review-article

Software fault localisation: : a systematic mapping study

Authors:

Abubakar Zakari,

Khubaib Amjad Alam,

Rodina AhmadAuthors Info & Claims

IET Software, Volume 13, Issue 1

Pages 60 - 74

https://doi.org/10.1049/iet-sen.2018.5137

Published: 01 February 2019 Publication History

Abstract

Software fault localisation (SFL) is recognised to be one of the most tedious, costly, and critical activities in program debugging. Due to the increase in software complexity, there is a huge interest in advanced SFL techniques that aid software engineers in locating program bugs. This interest paves a way to the existence of a large amount of literature in the SFL research domain. This study aims to investigate the overall research productivity, demographics, and trends shaping the landscape of SFL research domain. The research also aims to classify existing fault localisation techniques and identify trends in the field of study. Accordingly, a systematic mapping study of 273 primary selected studies is conducted with the adoption of an evidence‐based systematic methodology to ensure coverage of all relevant studies. The results of this systematic mapping study show that SFL research domain is gaining more attention since 2010, with an increasing number of publications per year. Three main research facets were identified, i.e. validation research, evaluation research, and solution research, with solution research type getting more attention. Hence, various contribution facets were identified as well. In totality, general demographics of SFL research domain were highlighted and discussed.

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cover image IET Software

IET Software Volume 13, Issue 1

February 2019

95 pages

EISSN:1751-8814

DOI:10.1049/sfw2.v13.1

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© 2019 The Institution of Engineering and Technology.

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Published: 01 February 2019

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Wang DGalster MMorales-Trujillo M(2024)A systematic mapping study of bug reproduction and localizationInformation and Software Technology10.1016/j.infsof.2023.107338165:COnline publication date: 1-Jan-2024
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Marinho EFerreira FDiniz JFigueiredo E(2023)Applying Spectrum-Based Fault Localization to Android ApplicationsProceedings of the XXXVII Brazilian Symposium on Software Engineering10.1145/3613372.3613397(257-266)Online publication date: 25-Sep-2023
https://dl.acm.org/doi/10.1145/3613372.3613397
Zakeri-Nasrabadi MParsa SRamezani MRoy CEkhtiarzadeh M(2023)A systematic literature review on source code similarity measurement and clone detectionJournal of Systems and Software10.1016/j.jss.2023.111796204:COnline publication date: 20-Sep-2023
https://dl.acm.org/doi/10.1016/j.jss.2023.111796
Archana Agarwal A(2022)Evaluation of spectrum based fault localization toolsProceedings of the 15th Innovations in Software Engineering Conference10.1145/3511430.3511470(1-5)Online publication date: 24-Feb-2022
https://dl.acm.org/doi/10.1145/3511430.3511470

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