be applied during the design phase of software development. The benefit of the metrics lies in the fact that the metrics can be applied early in the software development cycle. The suite includes the external design metric De,the internal design metric D27 D(G), the design balance metric DB, and the design connectivity metric DC.The suite of design metrics have been applied to large-scale industrial software as well as student projects. Bell Communications Research of New Jersey has made available a software system that can be used to apply design metrics to large-scale telecommunications software. This thesis presents the suite of design metrics and attempts to determine if the characteristics of telecommunications software are accurately reflected in the conventions used to compute the metrics.
Department of Computer Science
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Bhattrai, Gopendra R. "An empirical study of software design balance dynamics." Virtual Press, 1995. http://liblink.bsu.edu/uhtbin/catkey/958786.

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The Design Metrics Research Team in the Computer Science Department at Ball State University has been engaged in developing and validating quality design metrics since 1987. Since then a number of design metrics have been developed and validated. One of the design metrics developed by the research team is design balance (DB). This thesis is an attempt to validate the metric DB. In this thesis, results of the analysis of five systems are presented. The main objective of this research is to examine if DB can be used to evaluate the complexity of a software design and hence the quality of the resulting software. Two of the five systems analyzed were student projects and the remaining three were from industry. The five systems analyzed were written in different languages, had different sizes and exhibited different error rates.
Department of Computer Science
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Walia, Gursimran Singh. "Using error modeling to improve and control software quality an empirical investigation /." Diss., Mississippi State : Mississippi State University, 2009. http://library.msstate.edu/etd/show.asp?etd=etd-04032009-070637.

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Books on the topic "Computer software – Quality control"

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Tian, Jeff. Software Quality Engineering. New York: John Wiley & Sons, Ltd., 2005.

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Dobbins, James H. Software quality assurance and evaluation. Milwaukee, Wis: ASQC Quality Press, 1990.

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Carl, Tasso, Pighin M, Adey R. A, and International Conference on Software Quality Engineering (1st : 1997 : Udine, Italy), eds. Software quality engineering. Southampton [England]: Computational Mechanics Publications, 1997.

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Sharp, Alec. Software quality and productivity. New York: Van Nostrand Reinhold, 1993.

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Yeh, Hsiang-Tao. Software process quality. New York: McGraw-Hill, 1993.

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International Conference on Software Quality Management (1st 1993 Southampton, England). Software quality management. Edited by Ross M. 1946- and IBM UK Laboratories. Southampton: Computational Mechanics Publications, 1993.

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Wilson, Rodney C. Software Rx: Secrets of engineering quality software. Upper Saddle River, N.J: Prentice Hall PTR, 1997.

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1934-, Baker Emanuel R., ed. Software process quality: Management and control. New York: Marcel Dekker, 1999.

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Gordon, Schulmeyer G., and McManus James I, eds. Handbook of software quality assurance. 2nd ed. New York: Van Nostrand Reinhold, 1992.

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Gordon, Schulmeyer G., and McManus James I, eds. Total quality management for software. New York: Van Nostrand Reinhold, 1992.

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Book chapters on the topic "Computer software – 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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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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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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Garg, Rachit Mohan, Kapil Kumar, and Yamini Sood. "Cost Control and Quality Maintenance Metrics for Component- Based Software Development." In Computer Networks and Information Technologies, 478–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19542-6_92.

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Canonico, Roberto, Francesco Flammini, Stefano Marrone, Roberto Nardone, and Valeria Vittorini. "Automatic Generation of Domain-Aware Control Plane Logic for Software Defined Railway Communication Networks." In Lecture Notes in Computer Science, 308–20. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19762-8_23.

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AbstractThe emergence of 5G technologies opens up new opportunities for railway communications. One of the foundational aspects of 5G architecture is its control-plane programmability, which can be achieved through Software Defined Networking (SDN). In railway scenarios, this can be used to dynamically reconfigure the network for a more effective and efficient management of communication flows produced by moving trains. The paper presents a framework for integrating modelling and analysis tools into a programmable control plane specifically tailored to railway communications. We introduce the concept of domain-awareness in the network control plane as an SDN-enabled feature that allows achieving application-specific advantages besides those purely expressed in terms of key performance indicators such as the quality of service. We propose a reference architecture in which domain-awareness in the control plane is obtained by considering information gathered by network devices and ad-hoc communication gateways that are able to detect relevant signalling events. In the architecture, the actual behaviour of the SDN controller is governed by applications that are able to react to specific triggers and re-configure network devices accordingly. We also provide a methodological framework based on model-driven engineering and formal methods, including dynamic state machines, for the automatic generation of SDN control plane logic.
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El-Balaa, Hanna, Pascal Grandjean, Dimitri Lefkopoulos, Fredéric Julia, Jean-Noël Foulquier, and Emmanuel Touboul. "A quality control of a virtual simulation system including an inverse DRR software." In The Use of Computers in Radiation Therapy, 108–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59758-9_39.

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Belanger, Philippe, Yanic Bercier, William Parker, and Dimitre Hristov. "A software system for patient-specific quality control of intensity-modulated radiation treatments by Fricke-gel dosimetry." In The Use of Computers in Radiation Therapy, 394–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59758-9_149.

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Wagner, Stefan. "Quality Control." In Software Product Quality Control, 111–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38571-1_4.

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Luo, Xiancheng. "The Research on Structural Design of Vehicle Integrated Display and Control Console." In Lecture Notes in Mechanical Engineering, 315–30. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1876-4_25.

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AbstractThe display console and vehicle platform designed in this paper adopt an integrated structure design, the structure is simple and beautiful, easy to operate and easy to maintain, and the standard function module is selected as far as possible to meet the standardization requirements. Based on the design idea of generalization, serialization and combination, the display console is divided into unit design, which can be successively divided into: display unit, control unit, display and control processing unit and cabinet unit. Among them, the display unit and control unit learn from the mature design technology to ensure the design quality; The display and control processing unit is designed separately, with rigid connections to both the display unit and control unit externally, and the internal air duct is set up to meet the heat dissipation requirements. The cabinet unit is arranged under the display and control processing unit and the two are rigidly connected to ensure the overall structural rigidity and provide required installation space for user devices. The display console adopts split designs to support quick installation, disassembly and handling of four units. 3D design software is used to analyse the installation space, visual field, hand operation space, knee space and maintenance space of the display console to ensure that the display console has a good human–computer interaction function. The internal space of the display console is designed with three-dimensional wiring, the routing path of each cable in each unit is planned, and the cable can be customized in advance, which greatly improves the efficiency of on-site electrical assembly. Mechanical analysis software is used to simulate the main structure of the display console to ensure that the whole display console meets the mechanical performance requirements. The above design and analysis have certain guiding significance for similar design work of vehicle display console.
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Conference papers on the topic "Computer software – Quality control"

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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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Aljarallah, Sulaiman, and Russell Lock. "A Comparison of Software Quality Characteristics and Software Sustainability Characteristics." In ISCSIC 2019: 2019 3rd International Symposium on Computer Science and Intelligent Control. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3386164.3389078.

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Yang, Li. "Research on Translation Quality Control of Computer-Aided Translation Software Trados." In 2022 3rd International Conference on Education, Knowledge and Information Management (ICEKIM). IEEE, 2022. http://dx.doi.org/10.1109/icekim55072.2022.00229.

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Desai, Kiran, Renuka Agarwal, S. Sumith Shankar, Rajiv R. Chetwani, M. Ravindra, and K. M. Bharadwaj. "Novel approach to mars orbiter mission software quality assurance." In 2015 International Conference on Computer, Communication and Control (IC4). IEEE, 2015. http://dx.doi.org/10.1109/ic4.2015.7375720.

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Esche, Marko, Levin Ho, Martin Nischwitz, and Reinhard Meyer. "Risk-Based Continuous Quality Control for Software in Legal Metrology." In 18th Conference on Computer Science and Intelligence Systems. IEEE, 2023. http://dx.doi.org/10.15439/2023f6171.

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LI, Zhi, Bo GONG, Xingui HE, and Ziyue YU. "A DEFINITION OF SOFTWARE PROCESS QUALITY BASED ON STATISTICAL PROCESS CONTROL." In 11th Joint International Computer Conference - JICC 2005. WORLD SCIENTIFIC, 2005. http://dx.doi.org/10.1142/9789812701534_0181.

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JingFeng Ning, Zhiyu Chen, and Gang Liu. "PDCA process application in the continuous improvement of software quality." In 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering (CMCE 2010). IEEE, 2010. http://dx.doi.org/10.1109/cmce.2010.5609635.

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Mahmoud, Zeinab, Aiman Solyman, and Arafat Abdulgader Mohammed Elhag. "Harmonized Software Quality Improvement Models for Sudanese SME Based on CMMI." In 2019 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE). IEEE, 2019. http://dx.doi.org/10.1109/iccceee46830.2019.9071148.

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Ceesay, Rattana, Thapana Boonchoo, and Prapaporn Rattanatamrong. "Machine Learning Approaches for Quality Control in Pulp Packaging Manufacturers." In 2023 20th International Joint Conference on Computer Science and Software Engineering (JCSSE). IEEE, 2023. http://dx.doi.org/10.1109/jcsse58229.2023.10202113.

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Kaczmarek, Sylwester, and Magdalena Mlynarczuk. "Quality of Service in ASON/GMPLS Network with Hierarchical Control Plane Structure." In 2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). IEEE, 2020. http://dx.doi.org/10.23919/softcom50211.2020.9238242.

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Reports on the topic "Computer software – 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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Singh, R. P., W. T. Chu, B. A. Ludewigt, K. M. Marks, M. A. Nyman, T. R. Renner, and R. Stradtner. Software quality assurance and software safety in the Biomed Control System. Office of Scientific and Technical Information (OSTI), October 1989. http://dx.doi.org/10.2172/7001519.

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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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4

Pertzborn, N. F. Windows Calorimeter Control (WinCal) program computer software design description. Office of Scientific and Technical Information (OSTI), March 1997. http://dx.doi.org/10.2172/16927.

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5

Pertzborn, N. F. Windows Calorimeter Control (WinCal) program computer software test plan. Office of Scientific and Technical Information (OSTI), March 1997. http://dx.doi.org/10.2172/16929.

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6

Vorwerk, Michael C., Jennifer A. Moore, and Joe H. Carroll. Water Quality Remote Monitor Control and Data Management Software. Fort Belvoir, VA: Defense Technical Information Center, June 1996. http://dx.doi.org/10.21236/ada286890.

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7

Hibbert, Angela, Jue Lin, and Begona Pérez Gómez. Automated tide gauge data quality control software and report. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d5.7.

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The WP5 Coastal Resilience and Operational Services demonstrator aims to design and deploy innovative sea level monitoring systems, integrating their observations with downscaled model forecasts into an alert-based monitoring and forecasting tool (OSPAC) that is design for use by ports and local authorities. As part of this data integration process, sea level observations must be quality-controlled in near real-time, to minimise the risk of false alarms. This has historically been achieved using an established open-source software package (SELENE). Recent progress using automatic quality control (QC) in delayed mode has led to the development of additional functionality that could enhance the SELENE software. At the same time, the delivery of new sea level time series from Global Navigation Satellite Systems (GNSS), provides an additional means of data validation. WP5 aims to enhance the SELENE software by incorporating these enhancements and new data feeds, thereby improving the quality of the OSPAC tool. A delay in the installation of the sea level monitoring systems has led to a corresponding delay in the provision of data inputs to SELENE and subsequently to OSPAC. Some development work has been possible using alternative test time series, but a key implementer in presently taking parental leave, which will delay further development work until October 2023. This deliverable report will be updated thereafter. (EuroSea Deliverable, D5.7)
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8

Gill, Janet A. Flight Control Computer Development Through Application of Software Safety Technology,. Fort Belvoir, VA: Defense Technical Information Center, October 1995. http://dx.doi.org/10.21236/ada305293.

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9

Author, Not Given. Windows Calorimeter Control (WinCal) program computer software configuration management plan. Office of Scientific and Technical Information (OSTI), March 1997. http://dx.doi.org/10.2172/16925.

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10

Buhl, M. L., Jr. and H. J. Green. Software Quality-Control Guidelines for Codes Developed for the NWTC. Office of Scientific and Technical Information (OSTI), June 1999. http://dx.doi.org/10.2172/9788.

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