A Fault Localization and Debugging Support Framework driven by Bug Tracking Data

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Abstract

Fault localization has been determined as a major resource factor in the software development life cycle. Academic fault localization techniques are mostly unknown and unused in professional environments. Although manual debugging approaches can vary significantly depending on bug type (e.g. memory bugs or semantic bugs), these differences are not reflected in most existing fault localization tools. Little research has gone into automated identification of bug types to optimize the fault localization process. Further, existing fault localization techniques leverage on historical data only for augmentation of suspiciousness rankings. This thesis aims to provide a fault localization framework by combining data from various sources to help developers in the fault localization process. To achieve this, a bug classification schema is introduced, benchmarks are created, and a novel fault localization method based on historical data is proposed.
Originalspracheenglisch
TitelProceedings - 2020 IEEE 31st International Symposium on Software Reliability Engineering Workshops, ISSREW 2020
Redakteure/-innenMarco Vieira, Henrique Madeira, Nuno Antunes, Zheng Zheng
Herausgeber (Verlag)IEEE Computer Society Conference Publishing Services
Seiten139-142
Seitenumfang4
ISBN (elektronisch)9781728198705
DOIs
PublikationsstatusVeröffentlicht - Jan 2021
Veranstaltung31st International Symposium on Software Reliability Engineering: 2020 ISSRE - Virtual, Coimbra, Portugal
Dauer: 12 Okt 202012 Okt 2020
http://2020.issre.net/

Konferenz

Konferenz31st International Symposium on Software Reliability Engineering
KurztitelISSREW 2020
LandPortugal
OrtVirtual, Coimbra
Zeitraum12/10/2012/10/20
Internetadresse

ASJC Scopus subject areas

  • Software
  • !!Safety, Risk, Reliability and Quality

Fields of Expertise

  • Information, Communication & Computing

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