• Jun 03, 2019 News!Vol.9, No.5-Vol.10, No.3 have been indexed by EI (Inspec).   [Click]
  • May 13, 2020 News!Vol.12, No.3 has been published with online version.   [Click]
  • Apr 22, 2020 News!Vol.12, No.1-Vol.12, No.2 have been indexed by Crossref.
General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2010 Vol.2(2): 166-171 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2010.V2.134

Design Fault Tolerance System Using Genetic Algorithm Employing Mutation and Back-to-Back Testing

Rakesh Kumar and Kulvinder Singh

Abstract—Software system should be reliable and available failing which huge losses may incur. To achieve these objectives a thorough testing is required. Adequacy of test cases is the key to the success. Despite the availability of a number of adequacy criteria, deterministic approaches to testing are not sufficient consequential to the need of automatic random and anti-random testing. Our research uses a novel method for the development of n-version of the software by creating the different mutation in software and test cases generation using the Genetic Algorithm. Its purpose is to eliminate software faults as possible by using lesser test cases in the testing phase. The test case generated by the use of Genetic Algorithm (GA) is compared with the results of totally random generated test cases. The method was applied to the specification of a sorting of array problem. The advantage of this analysis is that when we produce multiple versions, reliability of the software is likely to be better than if a single version is developed. The N-version software testing will helps to reduce the possibility of mistakes and inconsistencies in the process of software development and testing and the number of test cases required during the testing phase of the software system. In this paper a technique of generating the test cases and doing the testing automatically, employing genetic algorithm and Back-to-Back testing has been discussed.

Index Terms—Anti-random testing, Back-to-Back testing, Genetic algorithm, N-Version Programming, Random testing.

Rakesh Kumar is with the Department of Computer Science and Applications (D.C.S.A), Kurukshetra University, Kurukshetra (K.U.K), India- 136 119 (Phone: +91-98963-36145; e-mail: rsagwal@rediffmail.com)
Kulvinder Singh is with Department of Computer Science and Engineering, University Institute of Engineering & Technology (U.I.E.T), Kurukshetra University, Kurukshetra (K.U.K), India- 136 119 (Phone: +91-94162-24353, e-mail: kshanda@rediffmail.com).


Cite: Rakesh Kumar and Kulvinder Singh, "Design Fault Tolerance System Using Genetic Algorithm Employing Mutation and Back-to-Back Testing," International Journal of Computer Theory and Engineering vol. 2, no. 2, pp. 166-171, 2010.

Copyright © 2008-2020. International Association of Computer Science and Information Technology. All rights reserved.