Dependence analysis for regression test suite selection and augmentation

Ural, Hasan and Yenigün, Hüsnü (2010) Dependence analysis for regression test suite selection and augmentation. In: 25th International Symposium on Computer and Information Sciences, London, UK

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Official URL: http://dx.doi.org/10.1007/978-90-481-9794-1_29


Using dependence analysis for model-based regression test suite (RTS) selection and augmentation from Extended Finite State Machine (EFSM) representations of system requirements is proposed. Given an EFSM representing the requirements of a system under test (SUT) and a set of modifications (i.e., adding, deleting, and changing transitions) on the EFSM, dependencies between transitions in the EFSM are identified. These dependencies capture the effects of the model on the modifications, the effects of the modifications on the model, and the side-effects of the modifications. The proposed method selects and augments a subset of a given test suite to form an RTS by examining dependencies covered by test cases in the given test suite.

Item Type:Papers in Conference Proceedings
Uncontrolled Keywords:Regression testing, Extended finite state machine, Control dependence, Data dependence, Regression test suite selection
Subjects:Q Science > QA Mathematics > QA075 Electronic computers. Computer science
Q Science > QA Mathematics > QA076 Computer software
ID Code:14732
Deposited By:Hüsnü Yenigün
Deposited On:20 Oct 2010 11:20
Last Modified:25 Jul 2019 16:38

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