Automatic Bug Fixing using Particle Swarm Optimization

In software development, debugging requires a lot of human resources. A breakthrough in the research of automatic bug fixing was made by GenProg, which uses genetic programming for fixing bugs. This study proposes automatic bug fixing by optimization methods that are computationally less expensive than genetic programming. As the evaluation experiments, buggy programs to find leap years was fixed with PSO and random. As a result, it was confirmed that PSO can modify the program faster than random.

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Publication Details

Journal
IEEJ Transactions on Electronics Information and Systems
Published
2025-08-31
DOI
https://doi.org/10.1541/ieejeiss.145.851
Primary Topic
Real-time simulation and control systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Automatic Bug Fixing using Particle Swarm Optimization

Yasuhiko Tabata, Kiyohiko Abe
IEEJ Transactions on Electronics Information and Systems
Real-time simulation and control systems
article

Automatic Bug Fixing using Particle Swarm Optimization

Yasuhiko Tabata, Kiyohiko Abe
article en

Abstract

In software development, debugging requires a lot of human resources. A breakthrough in the research of automatic bug fixing was made by GenProg, which uses genetic programming for fixing bugs. This study proposes automatic bug fixing by optimization methods that are computationally less expensive than genetic programming. As the evaluation experiments, buggy programs to find leap years was fixed with PSO and random. As a result, it was confirmed that PSO can modify the program faster than random.

IEEJ Transactions on Electronics Information and SystemsVol. 145(9)
Tokyo Denki University (JP)
Openalex Percentile: Top 72%
Real-time simulation and control systems
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