A hybrid-adaptive neuro-fuzzy inference system for multi-objective regression test suites optimization

Author:

Anwar Zeeshan,Afzal Hammad,Bibi Nazia,Abbas HaiderORCID,Mohsin Athar,Arif Omar

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference46 articles.

1. Abraham A (2001) Neuro fuzzy systems: state-of-the-art modeling techniques. In: Connectionist models of neurons, learning processes, and artificial intelligence, pp 269–276

2. Agrawal AP, Kaur A (2018) A comprehensive comparison of ant colony and hybrid particle swarm optimization algorithms through test case selection. Springer, Singapore, pp 397–405

3. Alakeel AM (2012) A fuzzy test cases prioritization technique for regression testing programs with assertions. In: The sixth international conference on advanced engineering computing and applications in sciences, pp 78–82

4. Ansari A, Khan A, Khan A, Mukadam K (2016) Optimized regression test using test case prioritization. Procedia Comput Sci 79:152–160

5. Anwar Z (2013) Neuro-fuzzy modeling based regression test suite optimization. MSc discreation, Center for Advanced Studies in Engineering, UET, Taxila

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