Volume 12 Number 1 (Jan. 2017)
Home > Archive > 2017 > Volume 12 Number 1 (Jan. 2017) >
JSW 2017 Vol.12(1): 1-8 ISSN: 1796-217X
doi: 10.17706/jsw.12.1.1-18

An Efficient Method for Enhancing Reliability and Selection of Software Reliability Growth Model through Optimization Techniques

Mallikharjuna Rao K.1*, K. Anuradha2
1Department of IT, GITAM University, Visakhapatnam, Andhra Pradesh, India.
2Department of CSE, School of Computing, GRIET, Hyderabad, Telangana, India.

Abstract—Software reliability engineering has recently turned out to be an interesting research topic in the field of software engineering. For the purpose of reliability calculation of software, various software reliability models have been designed based on the application of software in particular fields. The ability of the particular model in estimating the failure rate, reliability, and cost of the software are the major requirement in reliability modeling since any sort of failure or fault in the software can make the entire system unreliable to perform the desired operation. This paper proposes an efficient software reliability growth model (SRGM) model selection for estimating the reliability of the software. The reliability model selection criteria are generally based on the improved computational time and better failure rates. The selection of the model is done by utilizing optimization techniques. Here we have used modified cuckoo search optimization and modified ABC in order to find the effectiveness of the reliability model. Using these optimization algorithms, we evaluate various measures of the reliability models and are compared with that of other models. Here two different optimization approaches are used since we can efficiently find the best model using these algorithms.

Index Terms—Modified cuckoo search algorithm, modified artificial bee colony optimization, genetic algorithm, software reliability modeling, software reliability growth model, optimization techniques.

[PDF]

Cite: Mallikharjuna Rao K., K. Anuradha, "An Efficient Method for Enhancing Reliability and Selection of Software Reliability Growth Model through Optimization Techniques," Journal of Software vol. 12, no. 1, pp. 1-18, 2017.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
  • Dec 06, 2019 News!

    Vol 14, No 1- Vol 14, No 4 has been indexed by EI (Inspec)   [Click]

  • Jun 22, 2020 News!

    Papers published in JSW Vol 14, No 1- Vol 15 No 4 have been indexed by DBLP     [Click]

  • Jun 22, 2020 News!

    The papers published in Vol 15, No 5 have all received dois from Crossref    [Click]

  • Aug 01, 2018 News!

    [CFP] 2020 the annual meeting of JSW Editorial Board, ICCSM 2020, will be held in Rome, Italy, July 17-19, 2020   [Click]

  • Jun 22, 2020 News!

    Vol 15, No 5 has been published with online version     [Click]