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ARTICLE

Bench4BL: reproducibility study on the performance of IR-based bug localization

  • Journal non spécifié : 61-72
Discipline : Informatique et sciences de l'information
Auteur(s) :
Renseignée par : BISSYANDE T. François D'Assise

Résumé

In recent years, the use of Information Retrieval (IR) techniques to automate the localization of buggy files, given a bug report, has shown promising results. The abundance of approaches in the literature, however, contrasts with the reality of IR-based bug localization (IRBL) adoption by developers (or even by the research community to complement other research approaches). Presumably, this situation is due to the lack of comprehensive evaluations for state-of-the-art approaches which offer insights into the actual performance of the techniques.

Mots-clés

Computer science, Complement (music), Data science, Software bug, Information retrieval, State (computer science), Software engineering, Artificial intelligence, Data mining, Software, Programming language

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