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

Author(s):

Gurcharan Kaur , GURGAON INSTITUTE OF TECHNOLOGY AND MANAGEMENT, GURGAON, HARYANA; Bhupender Yadav, GURGAON INSTITUTE OF TECHNOLOGY AND MANAGEMENT, GURGAON, HARYANA

Keywords:

ANFIS , ABC , SDLC

Abstract

Software test suite optimization is one of the most important problems in software engineering research. This paper deals with the concept to find the Automatic Generation of Feasible Independent Paths and Software Test Suite Optimization using Artificial Bee Colony (ABC) based novel search technique and Adaptive Neuro Fuzzy Inference system (ANFIS) . 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 behaviour of these three bees makes generation of feasible independent paths and software test suite optimization faster. Finally, this paper compares the efficiency of ABC based approach with various approaches.

Other Details

Paper ID: IJSRDV3I30922
Published in: Volume : 3, Issue : 3
Publication Date: 01/06/2015
Page(s): 1815-1817

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