Debugging with the Crowd: a Debug Recommendation System based on Stackoverflow

Monperrus, Martin; Maia, Anthony

Type de document :

Rapport de recherche

Titre :

Debugging with the Crowd: a Debug Recommendation System based on Stackoverflow

Auteur(s) :

Monperrus, Martin [Auteur]

Université de Lille, Sciences et Technologies
Self-adaptation for distributed services and large software systems [SPIRALS]
Maia, Anthony [Auteur]
Université de Lille, Sciences et Technologies

Institution :

Université Lille 1 - Sciences et Technologies

Date de publication :

2014

Discipline(s) HAL :

Informatique [cs]/Génie logiciel [cs.SE]

Résumé en anglais : [en]

Debugging is a resource-consuming activity of software development. Some bugs are deeply rooted in the domain logic but others are independent of the specificity of the application being debugged. The latter are "crowd-bugs": ...
Lire la suite >Debugging is a resource-consuming activity of software development. Some bugs are deeply rooted in the domain logic but others are independent of the specificity of the application being debugged. The latter are "crowd-bugs": unexpected and incorrect output or behavior resulting from a common and intuitive usage of an API. On the contrary, project-specific bugs are related to the misunderstanding or incorrect implementation of domain concepts or logics. We propose a debugging approach for crowd bugs, that is based on matching the piece of code being debugged against related pieces of code on a Q&A website (Stackoverflow). Based on the empirical study of Stackoverflow's data, we show that this approach can help developers to fix crowd bugs.Lire moins >

Langue :

Anglais

Collections :