Approach for Minimization of Test Cases from Decision Table Generated from Cause Effect Graph
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10.5120/ijca2017915175 |
Monika Agrawal and Usha Badhera. Approach for Minimization of Test Cases from Decision Table Generated from Cause Effect Graph. International Journal of Computer Applications 172(7):7-10, August 2017. BibTeX
@article{10.5120/ijca2017915175,
author = {Monika Agrawal and Usha Badhera},
title = {Approach for Minimization of Test Cases from Decision Table Generated from Cause Effect Graph},
journal = {International Journal of Computer Applications},
issue_date = {August 2017},
volume = {172},
number = {7},
month = {Aug},
year = {2017},
issn = {0975-8887},
pages = {7-10},
numpages = {4},
url = {http://www.ijcaonline.org/archives/volume172/number7/28261-2017915175},
doi = {10.5120/ijca2017915175},
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
Abstract
Cause effect Graph focuses on modeling dependency relationships among input conditions of program known as causes, and output conditions known as, effects. The relationship among input conditions and output conditions is expressed pictorially in terms of cause-effect graph. Cause effect Graph is basically hardware-testing technique adapted to software testing by researchers. This paper proposes the details about the techniques to generate test cases from given cause-effect graph. The objective of this paper is to get the minimum number of test cases to find maximum errors.
References
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Keywords
Input, output, effects, test cases, errors, cause, cause effect graph.