ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming

Understand

Recent empirical studies show that the performance of GenProg is not satisfactory, particularly for Java.

• In this paper, we propose ARJA, a new GP based repair approach for automated repair of Java programs.
• To be specific, we present a novel lower-granularity patch representation that properly decouples the search subspaces of likely-buggy locations, operation types and potential fix ingredients, enabling GP to explore the search space more effectively.
• Based on this new representation, we formulate automated program repair as a multi-objective search problem and use NSGA-II to look for simpler repairs.