Hybrid genetic algorithm for improving fault localization

• 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
• Institution: Universiti Putra Malaysia

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...