
A Methodology for Identification of Failures in Software Development Process
Author(s) -
Avinash Seekoli,
Srinivas Yarramalle
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a9478.109119
Subject(s) - reliability engineering , failure rate , computer science , identification (biology) , software quality , reliability (semiconductor) , software development process , software development , software , process (computing) , software engineering , engineering , programming language , power (physics) , botany , physics , quantum mechanics , biology
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.