Automatic Program Repair
Journal article, 2021

This article from the issue of f IEEE Software reports on papers about automatic program repair (APR) from the 35th IEEE/ACM International Conference on Automated Soft ware Engineering (ASE20), the 35th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW20), and the 13th IEEE International Conference on Software Testing, Validation and Verification (ICST20). ‘Antipatterns for Java Automated Program Repair Tools’ by Yi Wu analyzes plausible patches, that is, patches that produce correct outputs for all inputs in the test suite but may fail beyond the test suite, for Java code generated by automated repair tools such as SimFix, CapGen, and LSRepair to identify deficiencies in these patches. ‘Automated Patch Correctness Assessment: How Far are We?’ by Shangwen Wang and colleagues presents the results of an empirical study on the effectiveness of automated patch correctness assessment techniques, including both static and dynamic approaches.

Java programming language

Automatic test pattern generation

Automation

Verification

Author

Jeffrey C. Carver

University of Alabama

Ricardo Colomo-Palacios

Östfold University College

Xabier Larrucea

Tecnalia

Miroslaw Staron

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)

University of Gothenburg

IEEE Software

0740-7459 (ISSN) 19374194 (eISSN)

Vol. 38 4 122-124 9462245

Subject Categories (SSIF 2025)

Software Engineering

Computer Sciences

DOI

10.1109/MS.2021.3071567

More information

Latest update

11/17/2025