Abstract
This paper is intended to study the key performance indicators of team members working in an Agile project environment in a Global Software Development setup. Practitioners from nine different projects were chosen to respond to the survey measuring the escaped defects, team member’s velocity, deliverables and effort based performance indicators. These indicators are vital to any Agile project in a Global Software Development setup. The observed performance indicators were compared against the Gold Standard industry benchmarks to enable academicians and practitioners to take necessary course corrections to stay in the best case scenarios.
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Ashay, S., Johanna, B.: Factors affecting team performance in globally distributed setting. In: Proceedings of the 52nd ACM Conference on Computers and People Research, pp. 25–33 (2014)
Chamundeswari, A., Sriraghav, K., Baskaran, K.: Global software development: a design framework to measure the risk of the global practitioners. In: ACM International Conference on Computer and Communication Technology (2017)
Daniel, G., Fabian, F., Xiaofeng, W., Pekka, A.: Consequences of unhappiness while developing software. In: Proceedings of the 2nd International Workshop on Emotion Awareness in Software Engineering, pp. 42–47 (2017)
Cem, K., Walter, P.B.: Software engineering metrics: what do they measure and how do we know? In: Proceedings of the 10th International Software Metrics Symposium, Metrics (2004)
Emily, W., Ariadi, N., Joost, V., Aske, P.: Towards high performance software teamwork. In: Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering, pp. 212–215 (2013)
Fabian, F., Marko, I., Petri, K., Jürgen, M., Virpi, R., Pekka, A.: How do software developers experience team performance in lean and agile environments? In: Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering, p. 7 (2014)
Georgios, P.: Moving from traditional to agile software development methodologies also on large, distributed projects. In: International Conference on Strategic Innovative Marketing, IC-SIM 2014, Spain, Procedia - Social and Behavioral Sciences, vol. 175, pp. 455–463 (2015)
Itanauã, F.B., Marcela, P.O., Priscila, B.S.R., Tancicleide, C.S.G., Fabio, Q.B.D.S.: Towards understanding the relationships between interdependence and trust in software development: a qualitative research. In: 10th International Workshop on Cooperative and Human Aspects of Software Engineering, pp. 66–69 (2017)
Lucas, G., Richard, T., Robert, F.: Group development and group maturity when building agile teams: a qualitative and quantitative investigation at eight large companies. J. Syst. Softw. 124, 104–119 (2017)
Manal, E.B.: Analogy-based software development effort estimation in global software development. In: IEEE 10th International Conference on Global Software Engineering Workshops, pp. 51–54 (2015)
Paul, L., Andrew, J.K., Jiamin, Z.: What makes a great software engineer? In: 37th International Conference on Software Engineering, pp. 700–710 (2015)
Pressman, R.: Software Engineering: A Practitioner’s Approach. McGraw-Hill (2005)
Rafael, P., Marcelo, P., Sabrina, M.: Virtual team configurations that promote better product quality. In: Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (2016)
Razieh, L.S., Ye, Y., Guenther, R., David, M.: Leveraging Crowdsourcing for team elasticity: an empirical evaluation at TopCoder. In: IEEE/ACM 39th International Conference on Software Engineering: Software Engineering in Practice Track, pp. 103–112 (2017)
Ricardo, B., Darja, Š., Lars-Ola, D.: Experiences from measuring learning and performance in large-scale distributed software development. In: Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, vol. 17 (2016)
Ricardo, M.C., Paulo, F., Lucelene, L., Afonso, S., Alan, R.S., Thais, W.: Stochastic performance analysis of global software development teams. ACM Trans. Softw. Eng. Methodol. 25(3), 26:1–26:32 (2016)
Ronnie, E.S.S., Fabio, Q.B.D.S., Cleyton, V.C.D.M., Cleviton, V.F.M.: Building a theory of job rotation in software engineering from an instrumental case study. In: Proceedings of the 38th International Conference on Software Engineering, pp. 971–981 (2016)
Serhat, S., Ramazan, K., Bulent S.: Factors affecting multinational team performance. In: 12th International Strategic Management Conference, ISMC, Procedia - Social and Behavioral Sciences, vol. 25, no. 3, pp. 60–69 (2016)
IEEE, IEEE Std. 1061-1998: Standard for a Software Quality Metrics Methodology, revision. IEEE Standards Department, Piscataway, NJ (1998)
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Arumugam, C., Vaidayanthan, S., Karuppuchamy, H. (2018). Global Software Development: Key Performance Measures of Team in a SCRUM Based Agile Environment. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10963. Springer, Cham. https://doi.org/10.1007/978-3-319-95171-3_53
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