Fault Detection Effectiveness of Source Test Case Generation Strategies for Metamorphic Testing
February 20, 2018 Β· Declared Dead Β· π International Workshop on Metamorphic Testing
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Authors
Prashanta Saha, Upulee Kanewala
arXiv ID
1802.07361
Category
cs.SE: Software Engineering
Citations
16
Venue
International Workshop on Metamorphic Testing
Last Checked
4 months ago
Abstract
Metamorphic testing is a well known approach to tackle the oracle problem in software testing. This technique requires the use of source test cases that serve as seeds for the generation of follow-up test cases. Systematic design of test cases is crucial for the test quality. Thus, source test case generation strategy can make a big impact on the fault detection effectiveness of metamorphic testing. Most of the previous studies on metamorphic testing have used either random test data or existing test cases as source test cases. There has been limited research done on systematic source test case generation for metamorphic testing. This paper provides a comprehensive evaluation on the impact of source test case generation techniques on the fault finding effectiveness of metamorphic testing. We evaluated the effectiveness of line coverage, branch coverage, weak mutation and random test generation strategies for source test case generation. The experiments are conducted with 77 methods from 4 open source code repositories. Our results show that by systematically creating source test cases, we can significantly increase the fault finding effectiveness of metamorphic testing. Further, in this paper we introduce a simple metamorphic testing tool called "METtester" that we use to conduct metamorphic testing on these methods.
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