Study of ERP Test-Suite Reduction Based on Modified Condition/Decision Coverage

TLDR: This paper proposes a new test-suite reduction technique for MC/DC: a bi-objective model that considers both the coverage degree of test case for test requirements and the capability of test cases to reveal error, and results show that the technique both reduces the size of test suite and better ensures the effectiveness of test suites to revealerror.

Abstract: Enterprise Resource Planning (ERP) systems represent a huge market in the commercial arena. Products from suppliers such as SAP, Oracle and more recently, Microsoft, dominate the software market. Testing in these projects is a significant effort but is hardly supported by methods and tools other than those provided by the suppliers themselves. Experience shows that testing in these projects is critical, but often neglected. Recent 'lessons learned' work by the Paul Gerrard indicates that a benefit, risk- and coverage-based test approach could significantly reduce the risk of failures. It is evidence that modified condition/decision coverage (MC/DC) is an effective verification method and can help to detect safety faults despite of its expensive cost. In regression testing, it is quite costly to return all of test cases in test suite because new test cases are added to test suite as the software evolves. Therefore, it is necessary to reduce the test suite to improve test efficiency and save test cost. Many existing test-suite reduction techniques are not effective to reduce MC/DC test suite. This paper proposes a new test-suite reduction technique for MC/DC: a bi-objective model that considers both the coverage degree of test case for test requirements and the capability of test cases to reveal error. Our experiment results show that the technique both reduces the size of test suite and better ensures the effectiveness of test suite to reveal error.