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Relevant bibliographies by topics / Software Engineering Productivity

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Academic literature on the topic 'Software Engineering Productivity'

Author: Grafiati

Published: 7 June 2025

Last updated: 16 July 2025

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Journal articles on the topic "Software Engineering Productivity"

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Hernández-López, Adrián, Ricardo Colomo-Palacios, Ángel García-Crespo, and Fernando Cabezas-Isla. "Software Engineering Productivity." International Journal of Information Technology Project Management 2, no. 1 (2011): 37–47. http://dx.doi.org/10.4018/jitpm.2011010103.

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Software engineering productivity has been widely studied, but there are many issues that remain unsolved. Interesting works related to new metrics and more replications of past productivity analysis have emerged, however, in order to fulfill these unsolved issues, a consensus about influencing factors and well recognized and useful sets of inputs and outputs for using in measurements must be reached. In this regard, a clear state of the art may shed light on further research in software engineering productivity, which remains a promising research area. In this paper, general concepts of softw

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Beam, Walter R., James D. Palmer, and Andrew P. Sage. "Systems Engineering for Software Productivity." IEEE Transactions on Systems, Man, and Cybernetics 17, no. 2 (1987): 163–86. http://dx.doi.org/10.1109/tsmc.1987.4309028.

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Hernández-López, Adrián, Ricardo Colomo-Palacios, Pedro Soto-Acosta, and Cristina Casado Lumberas. "Productivity Measurement in Software Engineering." International Journal of Information Technologies and Systems Approach 8, no. 1 (2015): 46–68. http://dx.doi.org/10.4018/ijitsa.2015010103.

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Productivity measurement is constructed by the measure of tree categories of elements: inputs, outputs and factors. This concept, which started being used in the manufacturing industry, has been also a research topic within Software Engineering (SE). In this area, the most used inputs are time and effort and the most used outputs are source code and functionality. Despite of their known limitations, many of the most used productivity measures are still being used due to the information that they provide for management goals. In order to enable the construction of new productivity measures for

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Yu, Weider D., D. Paul Smith, and Steel T. Huang. "Software Productivity Measurements." AT&T Technical Journal 69, no. 3 (1990): 110–20. http://dx.doi.org/10.1002/j.1538-7305.1990.tb00339.x.

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HERNÁNDEZ-LÓPEZ, ADRIÁN, RICARDO COLOMO-PALACIOS, and ÁNGEL GARCÍA-CRESPO. "SOFTWARE ENGINEERING JOB PRODUCTIVITY — A SYSTEMATIC REVIEW." International Journal of Software Engineering and Knowledge Engineering 23, no. 03 (2013): 387–406. http://dx.doi.org/10.1142/s0218194013500125.

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Productivity is a key element in organizational management. Although it can be measured at different levels (country, sector, organization …) this research focuses on productivity at the job level. The aim of this paper is to obtain an overview of the state of the art in productivity measurement in software engineering, including the inputs and outputs of the production process used for this measurement at the job level in the workplace. To do so, a systematic literature review protocol was adapted from literature review protocol standards, and subsequently carried out. The objective is to ass

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Norman, Ronald J., and Jay F. Nunamaker. "CASE productivity perceptions of software engineering professionals." Communications of the ACM 32, no. 9 (1989): 1102–8. http://dx.doi.org/10.1145/66451.66458.

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Biswas, Saumen. "Predictive Metrics: Transforming Engineering Productivity and Software Quality." International Journal of Computer Trends and Technology 73, no. 1 (2025): 51–56. https://doi.org/10.14445/22312803/ijctt-v73i1p106.

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Aramo-Immonen, Heli, Hannu Jaakkola, and Harri Keto. "Multicultural Software Development." International Journal of Information Technology Project Management 2, no. 1 (2011): 19–36. http://dx.doi.org/10.4018/jitpm.2011010102.

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Productivity management is a challenge for software engineering companies and, in this regard, there is a current trend toward globalization. Via acquisitions and mergers, business has become international and employs different national cultures. Therefore, the focus of this article is on the understanding of cultural differences affecting productivity in globalized software production. The relation between productivity and non coding activities in software development projects has not been proven. Software development is expert work, typically made in closely collaborating local teams and glo

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Thilmany, Jean. "Pushing Productivity." Mechanical Engineering 123, no. 12 (2001): 48–50. http://dx.doi.org/10.1115/1.2001-dec-3.

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This article reviews computer-aided engineering software that is used to boost productivity ranges from computer-aided design (CAD) systems to product data management and visualization systems. MacDon Industries used a Solid Edge product to merge CAD and product data management (PDM) systems to give engineers easy access to already created designs. MacDon tracks its tens of thousands of part designs by use of Solid Edge so engineers do not have to spend considerable time searching for the designs. Bayside Automation of Canonsburg, Pennsylvania, which makes automated assembly systems on which f

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Kontsevoi, Boris. "Predictive Software Engineering: Empowering Business Success with Tailored Software Solutions." International Journal of Software Engineering & Applications 15, no. 3 (2024): 01–12. http://dx.doi.org/10.5121/ijsea.2024.15301.

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This paper explores the seven core principles of the Predictive Software Engineering (PSE) framework. These principles are designed to empower custom software development companies to deliver transparent and reliable solutions, all while adhering to predetermined budgets. The paper delves into each of the seven principles: Meaningful Customer Care, Transparent End-to-End Control, Proven Productivity, Efficient Distributed Teams, Disciplined Agile Delivery Process, Measurable Quality Management and Technical Debt Reduction, and Sound Human Development.

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Dissertations / Theses on the topic "Software Engineering Productivity"

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Lipkin, Ilya. "Testing Software Development Project Productivity Model." University of Toledo / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1321593577.

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Yun, Seok Jun. "Productivity prediction model based on Bayesian analysis and productivity console." Texas A&M University, 2003. http://hdl.handle.net/1969.1/2305.

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Software project management is one of the most critical activities in modern software development projects. Without realistic and objective management, the software development process cannot be managed in an effective way. There are three general problems in project management: effort estimation is not accurate, actual status is difficult to understand, and projects are often geographically dispersed. Estimating software development effort is one of the most challenging problems in project management. Various attempts have been made to solve the problem; so far, however, it remains a complex

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Long, Rick, and Peter Crump. "SOFTWARE QUALITY AND PRODUCTIVITY: ARE THEY COMPATIBLE?" International Foundation for Telemetering, 1999. http://hdl.handle.net/10150/608443.

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International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>Many view quality and productivity as competing concepts. After all, doesn’t high software quality come at a high cost? Doesn’t it mean that a large amount of "extra stuff" needs to be done during the software development cycle? And, doesn’t that mean that software productivity takes a back seat to (and a major hit from) quality efforts? This paper will explore these issues. This paper provides some preliminary data that supports how a disciplined software enginee

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Gupta, Shweta. "Software Development Productivity Metrics, Measurements and Implications." Thesis, University of Oregon, 2018. http://hdl.handle.net/1794/23816.

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The rapidly increasing capabilities and complexity of numerical software present a growing challenge to software development productivity. While many open source projects enable the community to share experiences, learn and collaborate; estimating individual developer productivity becomes more difficult as projects expand. In this work, we analyze some HPC software Git repositories with issue trackers and compute productivity metrics that can be used to better understand and potentially improve development processes. Evaluating productivity in these communities presents additional challenges b

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Zielieke, Jane. "Maximizing student software engineer productivity in hybrid commercial-educational environments." Online version, 2004. http://www.uwstout.edu/lib/thesis/2004/2004zieliekej.pdf.

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Tomaszewski, Piotr. "Software Development Productivity Issues in Large Telecommunication Applications." Licentiate thesis, Ronneby : Blekinge Institute of Technology, 2005. http://www.bth.se/fou/forskinfo.nsf/01f1d3898cbbd490c12568160037fb62/f7452f4c8d5c134ec125700d0048226b!OpenDocument.

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Delorey, Daniel Pierce. "Observational Studies of Software Engineering Using Data from Software Repositories." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd1716.pdf.

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Mudek, Jennifer M. "Absenteeism in an International Custom Software Engineering Company." ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2937.

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Absenteeism has a negative impact on organizational output in the form of lost productivity and profit reduction for software engineering companies. The purpose of this qualitative descriptive case study was to explore the strategies that software engineering managers utilize for reducing absenteeism. The theory of planned behavior formed the conceptual framework for this study. Data were collected through semistructured interviews from a purposeful sample of 11 managers at an international custom software engineering company. Data collection also included organizational data on employee absen

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Breideband, Thomas [Verfasser]. "PROGRAMMED ‘TREASURIES OF ELOQUENCE’: A RHETORICAL TAKE ON PRODUCTIVITY AIDS IN AUDIO ENGINEERING SOFTWARE / Thomas Breideband." Mainz : Universitätsbibliothek der Johannes Gutenberg-Universität Mainz, 2021. http://d-nb.info/1231433450/34.

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Melo, Claudia de Oliveira. "Productivity of agile teams: an empirical evaluation of factors and monitoring processes." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-25052015-120242/.

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Lower cost and shorter time-to-market expectations are the major drivers of software productivity improvements. To manage productivity effectively, it is important to identify the most relevant difficulties and develop strategies to cope with them. Agile methods, including Extreme Programming and Scrum, have evolved as approaches to simplify software development process, potentially leading to better productivity. They aim to shorten development time and handle the inevitable changes resulting from market dynamics. Although the industry has extensively adopted agile methods, little research h

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Books on the topic "Software Engineering Productivity"

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Sadowski, Caitlin, and Thomas Zimmermann, eds. Rethinking Productivity in Software Engineering. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4221-6.

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Sadowski, Caitlin. Rethinking Productivity in Software Engineering. Springer Nature, 2019.

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Company, Hewlett-Packard. Software engineering productivity: Sharing our experience in software : HP CASEdge/Knowledge. Hewlett Packard, 1989.

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Lee, Matthew. Software Quality and Productivity: Theory, practice, education and training. Springer US, 1995.

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Muthu, Ramachandran, and Carvalho Rogério Atem de, eds. Handbook of research on software engineering and productivity technologies: Implications of globalization. Information Science Reference, 2009.

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Schmid, Klaus. Top Productivity through Software Reuse: 12th International Conference on Software Reuse, ICSR 2011, Pohang, South Korea, June 13-17, 2011. Proceedings. Springer Berlin Heidelberg, 2011.

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Tausworthe, Robert C. A communication channel model of the software process. National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1988.

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1939-, Einarsson Bo, ed. Accuracy and reliability in scientific computing. Society for Industrial and Applied Mathematics, 2005.

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Software engineering productivity handbook. Windcrest/McGraw-Hill, 1993.

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Software Engineering Productivity Handbook. Mcgraw-hill Inc, 1993.

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Book chapters on the topic "Software Engineering Productivity"

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Mendes, Emilia. "Web Cost Estimation and Productivity Benchmarking." In Software Engineering. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-95888-8_8.

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Billington, J. "ISO Standards in Software Engineering." In Software Quality and Productivity. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34848-3_28.

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Wagner, Stefan, and Florian Deissenboeck. "Defining Productivity in Software Engineering." In Rethinking Productivity in Software Engineering. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4221-6_4.

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Tervonen, Ilkka. "A Unifying Model for Software Quality Engineering." In Software Quality and Productivity. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34848-3_30.

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Champion, R. E. M. "Assessing the Quality of Requirements Engineering Products." In Software Quality and Productivity. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34848-3_33.

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Fong, J., and I. Kwan. "An re-engineering Approach for Object-Oriented Database Design." In Software Quality and Productivity. Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34848-3_21.

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Maly, Kurt J., Dennis E. Ray, J. Christian Wild, et al. "Computer productivity initiative: Past, present, and future." In Software Engineering Education. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-58951-1_89.

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Storey, Margaret-Anne, and Christoph Treude. "Software Engineering Dashboards: Types, Risks, and Future." In Rethinking Productivity in Software Engineering. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4221-6_16.

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Singpurwalla, Nozer D., and Simon P. Wilson. "Software Productivity and Process Management." In Statistical Methods in Software Engineering. Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-0565-4_5.

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Sadowski, Caitlin, Margaret-Anne Storey, and Robert Feldt. "A Software Development Productivity Framework." In Rethinking Productivity in Software Engineering. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4221-6_5.

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Conference papers on the topic "Software Engineering Productivity"

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Fu, Bin, Xiaolu Zhu, Yang Lu, Tao Lin, Xiaochen Lv, and Yaning Wu. "Software Productivity Research on Software Cost Estimation Using Quantile-based Scale Measure." In 2024 IEEE 4th International Conference on Software Engineering and Artificial Intelligence (SEAI). IEEE, 2024. http://dx.doi.org/10.1109/seai62072.2024.10674639.

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Tsunoda, Masateru, Shohei Sinto, Takeshi Yamada, and Hidetsugu Suto. "Assuring Data Integrity on Commercial Gamification Software Considering Productivity: an Industrial Case Study." In 2024 IEEE 35th International Symposium on Software Reliability Engineering Workshops (ISSREW). IEEE, 2024. https://doi.org/10.1109/issrew63542.2024.00062.

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Brandebusemeyer, Charlotte. "Interactions with Generative AI: Wearables to Measure Developer Experience and Productivity Objectively." In 2025 IEEE/ACM 47th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion). IEEE, 2025. https://doi.org/10.1109/icse-companion66252.2025.00043.

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Canedo, Edna Dias, and Giovanni Almeida Santos. "Factors Affecting Software Development Productivity." In SBES 2019: XXXIII Brazilian Symposium on Software Engineering. ACM, 2019. http://dx.doi.org/10.1145/3350768.3352491.

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Graham, B. B. "Applying software tools to enhance engineering group productivity." In Applied Power Electronics Conference and Exposition. IEEE, 1990. http://dx.doi.org/10.1109/apec.1990.66360.

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Bohner, Shawn A., and Sriram Mohan. "Model-Based Engineering of Software: Three Productivity Perspectives." In 2009 33rd Annual IEEE Software Engineering Workshop. IEEE, 2009. http://dx.doi.org/10.1109/sew.2009.19.

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Smith, Ross. "Using games to improve productivity in software engineering." In the ACM SIGKDD Workshop. ACM Press, 2010. http://dx.doi.org/10.1145/1837885.1837887.

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Moazeni, Ramin, Daniel Link, and Barry Boehm. "Lehman's Laws and the Productivity of Increments: Implications for Productivity." In 2013 20th Asia-Pacific Software Engineering Conference (APSEC). IEEE, 2013. http://dx.doi.org/10.1109/apsec.2013.84.

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Besker, Terese, Antonio Martini, and Jan Bosch. "Technical debt cripples software developer productivity." In ICSE '18: 40th International Conference on Software Engineering. ACM, 2018. http://dx.doi.org/10.1145/3194164.3194178.

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Faulk, S. "Toward accurate HPC productivity measurement." In "Software Engineering for High Performance Computing System (HPCS) Applications" W3S Workshop - 26th International Conference on Software Engineering. IEE, 2004. http://dx.doi.org/10.1049/ic:20040417.

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Reports on the topic "Software Engineering Productivity"

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Ahmed, Qadeer, and Vishnu Renganathan. Cybersecurity and Digital Trust Issues in Connected and Automated Vehicles. SAE International, 2024. http://dx.doi.org/10.4271/epr2024009.

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<div class="section abstract"><div class="htmlview paragraph">Given the rapid advancements in engineering and technology, it is anticipated that connected and automated vehicles (CAVs) will soon become prominent in our daily lives. This development has a vast potential to change the socio-technical perception of public, personal, and freight transportation. The potential benefits to society include reduced driving risks due to human errors, increased mobility, and overall productivity of autonomous vehicle consumers. On the other hand, the potential risks associated with CAV deploy

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