State-Model-Based Regression Test Reduction for Component-Based Software release_y2i5p3uyvrb37b4dcfh3cwyaaa

by Tamal Sen, Rajib Mall

Published in ISRN Software Engineering by Hindawi Limited.

2012   Volume 2012, p1-9

Abstract

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 publishable change information to support efficient regression test selection by the application developers.
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