Extreme programming explained: embrace change
Extreme programming explained: embrace change
Experimentation in software engineering: an introduction
Experimentation in software engineering: an introduction
IEEE Software
How Developers Drive Software Evolution
IWPSE '05 Proceedings of the Eighth International Workshop on Principles of Software Evolution
Proceedings of the 28th international conference on Software engineering
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
The influence of organizational structure on software quality: an empirical case study
Proceedings of the 30th international conference on Software engineering
What do large commits tell us?: a taxonomical study of large commits
Proceedings of the 2008 international working conference on Mining software repositories
Empirical Software Engineering
What's a Typical Commit? A Characterization of Open Source Software Repositories
ICPC '08 Proceedings of the 2008 The 16th IEEE International Conference on Program Comprehension
Are developers complying with the process: an XP study
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
Are Heroes common in FLOSS projects?
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
Deriving metric thresholds from benchmark data
ICSM '10 Proceedings of the 2010 IEEE International Conference on Software Maintenance
Heroes in FLOSS Projects: An Explorative Study
WCRE '10 Proceedings of the 2010 17th Working Conference on Reverse Engineering
Modeling the effects of project management strategies on long-term product knowledge
PROFES'12 Proceedings of the 13th international conference on Product-Focused Software Process Improvement
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In spite of the potential relevance for managers and even though the Truck Factor definition is well-known in the "agile world" for many years, shared and validated measurements, algorithms, tools, thresholds and empirical studies on this topic are still lacking. In this paper, we explore the situation implementing the only approach proposed in literature able to compute the Truck Factor. Then, using our tool, we conduct an exploratory study with 37 open source projects for discovering limitations and drawbacks that could prevent its usage. Lessons learnt from the execution of the exploratory study and open issues are drawn at the end of this work. The most important lesson that we have learnt is that more research is needed to render the notion of Truck Factor operative and usable.