Measuring and predicting software productivity: A systematic map and review

@article{Petersen2011MeasuringAP,
  title={Measuring and predicting software productivity: A systematic map and review},
  author={Kai Petersen},
  journal={Information & Software Technology},
  year={2011},
  volume={53},
  pages={317-343}
}
0950-5849/$ see front matter 2010 Elsevier B.V. A doi:10.1016/j.infsof.2010.12.001 ⇑ Address: School of Computing, Blekinge Institute 372 25, Sweden. E-mail addresses: kai.petersen@bth.se, kai.petersen URLs: http://www.bth.se/besq, http://www.ericsso Context: Software productivity measurement is essential in order to control and improve the performance of software development. For example, by identifying role models (e.g. projects, individuals, tasks) when comparing productivity data. The… CONTINUE READING
Highly Cited
This paper has 84 citations. REVIEW CITATIONS