An Overview and Classification of Software Reliability Models

Authors

  • Dilip Sadhankar  Research Scholar, Department of Electronics & Computer Science, R.T.M. Nagpur University, Nagpur, Maharashtra, India
  • Ashish Sasankar  Assocate Professor, Department of Computer Science, G.H. Raisoni Institute of Information Technology, Nagpur, Maharashtra, India

Keywords:

Software reliability, Empirical model, Classification, times between failures, Estimation, failure count models, fault seeding, input domain models, model fitting, NHPP

Abstract

A software quality aspect is measured in terms of mean time to failure or failure intensity of the software. It is one of the key attributes when talk about software quality. Software quality may parts into quality aspect in various ways; however, software reliability seen as one of the key attribute of software quality. Software reliability is a valuable measure in planning and controlling the resources throughout the development process, as a result, high quality software can be developed. Scheduling and controlling the testing resources through software reliability measures can be completed by matching the additional cost of testing and the corresponding improvement in software reliability. It is too, a valuable measure for providing the user confidence about software correctness. A number of analytical models have been introduced in the past decades to assess the reliability of the software system. In this paper, researchers are giving an overview & analysis of software reliability models.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-02-28

Issue

Volume 3, Issue 1, January-February-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dilip Sadhankar, Ashish Sasankar, " An Overview and Classification of Software Reliability Models" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.1960-1966, January-February-2018.