Software metrics to predict the health of a project ?

Blondeau, Vincent; Anquetil, Nicolas; Ducasse, Stephane; Cresson, Sylvain; Croisy, Pascal

An assessment in a major IT company

Document type :

Communication dans un congrès avec actes

DOI :

10.1145/2811237.2811294

Title :

Software metrics to predict the health of a project ?
An assessment in a major IT company

Author(s) :

Blondeau, Vincent [Auteur]
Atos Worldline
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]
Cresson, Sylvain [Auteur]
Atos Worldline
Croisy, Pascal [Auteur]
Atos Worldline

Conference title :

IWST '15 International Workshop On Smalltalk Technologies

City :

Brescia

Country :

Italie

Start date of the conference :

2015-07-15

Book title :

Proceedings of the International Workshop on Smalltalk Technologies

Publisher :

ACM

Publication date :

2015

English keyword(s) :

Project health
Closed-source
Data-mining
Interviews

HAL domain(s) :

Informatique [cs]/Langage de programmation [cs.PL]

English abstract : [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 ...
Show more >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 one 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 past projects data and interviews with project managers. We found that metrics used in practice are not reliable to assess project outcome.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

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