Predicting the health of a project? An assessment in a major IT company

Vincent Blondeau (1, 2) , Sylvain Cresson (2) , Pascal Croisy (2) , Anne Etien (1) , Nicolas Anquetil (1) , Stéphane Ducasse (1)

1 RMOD - Analyses and Languages Constructs for Object-Oriented Application Evolution
2 Atos Worldline

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.

Domaines: Génie logiciel [cs.SE]; Informatique [cs]

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⟩