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Title: Fault dependency SRGM with testing effort using learning function

Authors: Asit Dwivedi; Deepak Kumar

Addresses: Mewar University, Gangrar, Chittorgarh, Rajasthan, 312901, India ' Amity University, Uttar Pradesh, Noida, 201301, India

Abstract: Software engineering is the procedural application with integration of various techniques, methods and tools, which help in the production of high quality software system. SRGM are mathematical models that observe past failure history and give an estimate of the future failure behaviour. The rapidity of testing of approximately all the software development is governed by the testing effort. The testing effort primarily includes manpower and computer time. Faults remaining in software system are mainly of two types: Firstly, mutually independent faults that are isolated and removed directly; secondly communally dependent faults that are isolated only by the removal of leading faults. SRGM based on fault dependency with the integration of testing efforts and learning is proposed by the authors in this paper. Furthermore, the proposed model is compared with existing models on real life data sets and it is numerically illustrated.

Keywords: software engineering; software reliability growth model; SRGM; testing effort; fault dependency; learning function; mean value function; MVF; non-homogeneous poisson process; NHPP; software management concept.

DOI: 10.1504/IJMCP.2018.090405

International Journal of Management Concepts and Philosophy, 2018 Vol.11 No.1, pp.1 - 10

Available online: 05 Mar 2018 *

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