T
Tsong Yueh Chen
Researcher at Swinburne University of Technology
Publications - 356
Citations - 11643
Tsong Yueh Chen is an academic researcher from Swinburne University of Technology. The author has contributed to research in topics: Test case & Random testing. The author has an hindex of 51, co-authored 346 publications receiving 10209 citations. Previous affiliations of Tsong Yueh Chen include University of Hong Kong & University of Melbourne.
Papers
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Journal ArticleDOI
An orchestrated survey of methodologies for automated software test case generation
Saswat Anand,Edmund K. Burke,Tsong Yueh Chen,John A. Clark,Myra B. Cohen,Wolfgang Grieskamp,Mark Harman,Mary Jean Harrold,Phil McMinn +8 more
TL;DR: An orchestrated survey of the most prominent techniques for automatic generation of software test cases, reviewed in self-standing sections, aimed at giving an introductory, up-to-date and (relatively) short overview of research in automatic test case generation.
Journal ArticleDOI
Metamorphic Testing: A Review of Challenges and Opportunities
TL;DR: The current research of metamorphic testing is reviewed and the challenges yet to be addressed are discussed, and visions for further improvement are presented and opportunities for new research are highlighted.
Book ChapterDOI
Adaptive random testing
TL;DR: Results show that adaptive random testing does outperform ordinary random testing significantly (by up to as much as 50%) for the set of programs under study, providing evidences that the intuition is likely to be useful in improving the effectiveness of random testing.
Posted Content
Metamorphic Testing: A New Approach for Generating Next Test Cases.
TL;DR: A novel test case selection technique is proposed that derives new test cases from the successful ones and helps uncover software errors in the production phase and can be used in the absence of test oracles.
Journal ArticleDOI
Adaptive Random Testing: The ART of test case diversity
TL;DR: A synthesis of the most important research results related to Adaptive Random Testing (ART) is presented, particularly note the fundamental role of diversity in test case selection strategies.