Adaptive Test Case Allocation, Selection and Generation Using Coverage Spectrum and Operational Profile

We present an adaptive software testing strategy for test case allocation, selection and generation, based on the combined use of operational profile and coverage spectrum, aimed at achieving high delivered reliability of the program under test. Operational profile-based testing is a black-box technique considered well suited when reliability is a major concern, as it selects the test cases having the largest impact on failure probability in operation. Coverage spectrum is a characterization of a program's behavior in terms of the code entities (e.g., branches, statements, functions) that are covered as the program executes. The proposed strategy - named covrel+ - complements operational profile information with white-box coverage measures, so as to adaptively select/generate the most effective test cases for improving reliability as testing proceeds. We assess covrel+ through experiments with subjects commonly used in software testing research, comparing results with traditional operational testing. The results show that exploiting operational and coverage data in an integrated adaptive way allows generally to outperform operational testing at achieving a given reliability target, or at detecting faults under the same testing budget, and that covrel+ has greater ability than operational testing in detecting hard-to-detect faults.

Automated summary

The study presents an adaptive software testing strategy covrel+, which combines operational profile and coverage spectrum to enhance the reliability of the test program. Experimental results show that this strategy generally outperforms traditional operational testing in achieving a given reliability target or detecting faults within the same testing budget, with greater ability to detect hard-to-detect faults.