Dr. Patanamon Thongtanunam
Lecturer
Computing and Information Systems
14 Scholarly works
2 Projects
HIGHLIGHTS
2021
Research Grant
Data-Driven Code Reviews for Cost-Effective Software Quality Assurance
2021
Internal Research Grant
Data-Driven Code Reviews for Cost-Effective Software Quality Assurance
2020
Conference Proceedings
Workload-aware reviewer recommendation using a multi-objective search-based approach
DOI: 10.1145/3416508.34171152020
Journal article
Predicting Defective Lines Using a Model-Agnostic Technique
DOI: 10.1109/TSE.2020.30231772019
Conference Proceedings
Mining Software Defects: Should We Consider Affected Releases?
DOI: 10.1109/icse.2019.000752019
Conference Proceedings
Automatically Generating Documentation for Lambda Expressions in Java
DOI: 10.1109/msr.2019.000572019
Journal article
Will this clone be short-lived? Towards a better understanding of the characteristics of short-lived clones
DOI: 10.1007/s10664-018-9645-2
RECENT SCHOLARLY WORKS
2019
Journal article
The impact of human factors on the participation decision of reviewers in modern code review
DOI: 10.1007/s10664-018-9646-12017
Journal article
Review participation in modern code review: An empirical study of the android, Qt, and OpenStack projects
DOI: 10.1007/s10664-016-9452-62016
Conference Proceedings
Revisiting code ownership and its relationship with software quality in the scope of modern code review
DOI: 10.1145/2884781.28848522015
Conference Proceedings
Investigating code review practices in defective files: An empirical study of the Qt system
DOI: 10.1109/MSR.2015.232015
Conference Proceedings
Who should review my code? A file location-based code-reviewer recommendation approach for Modern Code Review
DOI: 10.1109/SANER.2015.70818242014
Conference Proceedings
Improving code review effectiveness through reviewer recommendations
DOI: 10.1145/2593702.25937052014
Conference Proceedings
Assessing MCR discussion usefulness using semantic similarity
DOI: 10.1109/IWESEP.2014.112014
Conference Proceedings
REDA: A web-based visualization tool for analyzing modern code review dataset
DOI: 10.1109/ICSME.2014.106