Factors Affecting Software Development Productivity: An empirical study
Resumo
The competitiveness has demanded from the software industry shorter delivery times for its products resulting in optimized life cycles, generating a need to increase its performance to maintain competitiveness in the markets where they operate. This context has made productivity study so fundamental that organizations not only evaluate their performance, but also provide means to improve it. The main goal of this paper is to investigate which factors affect productivity in software development projects and in open-source projects. In this work a Systematic Literature Review (SLR) was carried out in order to answer the research questions and a survey with practitioners community about their perception in relation to the factors of the productivity of the team. This empirical study led to the discovery of interesting factors that show how the different factors do (or do not) affect productivity. It was also found out that some factors appear to allow independence and responsibility of team, while others appear to cause a better distribution of tasks. The results show how factors such as people, product, organization, investment in technology, lack of contractual relations and engagement of open-source project contributors influence productivity.
Palavras-chave:
Metrics, Measurement, Productivity, Influence Factors, Empirical study
Referências
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Amir Hossein Ghapanchi, Aybüke Aurum, and Farhad Daneshgar. 2012. The Impact of Process Effectiveness on User Interest in Contributing to the Open Source Software Projects. JSW 7, 1 (2012), 212--219.
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Adrián Hernández-López, Ricardo Colomo Palacios, and Ángel García-Crespo. 2013. Software Engineering Job Productivity - a Systematic Review. International Journal of Software Engineering and Knowledge Engineering 23, 3 (2013), 387.
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Dongwon Kang, Jinhwan Jung, and Doo-Hwan Bae. 2011. Constraint-based human resource allocation in software projects. Softw., Pract. Exper. 41, 5 (2011), 551--577.
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Barbara Kitchenham. 2004. Procedures for performing systematic reviews. Keele, UK, Keele University 33, 2004 (2004), 1--26.
Barbara Kitchenham and Emilia Mendes. 2004. Software productivity measurement using multiple size measures. IEEE Transactions on Software Engineering 30, 12 (2004), 1023--1035.
Andrej Krajnc, Marjan Hericko, Crt Gerlec, Uros Goljat, and Gregor Polancic. 2012. Experimental investigation of the quality and productivity of software factories based development. Comput. Sci. Inf. Syst. 9, 2 (2012), 667--689.
Luigi Lavazza, Sandro Morasca, and Davide Tosi. 2016. An empirical study on the effect of programming languages on productivity. In Proceedings of the 31st Annual ACM Symposium on Applied Computing. ACM, 10.1145/2851613.2851780, 1434--1439.
Adailton Magalhães Lima, Rodrigo Quites Reis, and Carla Alessandra Lima Reis. 2015. Empirical Evidence of Factors Influencing Project Context in Distributed Software Projects. In CSD@ICSE. IEEE Computer Society, 10.1109/CSD.2015.8, 6--7.
Johan Linåker and Björn Regnell. 2017. A Contribution Management Framework for Firms Engaged in Open Source Software Ecosystems - A Research Preview. In REFSQ (Lecture Notes in Computer Science), Vol. 10153. Springer, 10.1007/978-3-319-54045-0_4, 50--57.
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Santiago Matalonga, Martín Solari, and Tomás San Feliu Gilabert. 2014. An empirically validated simulation for understanding the relationship between process conformance and technology skills. Software Quality Journal 22, 4 (2014), 593--609.
Katrina D Maxwell and Pekka Forselius. 2000. Benchmarking software development productivity. Ieee Software 17, 1 (2000), 80--88.
Claudia De O Melo, Daniela S Cruzes, Fabio Kon, and Reidar Conradi. 2013. Interpretative case studies on agile team productivity and management. Information and Software Technology 55, 2 (2013), 412--427.
André N. Meyer, Thomas Zimmermann, and Thomas Fritz. 2017. Characterizing Software Developers by Perceptions of Productivity. In ESEM. IEEE Computer Society, 0.1109/ESEM.2017.17, 105--110.
Ayse Tosun Misirli, June M. Verner, Jouni Markkula, and Markku Oivo. 2014. A survey on project factors that motivate Finnish software engineers. In RCIS. IEEE, 10.1109/RCIS.2014.6861052, 1--9.
Osamu Mizuno, Tohru Kikuno, Katsumi Inagaki, Yasunari Takagi, and Keishi Sakamoto. 2000. Statistical analysis of deviation of actual cost from estimated cost using actual project data. Information and Software Technology 42, 7 (2000), 465--473.
Sandro Morasca and Giuliano Russo. 2001. An empirical study of software productivity. In Computer Software and Applications Conference, 2001. COMPSAC 2001. 25th Annual International. IEEE, 07303157, 317--322.
John Moses and Malcolm Farrow. 2003. A procedure for assessing the influence of problem domain on effort estimation consistency. Software Quality Journal 11, 4 (2003), 283--300.
Christian Murphy, Kevin Buffardi, Josh Dehlinger, Lynn Lambert, and Nanette Veilleux. 2017. Community Engagement with Free and Open Source Software. In SIGCSE. ACM, 10.1145/3017680.3017682, 669--670.
Frank Nagle. 2019. Open Source Software and Firm Productivity. Management Science 65, 3 (2019), 1191--1215.
T.R. Gopalakrishnan Nair, V. Suma, and Pranesh Kumar Tiwari. 2012. Significance of depth of inspection and inspection performance metrics for consistent defect management in software industry. IET Software 6, 6 (2012), 524--535.
Jay F Nunamaker and Minder Chen. 1989. Software productivity: a framework of study and An approach to reusable components. In System Sciences, 1989. Vol. II: Software Track, Proceedings of the Twenty-Second Annual Hawaii International Conference on, Vol. 2. IEEE, 10.1109/HICSS.1989.48108, 959--968.
Edson Oliveira, Tayana Conte, Marco Cristo, and Emilia Mendes. 2016. Software Project Managers' Perceptions of Productivity Factors: Findings from a Qualitative Study. In Proceedings of the 10th ACM/IEEE international symposium on empirical software engineering and measurement. ACM, 10.1145/2961111.2962626, 15.
Edson Oliveira, Tayana Conte, Marco Cristo, and Natasha M. Costa Valentim. 2018. Influence Factors in Software Productivity - A Tertiary Literature Review. International Journal of Software Engineering and Knowledge Engineering 28, 11-12 (2018), 1795--1810.
Dinesh R. Pai, Girish H. Subramanian, and Parag C. Pendharkar. 2015. Benchmarking software development productivity of CMMI level 5 projects. Information Technology and Management 16, 3 (2015), 235--251.
Madhukar Pai, Michael McCulloch, Jennifer D Gorman, Nitika Pai, Wayne Enanoria, Gail Kennedy, Prathap Tharyan, and Jr JM Colford. 2004. Systematic reviews and meta-analyses: an illustrated, step-by-step guide. The National medical journal of India 17, 2 (2004), 86--95.
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Publicado
23/09/2019
Como Citar
CANEDO, Edna Dias; SANTOS, Giovanni Almeida.
Factors Affecting Software Development Productivity: An empirical study. In: SIMPÓSIO BRASILEIRO DE ENGENHARIA DE SOFTWARE (SBES), 33. , 2019, Salvador.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
