
Spectrum-based Fault Localization Techniques Application on Multiple-Fault Programs: A Review
Author(s) -
Abubakar Zakari,
Shamsu Abdullahi,
Nura Modi Shagari,
Abubakar Bello Tambawal,
Nuruddeen Musa Shao,
Jaafar Zubairu Maitama,
Rasheed Abubakar Rasheed,
Abubakar Adamu,
Salish Mamman Abdulrahman
Publication year - 2020
Publication title -
global journal of computer science and technology
Language(s) - English
Resource type - Journals
ISSN - 0975-4172
DOI - 10.34257/gjcstgvol20is2pg41
Subject(s) - debugging , computer science , software bug , fault (geology) , software , fault detection and isolation , software fault tolerance , field (mathematics) , algorithmic program debugging , embedded system , software engineering , programming language , real time computing , artificial intelligence , mathematics , seismology , pure mathematics , actuator , geology
Software fault localization is one of the most tedious and costly activities in program debugging in the endeavor to identify faults locations in a software program. In this paper, the studies that used spectrum-based fault localization (SBFL) techniques that makes use of different multiple fault localization debugging methods such as one-bug-at-a-time (OBA) debugging, parallel debugging, and simultaneous debugging in localizing multiple faults are classified and critically analyzed in order to extensively discuss the current research trends, issues, and challenges in this field of study. The outcome strongly shows that there is a high utilization of OBA debugging method, poor fault isolation accuracy, and dominant use of artificial faults that limit the existing techniques applicability in the software industry.