Titre :

An Experimental Protocol for Analyzing the Accuracy of Software Error Impact Analysis

Auteur(s) :

Musco, Vincenzo [Auteur]
Sequential Learning [SEQUEL]
Monperrus, Martin [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]
Preux, Philippe [Auteur]
Sequential Learning [SEQUEL]

Titre de la manifestation scientifique :

Tenth IEEE/ACM International Workshop on Automation of Software Test

Ville :

Florence

Pays :

Italie

Date de début de la manifestation scientifique :

2015-05-23

Discipline(s) HAL :

Informatique [cs]
Informatique [cs]/Génie logiciel [cs.SE]
Informatique [cs]/Recherche d'information [cs.IR]

Résumé en anglais : [en]

In software engineering, error impact analysis consists in predicting the software elements (e.g. modules, classes, methods) potentially impacted by a change. Impact analysis is required to optimize the testing effort. In ...
Lire la suite >In software engineering, error impact analysis consists in predicting the software elements (e.g. modules, classes, methods) potentially impacted by a change. Impact analysis is required to optimize the testing effort. In this paper we present a new protocol to analyze the accuracy of impact analysis. This protocol uses mutation testing to simulate changes that introduce errors. To this end, we introduce a variant of call graphs we name the "use graph" of a software which may be computed efficiently. We apply this protocol to two open-source projects and correctly predict the impact of 30% to 49% of changes.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

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

Source :

Harvested from HAL