Hybrid genetic algorithm for improving fault localization

Hybrid genetic algorithm for improving fault localization

Finding faults in a program correctly is crucial in software maintenance. In this light, many techniques have been proposed such as program slicing, code coverage, program state and mutation analysis. While all these techniques give us good insight on fault localization, but it appears that these te...

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Bibliographic Details
Main Authors: Mahamad Zakaria, Muhammad Luqman, Sharif, Khaironi Yatim, Abd Ghani, Abdul Azim, Koh, Tieng Wei, Zulzalil, Hazura
Format: Article
Language:English
Published: American Scientific Publishers 2018
Online Access:http://psasir.upm.edu.my/id/eprint/64692/1/Hybrid%20genetic%20algorithm%20for%20improving%20fault%20localization.pdf
http://psasir.upm.edu.my/id/eprint/64692/
https://www.ingentaconnect.com/contentone/asp/asl/2018/00000024/00000003/art00012
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Institution: Universiti Putra Malaysia
Language: English

Internet

http://psasir.upm.edu.my/id/eprint/64692/1/Hybrid%20genetic%20algorithm%20for%20improving%20fault%20localization.pdf
http://psasir.upm.edu.my/id/eprint/64692/
https://www.ingentaconnect.com/contentone/asp/asl/2018/00000024/00000003/art00012

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