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2020 | OriginalPaper | Chapter

Framework for Adaptıve Testıng Strategy to Improve Software Relıabılıty

Authors : T. Prem Jacob, Pravin

Published in: New Trends in Computational Vision and Bio-inspired Computing

Publisher: Springer International Publishing

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Abstract

Reliability of software systems are less when compared to hardware systems. The optimization goal is to minimize the variance of the reliability estimator and to improve the accuracy of the software. Testing is a means of achieving reliability of the software. There are different kinds of testing to enhance the reliability. This research work improves the software reliability through adaptive testing. When software tested, the software tester uses different kinds of test cases for testing the software and each test case is obtained from the feedback of the previous testing process. Along with adaptive testing regression testing is also used to enhance different types of software testing for fixing the bugs in functional and non-functional areas.

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previous chapter A Novel Methodology for Converting English Text into Objects
next chapter Detection of Primary Glaucoma Using Fuzzy C Mean Clustering and Morphological Operators Algorithm
Literature
1.
Dr. T. Prem Jacob, Pradeep. K, (2018), OCSA: Task Scheduling Algorithm in Cloud Computing Environment, International Journal of Intelligent Engineering and Systems, Vol.11, No.3.
2.
Dr. T. Prem Jacob, (2015), Implementation of randomized test pattern generation strategy, Journal of Theoretical and Applied Information Technology, Vol.73 No.1, pp. 59–64.
3.
4.
5.
Junpeng, (2014), On the Asymptotic Behavior of Adaptive Testing Strategy for Software Reliability Assessment, IEEE transactions on software engineering, vol. 40, no. 4, pp.100-105.
6.
Tsong, (2013), Code Coverage of Adaptive Random Testing, IEEE transactions on reliability, vol. 62, no. 1, pp.1234-1240.
7.
Thillaikarasi, (2014), Effective Test Case Prioritization for Regression Testing based on Prioritization Algorithm, International Journal of Applied Information Systems, Foundation of Computer Science FCS, New York, USA Volume 6– No. 7.
8.
A. Charan, (2013), Regress Aid – A CASE Tool for Minimization of Test Suite for Regression Testing, International Journal of Computer Applications Vol 71, No.18.
9.
Zheng Li, (2007), Search Algorithms for Regression Test Case Prioritization, IEEE transactions on software engineering, vol.33, no-4.
10.
Dr. T. Prem Jacob, Implementation Of Randomized Test Pattern Generation Strategy, (2015), Journal of Theoretical and Applied Information Technology, Vol 73, Issue 1, pp.no 59–64.
11.
Dr. T. Prem Jacob, K. N. Karthick Kumar (2017), Security Enhancement Using Motion Detection, International Journal of Computer Science and Information Technology and Security, Vol 7, Issue No.2,pp.no 23–26.
12.
T. Prem Jacob, Ravi. T (2013), “Optimal Regression Test Case Prioritization using genetic algorithm”, Life Science Journal, Vol.10, No.3, pp.1021–1033, SNIP 0.010, SJR 0.071.
13.
T. Prem Jacob, Ravi. T (2013), “Optimization of test cases by prioritization”, Journal of Computer Science, Vol.9, No.8, pp.972–980, SNIP 0.020, SJR 0.071.
14.
T. Prem Jacob, Ravi. T (2013), “An Optimal Technique for Reducing the Effort of Regression Test”, Indian Journal of Science and Technology, Vol.6, No.8, pp.5065-5069.
15.
T. Prem Jacob, Ravi. T (2014), “A Novel Approach for Test Suite Prioritization”, Journal of Computer Science, Vol.10, No.1, pp.138–142, SNIP 0.020, SJR 0.071.
Metadata
Title
Framework for Adaptıve Testıng Strategy to Improve Software Relıabılıty
Authors
T. Prem Jacob
Pravin
Copyright Year
2020
Publisher
Springer International Publishing
Book
New Trends in Computational Vision and Bio-inspired Computing

Print ISBN: 978-3-030-41861-8

Electronic ISBN: 978-3-030-41862-5

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-41862-5_144

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