A software package evolves in time through various maintenance release steps whose effectiveness depends mainly on the number of faults left in the modules. The testing phase is therefore critical to discover these faults. The purpose of this paper is to show a criterion to estimate an optimal repartition of available testing time among software modules in a maintenance release. In order to achieve this objective we have used fault prediction techniques based both on classical complexity metrics and an additional, innovative factor related to the module’s age in terms of release. This method can actually diminish corrective maintenance effort, while assuring a high reliability for the delivered software.
Reducing Corrective Maintenance Effort Considering Module s History
PIGHIN, Maurizio;
2005-01-01
Abstract
A software package evolves in time through various maintenance release steps whose effectiveness depends mainly on the number of faults left in the modules. The testing phase is therefore critical to discover these faults. The purpose of this paper is to show a criterion to estimate an optimal repartition of available testing time among software modules in a maintenance release. In order to achieve this objective we have used fault prediction techniques based both on classical complexity metrics and an additional, innovative factor related to the module’s age in terms of release. This method can actually diminish corrective maintenance effort, while assuring a high reliability for the delivered software.| File | Dimensione | Formato | |
|---|---|---|---|
|
7-2005-CSMR.pdf
non disponibili
Tipologia:
Altro materiale allegato
Licenza:
Non pubblico
Dimensione
4.54 MB
Formato
Adobe PDF
|
4.54 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
