Autorepairability: A New Software Quality Characteristic

Lapvikai, Pongpop; Ragkhitwetsagul, Chaiyong; Choetkiertikul, Morakot et al.

Proceedings - 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2024, 2024, 787-791

Number of Access:337（2025-09-03 07:57 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/98114

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Title
Autorepairability: A New Software Quality Characteristic
Creator
CreatorName
Lapvikai, Pongpop
CreatorName
Ragkhitwetsagul, Chaiyong
CreatorName
Choetkiertikul, Morakot
NRID
1000070452414 1000070452414
ORCID
0000-0002-8278-8975 0000-0002-8278-8975
researchmap permalink
yoshiki.higo yoshiki.higo
Scopus Author ID
7004831134 7004831134
CreatorName
Higo, Yoshiki
Subject
Automated Program Repair
Metrics Measurement
Program Analysis
Software Quality Model
Description
Lapvikai P., Ragkhitwetsagul C., Choetkiertikul M., et al. Autorepairability: A New Software Quality Characteristic. Proceedings - 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2024 , 787 (2024); https://doi.org/10.1109/SANER60148.2024.00085.
Abstract
Currently, research on automated program repair (in short, APR) is actively being conducted. APR techniques have been applied to many bugs in open-source software, but the probability of a successful fix is not very high. The authors consider that not only should APR techniques be developed, but software systems should be developed so that bugs can be easily fixed with APR techniques. In this paper, we propose autorepairability, a new characteristic of software quality, that shows how effective automated program repair techniques are for a specific code fragment, file, or project. We also show an approach to automatically measure autorepairability from the source code of a target project, and present experimental results on 1,282 Java method pairs. The use of autorepairability allows many studies to be conducted. For example, research on the development process for developing software systems with high autorepairability and research on refactoring, which transforms software with low autorepairability into software systems with high autorepairability, will be possible.
Conference Information
Conference Name
IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
Conference Sequence
2024
Conference Sponsor
IEEE
Conference Date
March 12th to March 15th, 2024
Conference Venue
Santa’s Hotel Santa Claus
Conference Place
Rovaniemi
Conference Country
Finland
Publisher
Institute of Electrical and Electronics Engineers Inc.
Source Title
Proceedings - 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2024
Page
787-791
Date of Issued
2024-07-16
Language
English
Handle URL
https://hdl.handle.net/11094/98114
PISSN
15345351
eISSN
26407574
Relation.isVersionOf
DOI (Publisher Version)
https://doi.org/10.1109/SANER60148.2024.00085
Access Rights
open access
CopyRight
© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
oaire:version
Accepted Manuscript
Category
会議発表論文 Conference Paper