Identifying metamorphic relations: A data mutation directed approach
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Identifying metamorphic relations: A data mutation directed approach
Authors
Keywords
-
Journal
SOFTWARE-PRACTICE & EXPERIENCE
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2023-10-18
DOI
10.1002/spe.3280
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Discovering boundary values of feature-based machine learning classifiers through exploratory datamorphic testing
- (2022) Hong Zhu et al. JOURNAL OF SYSTEMS AND SOFTWARE
- Path-directed source test case generation and prioritization in metamorphic testing
- (2021) Chang-ai Sun et al. JOURNAL OF SYSTEMS AND SOFTWARE
- MeMo: Automatically identifying metamorphic relations in Javadoc comments for test automation
- (2021) Arianna Blasi et al. JOURNAL OF SYSTEMS AND SOFTWARE
- Tabular-expression-based method for constructing metamorphic relations
- (2020) Jingyao Li et al. SOFTWARE-PRACTICE & EXPERIENCE
- Theoretical and Empirical Analyses of the Effectiveness of Metamorphic Relation Composition
- (2020) Kun Qiu et al. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
- Metamorphic testing of driverless cars
- (2019) Zhi Quan Zhou et al. COMMUNICATIONS OF THE ACM
- Metamorphic Testing
- (2018) Tsong Yueh Chen et al. ACM COMPUTING SURVEYS
- Automated inference of likely metamorphic relations for model transformations
- (2018) Javier Troya et al. JOURNAL OF SYSTEMS AND SOFTWARE
- Metamorphic Relations for Enhancing System Understanding and Use
- (2018) Zhi Quan Zhou et al. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
- Metamorphic Testing for Cybersecurity
- (2016) Tsong Yueh Chen et al. COMPUTER
- Metamorphic Testing for Software Quality Assessment: A Study of Search Engines
- (2016) Zhi Quan Zhou et al. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
- METRIC: METamorphic Relation Identification based on the Category-choice framework
- (2016) Tsong Yueh Chen et al. JOURNAL OF SYSTEMS AND SOFTWARE
- The Oracle Problem in Software Testing: A Survey
- (2015) Earl T. Barr et al. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
- Predicting metamorphic relations for testing scientific software: a machine learning approach using graph kernels
- (2015) Upulee Kanewala et al. SOFTWARE TESTING VERIFICATION & RELIABILITY
- Code Coverage of Adaptive Random Testing
- (2013) Tsong Yueh Chen et al. IEEE TRANSACTIONS ON RELIABILITY
- How Effectively Does Metamorphic Testing Alleviate the Oracle Problem?
- (2013) Huai Liu et al. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
- A Metamorphic Relation-Based Approach to Testing Web Services Without Oracles
- (2012) Chang-ai Sun et al. International Journal of Web Services Research
- Oracles for Distributed Testing
- (2011) Robert M. Hierons IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
- Testing and validating machine learning classifiers by metamorphic testing
- (2010) Xiaoyuan Xie et al. JOURNAL OF SYSTEMS AND SOFTWARE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now