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State-Model-Based Regression Test Reduction for Component-Based Software
2012
ISRN Software Engineering
We present a novel regression test selection approach based on analysis of state and dependence models of components. Our technique targets to select a smaller regression test suite compared to the pure dependence-based RTS approaches while maintaining the fault revealing effectiveness. In our approach, after a modification, control and data dependencies are analyzed to identify the potentially affected statements. Subsequently, the state model of the component is analyzed to compute a precise
doi:10.5402/2012/561502
fatcat:y2i5p3uyvrb37b4dcfh3cwyaaa