The complexity of data flow criteria for test data selection
Information Processing Letters
Data flow analysis techniques for test data selection
ICSE '82 Proceedings of the 6th international conference on Software engineering
Improving test suites for efficient fault localization
Proceedings of the 28th international conference on Software engineering
Using Mutation Analysis for Assessing and Comparing Testing Coverage Criteria
IEEE Transactions on Software Engineering
Methodology for the Generation of Program Test Data
IEEE Transactions on Computers
Theories of Program Testing and the Application of Revealing Subdomains
IEEE Transactions on Software Engineering
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In recent years, coincidental correctness attracts many interests in testing area. Studies prove that it can adversely affect the effectiveness of testing. But current test adequacy criteria don't consider the effect of coincidental correctness. To address the problem, we design an approach to calculate the probability that an error in a given statement of the program under test is hidden by coincidental correctness. Such probability is used to measure the test adequacy on the statement. The test adequacy of a test suit is computed based on the adequacy on all the statement. A mutation analysis on five C programs is designed to compare the effectiveness of our adequacy criterion. The experimental results consistently approve our conjecture that such a test approach effectively quantizes the ability of test suite to find errors.