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...
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 |
Similar Items
-
A decision cloud ranking approach based on privacy and security in blockchain E-Health Industry 4.0 systems
by: Qahtan, Sarah, et al.
Published: (2023) -
A Decision Cloud Ranking Approach Based on Privacy and Security in Blockchain E-Health Industry 4.0 Systems
by: Sarah Qahtan, et al.
Published: (2023-12-01) -
Evaluation of software quality attributes for Vessel Tracking Management System (VTMS)
by: Zulzalil, Hazura, et al.
Published: (2015) -
Evaluation of software quality attributes for vessel tracking management system (VTMS)
by: Zulzalil, Hazura, et al.
Published: (2015) -
Exploring key factors of pilot projects in agile transformation process using a grounded theory study
by: Gandomani, Taghi Javdani, et al.
Published: (2013)