Predicting the health of a project? An ...
Type de document :
Communication dans un congrès avec actes
Titre :
Predicting the health of a project? An assessment in a major IT company
Auteur(s) :
Blondeau, Vincent [Auteur]
Atos Worldline
Analyses and Languages Constructs for Object-Oriented Application Evolution [RMOD]
Cresson, Sylvain [Auteur]
Atos Worldline
Croisy, Pascal [Auteur]
Atos Worldline
Etien, Anne [Auteur]
Analyses and Languages Constructs for Object-Oriented Application Evolution [RMOD]
Anquetil, Nicolas [Auteur]
Analyses and Languages Constructs for Object-Oriented Application Evolution [RMOD]
Ducasse, Stephane [Auteur]
Analyses and Languages Constructs for Object-Oriented Application Evolution [RMOD]
Atos Worldline
Analyses and Languages Constructs for Object-Oriented Application Evolution [RMOD]
Cresson, Sylvain [Auteur]
Atos Worldline
Croisy, Pascal [Auteur]
Atos Worldline
Etien, Anne [Auteur]

Analyses and Languages Constructs for Object-Oriented Application Evolution [RMOD]
Anquetil, Nicolas [Auteur]

Analyses and Languages Constructs for Object-Oriented Application Evolution [RMOD]
Ducasse, Stephane [Auteur]

Analyses and Languages Constructs for Object-Oriented Application Evolution [RMOD]
Titre de la manifestation scientifique :
SATToSE'15
Ville :
Mons
Pays :
Belgique
Date de début de la manifestation scientifique :
2015-07-06
Discipline(s) HAL :
Informatique [cs]/Génie logiciel [cs.SE]
Informatique [cs]
Informatique [cs]
Résumé en anglais : [en]
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 ...
Lire la suite >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.Lire moins >
Lire la suite >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.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
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