Extreme programming explained: embrace change
Extreme programming explained: embrace change
Does a programmer's activity indicate knowledge of code?
Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Are developers complying with the process: an XP study
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
Heroes in FLOSS Projects: An Explorative Study
WCRE '10 Proceedings of the 2010 17th Working Conference on Reverse Engineering
Proceedings of the 2nd International Workshop on Emerging Trends in Software Metrics
On the difficulty of computing the truck factor
PROFES'11 Proceedings of the 12th international conference on Product-focused software process improvement
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In a team, people sometimes leave the team and become replaced by new persons with less experience, and sometimes people participate in new activities and thereby obtain new knowledge. Different processes, in terms of different management strategies, can be followed, e.g., to introduce people to new tasks so they get new knowledge. There is a need to investigate the long term effects of different strategies on a team's software product knowledge. This paper presents an initial approach for how this type of knowledge can be modeled as a stochastic process. Metrics representing the long term effects on knowledge are derived, and two different example strategies are investigated numerically. Based on this it is discussed how the model can be further elaborated and evaluated.