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Abstract : More and more companies would like to mine software data with the goal of assessing the health of their software projects. The hope is that some software metrics could be tracked to predict failure risks or confirm good health. If a factor of success was found, projects failures could be anticipated and early actions could be taken by the organisation to help or to monitor closely the project. Allowing to act in a preventive mode rather than a curative one. We were called by a major IT company to fulfil this goal. We conducted a study to check whether software metrics can be related to project failure. The study was both theoretic with a review of literature on the subject and practical with mining of past projects data and interview with project managers. We found that metrics used in practice are not useful to assess project outcome.
https://hal.inria.fr/hal-01205468 Contributor : Lse LseConnect in order to contact the contributor Submitted on : Friday, September 25, 2015 - 3:12:10 PM Last modification on : Wednesday, March 23, 2022 - 3:51:21 PM Long-term archiving on: : Tuesday, December 29, 2015 - 10:03:32 AM
Vincent Blondeau, Sylvain Cresson, Pascal Croisy, Anne Etien, Nicolas Anquetil, et al.. Predicting the health of a project? An assessment in a major IT company. SATToSE'15, Jul 2015, Mons, Belgium. ⟨hal-01205468⟩