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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.
Original language | English |
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Title of host publication | Proceedings - 2020 IEEE 31st International Symposium on Software Reliability Engineering Workshops, ISSREW 2020 |
Editors | Marco Vieira, Henrique Madeira, Nuno Antunes, Zheng Zheng |
Publisher | IEEE Computer Society |
Pages | 139-142 |
Number of pages | 4 |
ISBN (Electronic) | 9781728198705 |
DOIs | |
Publication status | Published - Jan 2021 |
Event | 31st International Symposium on Software Reliability Engineering: 2020 ISSRE - Virtual, Coimbra, Portugal Duration: 12 Oct 2020 → 12 Oct 2020 http://2020.issre.net/ |
Conference
Conference | 31st International Symposium on Software Reliability Engineering |
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Abbreviated title | ISSRE 2020 |
Country/Territory | Portugal |
City | Virtual, Coimbra |
Period | 12/10/20 → 12/10/20 |
Internet address |
Keywords
- debugging
- fault taxonomy
- bug data mining
- fault localization
ASJC Scopus subject areas
- Software
- Safety, Risk, Reliability and Quality
Fields of Expertise
- Information, Communication & Computing
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- 1 Finished
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FWF - AMADEUS - Automated Debugging in Use
Hofer, B. G. (Co-Investigator (CoI))
1/01/20 → 30/04/24
Project: Research project