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Approach for Minimization of Test Cases from Decision Table Generated from Cause Effect Graph
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 172 - Number 7 |
| Year of Publication: 2017 |
| Authors: Monika Agrawal, Usha Badhera |
10.5120/ijca2017915175
|
Monika Agrawal, Usha Badhera . Approach for Minimization of Test Cases from Decision Table Generated from Cause Effect Graph. International Journal of Computer Applications. 172, 7 ( Aug 2017), 7-10. DOI=10.5120/ijca2017915175
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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