International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 125 | Views: 186

Research Paper | Computer Science & Engineering | India | Volume 4 Issue 10, October 2015


Test Suite optimization Using Artificial Bee Colony and Adaptive Neural Fuzzy Inference System

Gurcharan Kaur | Bhupender Yadav


Abstract: Software test suite optimization is one of the essential issue in software engineering analysis. This paper deals with the improvement in quality of software by software Test Suite Optimization using Artificial Bee Colony (ABC) based novel search technique and technique determine the software development time accurately by proposed Adaptive Neuro Fuzzy Inference System (ANFIS). In this approach, ABC combines the equidistant behaviour of these three bees makes generation of feasible self-supporting paths and also makes software test suite optimization faster. Test Cases are generated using Test Path Sequence Comparison Method as the fitness value objective function. This research also presents an approach for the automated generation of feasible self-supporting test path based on the priority of all edge cover.


Keywords: ABC, ANFIS, SDLC, SUT


Edition: Volume 4 Issue 10, October 2015,


Pages: 721 - 723


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