Fault Localization Techniques for Software Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (15 February 2024) | Viewed by 2050
Special Issue Editor
Interests: software engineering; software test; verification and reliability
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Detecting faults in software is known as fault localization. Modern software is larger and more complex than ever before, and is a major component of any computer system. Whenever software testing execution fails, its test scripts are analyzed so that the point where a fault occurred can be detected and the expected result can be achieved.
There is a strong demand for techniques that can guide software developers to the locations of faults in a program with minimal human intervention. Therefore, researchers are invited to submit their research on this topic to this Special Issue. Potential topics may include, but are not limited to:
- Strategies for effective and efficient program debugging, fault localization, and repair;
- Defect prediction;
- Debugging and repair of multi-{core, process, or threaded};
- Integrating debugging and repair with other software development and maintenance activities;
- Empirical studies, benchmarking, and industrial best practices;
- Applications and tools;
- Visualizations for fault localization;
- Deep learning-based fault localization;
- Artificial Intelligence techniques and fault localization;
- Debugging pervasive, ubiquitous, service-oriented, cloud computing collaborative, distributed, embedded, real-time, high-performance, highly dependable, and intelligent multimedia systems.
Prof. Dr. Byoungju Choi
Guest Editor
Manuscript Submission Information
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Keywords
- strategies for effective and efficient program debugging, fault localization, and repair
- defect prediction
- debugging and repair of multi-{core, process, or threaded}
- integrating debugging and repair with other software development and maintenance activities
- empirical studies, benchmarking, and industrial best practices
- applications and tools
- visualizations for fault localization
- deep learning-based fault localization
- Artificial Intelligence techniques and fault localization
- debugging pervasive, ubiquitous, service-oriented, cloud computing collaborative, distributed, embedded, real-time, high-performance, highly dependable, and intelligent multimedia systems
