Test Suite Prioritization Using Nature Inspired Meta-Heuristic Algorithms

Real World is filled with various hard and complex problems. One such complex problem is an optimization problem. Optimization has been an active area of research for several decades. Optimized solutions are hard to find so there are no deterministic algorithms that can find exact solution in polyno...

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Bibliographic Details
Published inIntelligent Systems Design and Applications Vol. 557; pp. 216 - 226
Main Authors Gupta, Daya, Gupta, Vishal
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2017
Springer International Publishing
SeriesAdvances in Intelligent Systems and Computing
Subjects
Artificial intelligence
Biographical based optimization
Grey Wolf Optimizer
Meta-heuristic algorithm
Regression testing
Software testing
Test minimization
Test prioritization
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Summary:Real World is filled with various hard and complex problems. One such complex problem is an optimization problem. Optimization has been an active area of research for several decades. Optimized solutions are hard to find so there are no deterministic algorithms that can find exact solution in polynomial time. In large domain of applications of intelligence techniques we are interested in exploring the application of Biographical Based Optimization (BBO) and Grey Wolf Optimizer (GWO) meta-heuristic algorithm to the domain of software testing. The GWO mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. In this paper we adapt BBO and GWO for test suite prioritization and minimization and evaluate their performance with other nature inspired meta-heuristics.
ISBN:9783319534794
3319534793
ISSN:2194-5357
2194-5365
DOI:10.1007/978-3-319-53480-0_22