NDLI: Automated Generation of Independent Paths and Test Suite Optimization Using Artificial Bee Colony Soma

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Automated Generation of Independent Paths and Test Suite Optimization Using Artificial Bee Colony Soma

Content Provider	Semantic Scholar
Author	Lama, Sekhara Babu Rajub, L. Hari Prasad Kiran, Uday Chb, Swaraj Srivastavb, Praveen Ranjan
Copyright Year	2015
Abstract	Software test suite optimization is one of the most important problems in software engineering research. This paper deals with Automatic Generation of Feasible Independent Paths and Software Test Suite Optimization using Artificial Bee Colony (ABC) based novel search technique. In this approach, ABC combines both global search methods done by scout bees and local search method done by employed bees and onlooker bees. The parallel behavior of these three bees makes generation of feasible independent paths and software test suite optimization faster. Test Cases are generated using Test Path Sequence Comparison Method as the fitness value objective function. This paper also presents an approach for the automated generation of feasible independent test path based on the priority of all edge coverage criteria. Finally, this paper compares the efficiency of ABC based approach with various approaches.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://isiarticles.com/bundles/Article/pre/pdf/7408.pdf
Language	English
Access Restriction	Open
Subject Keyword	Artificial bee colony algorithm Artificial cardiac pacemaker Bees Cell body of neuron Local search (optimization) Loss function Mathematical optimization Optimization problem Program optimization Software engineering Software testing Test suite
Content Type	Text
Resource Type	Article

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