Metamorphic Relation Generation: State of the Art and Research Directions
Metamorphic testing has become one mainstream technique to address the notorious oracle problem in software testing, thanks to its great successes in revealing real-life bugs in a wide variety of software systems. Metamorphic relations, the core component of metamorphic testing, have continuously attracted research interests from both academia and industry. In the last decade, a rapidly increasing number of studies have been conducted to systematically generate metamorphic relations from various sources and for different application domains. In this article, based on the systematic review on the state of the art for metamorphic relations’ generation, we summarize and highlight visions for further advancing the theory and techniques for identifying and constructing metamorphic relations and discuss promising research directions in related areas.
Authors
- Huai Liu
- Tsong Yueh Chen (ORCID: https://orcid.org/0000-0003-3578-0994)
- Chang‐ai Sun (ORCID: https://orcid.org/0000-0003-3696-6176)
- Dave Towey (ORCID: https://orcid.org/0000-0003-0877-4353)
- Pak‐Lok Poon (ORCID: https://orcid.org/0000-0003-2840-2418)
- Zhi Quan Zhou (ORCID: https://orcid.org/0000-0003-1769-9367)
- Rui Li (ORCID: https://orcid.org/0000-0002-7669-4112)
- Zheng Zheng (ORCID: https://orcid.org/0000-0001-7922-9067)
Institutions
- University of Nottingham Ningbo China (CN)
- Deakin University (AU)
- University of Wollongong (AU)
- Swinburne University of Technology (AU)
- Central Queensland University (AU)
- Beihang University (CN)
- University of Science and Technology Beijing (CN)
Publication Details
- Journal
- ACM Transactions on Software Engineering and Methodology
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1145/3708521
- Citations
- 6
- Primary Topic
- Model-Driven Software Engineering Techniques
- Type
- article
- Field-Weighted Citation Impact
- 2.91
Funders
- National Natural Science Foundation of China