A Comparative Study and an Overview of the Various Software Reliability Growth Models
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064



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Review Papers | Computer Science & Engineering | India | Volume 3 Issue 6, June 2014

A Comparative Study and an Overview of the Various Software Reliability Growth Models

Shivam Gautam, Arti Rana

Here we investigate the underlying basis linking the software reliability growth models to the software debugging and testing process. Its important for respective reasons. Firstly; if the parameters have an interpretation; then they constitute a metric unit for the software test process and the software under test. Secondly; it may be possible for estimating the parameters even before testing begins. These analytical values can serve as a check for the values ciphered at the beginning of testing; when the test-data is overlooked by short term noise. They can also serve as the initial estimates when iterative computations are used. A Software Reliability Growth Model is one of the fundamental techniques used to evaluate software reliability quantitatively. It is required to have a good performance in terms of goodness-of-fit; certainty and so forth. A number of analytical models have been projected during the past three decades for assessing the reliability of the software system. In this paper; we will summarize some of the existing Software Reliability Growth Models (SRGMs) ; provide a critical analysis of the inherent assumptions; and assess the applicability of these models during the software development cycle.

Keywords: Software Reliability Growth Models SGRMs, times between failures, software reliability, fault, S-Shaped and concave models, the Goel-Okumoto model

Edition: Volume 3 Issue 6, June 2014

Pages: 482 - 485

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How to Cite this Article?

Shivam Gautam, Arti Rana, "A Comparative Study and an Overview of the Various Software Reliability Growth Models", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=2014152, Volume 3 Issue 6, June 2014, 482 - 485

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