A Methodology for Identification of Failures in Software Development Process
Avinash seekoli1, Srinivas.yaramalle2
1Avinash Seekoli*, Cse Department, Centurion University Technology And Management, Paralakhemundi, India.
2Dr. Srinivas. Yarramalle, IT Department, GITAM Institute of Technology, Vishakapatnam, India.
Manuscript received on September 27, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 1066-1069 | Volume-9 Issue-1, October 2019 | Retrieval Number: A9478109119/2019©BEIESP | DOI: 10.35940/ijeat.A9478.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Software reliability is a branch of software engineering, which in specific deals with the performance of the software. In terms of identification of failures many methodologies that were present in the literature fail to identify the failure rate of a newly developed application. Hence the proposal article aims at understanding the failure rate at an early stage. The methodology proposed based on normal distribution.
Keywords: Software reliability, Normal distribution, Failure rate, Software engineering