Experiments of the effectiveness of dataflow- and controlflow-based test adequacy criteria
ICSE '94 Proceedings of the 16th international conference on Software engineering
Prioritizing Test Cases For Regression Testing
IEEE Transactions on Software Engineering
Automatic test factoring for java
Proceedings of the 20th IEEE/ACM international Conference on Automated software engineering
Search Algorithms for Regression Test Case Prioritization
IEEE Transactions on Software Engineering
An empirical study of incorporating cost into test suite reduction and prioritization
Proceedings of the 2009 ACM symposium on Applied Computing
Test case prioritization: a systematic mapping study
Software Quality Control
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Regression test suite prioritization techniques reorder a test suite with the goal of ensuring that the reorganized test suite finds faults faster than the initial ordering. It is challenging to empirically evaluate the effectiveness of a new test case arrangement because existing metrics (i) require fault seeding or (ii) ignore test case costs. This paper presents a coverage effectiveness (CE) metric that (i) obviates the need to seed faults into the program under test and (ii) incorporates available data about test case execution times. A test suite is awarded a high CE value when it quickly covers the test requirements. It is possible to calculate coverage effectiveness regardless of the coverage criterion that is chosen to evaluate test case quality. The availability of an open source CE calculator enables future case studies and controlled experiments to use coverage effectiveness when evaluating different approaches to test suite prioritization.