Spectrum-based Fault Localization Techniques Application on Multiple-Fault Programs: A Review
نویسندگان
چکیده
منابع مشابه
Metamorphic slice: An application in spectrum-based fault localization
a Faculty of Information and Communication Technologies, Swinburne University of Technology, Hawthorn, VIC 3122, Australia Department of Computer Science, University of Texas at Dallas, Richardson, TX 75083, United States c School of Computer Science and Engineering, Southeast University, Nanjing 210096, China d State Key Laboratory for Novel Software Technology & Department of Computer Science...
متن کاملSpectrum-Based Fault Localization without Test Oracles
Spectrum-Based Fault Localization (SBFL) is one of the most promising approaches towards fault localization, and has received a lot of attention due to its simplicity and effectiveness. It utilizes various program spectra and the associated testing result of each individual test case, namely failed or passed, to evaluate the risk of containing a fault for each program entity with different stat...
متن کاملProgram slicing spectrum-based software fault localization
Spectrum-based fault localization technique mainly utilizes testing coverage information to calculate the suspiciousness of each program element to find the faulty element. However, this technique does not fully take consideration of dependences between program elements , thus its capacity for efficient fault localization is limited. This paper combines program slicing with program spectrum tec...
متن کاملSpectrum-based Fault Localization in Embedded Software
Spectrum-based fault localization (SFL) shortens the test-diagnose-repair cycle by reducing the debugging effort. As a light-weight automated diagnosis technique it can easily be integrated with existing testing schemes. Since SFL is based on discovering statistical coincidences between system failures and the activity of the different parts of a system, its diagnostic accuracy is inherently li...
متن کاملA Review of Application of Signal Processing Techniques for Fault Diagnosis of Induction Motors – Part I
Abstract - Use of efficient signal processing tools (SPTs) to extract proper indices for fault detection in induction motors (IMs) is the essential part of any fault recognition procedure. The Part1 of the two parts paper focuses on Fourier-based techniques including fast Fourier transform and short time Fourier transform. In this paper, all utilized SPTs which have been employed for fault fete...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Global Journal of Computer Science and Technology
سال: 2020
ISSN: 0975-4172,0975-4350
DOI: 10.34257/gjcstgvol20is2pg41