Optimal test sequence generation using firefly algorithm
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Official URL: http://dx.doi.org/10.1016/j.swevo.2012.08.003
Software testing is an important but complex part of software development life cycle. The optimization of the software testing process is a major challenge, and the generation of the independent test paths remains unsatisfactory. In this paper, we present an approach based on metaheuristic firefly algorithm to generate optimal test paths. In order to optimize the test case paths, we use a modified firefly algorithm by defining appropriate objective function and introducing guidance matrix in traversing the graph. Our simulations and comparison show that the test paths generated are critical and optimal paths.
|Keywords (uncontrolled):||Firefly algorithm; State transition diagram; Objective Function; Cyclometic complexity; Control flow graph|
|Research Areas:||A. Middlesex University Schools and Centres > School of Science and Technology > Design Engineering and Mathematics|
|Deposited On:||16 Nov 2012 14:43|
|Last Modified:||25 Feb 2015 17:48|
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