SOFTWARE RELIABILITY ISSUES UNDER OPERATIONAL AND TESTING CONSTRAINTS

Author:

JAIN MADHU1,PRIYA KRITI2

Affiliation:

1. Department of Mathematics, Institute of Basic Science, Dr. B.R. Ambedkar University, Khandari, Agra 282005, India

2. Institute of Technology and Science, Mohan Nagar, Ghaziabad, India

Abstract

Software reliability plays an important role in assuring the quality of a software. To ensure software reliability, the software is tested thoroughly during the testing phase. The time invested in the testing phase or the optimal software release time depends on the level of reliability to be achieved. There are two different concepts related to software reliability, viz., testing reliability and operational reliability. In this paper, we compare both types of software reliabilities to determine the optimal testing time of the software so as to minimize the total expected software maintenance cost. We consider a software has a number of clusters of modules, each having a different number of errors and a different failure rate. A hyperexponential model is employed for analyzing software reliability growth. Parameter estimation using the maximum likelihood estimation technique is also discussed. Numerical illustrations are taken to explore the effect of various parameters on reliability and maintenance cost. It is noticed that the operational reliability concept should be adopted for the software testing time problem.

Publisher

World Scientific Pub Co Pte Lt

Subject

Management Science and Operations Research,Management Science and Operations Research

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Software Reliability Models Considering Fault Dependency;Software Fault Detection and Correction: Modeling and Applications;2018

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3. Discrete-Time Framework for Determining Optimal Software Release and Patching Time;Quality, IT and Business Operations;2017-10-04

4. Modeling of software fault detection and correction processes with fault dependency;Eksploatacja i Niezawodnosc - Maintenance and Reliability;2017-06-12

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