Cause effect graph to decision table generation

Authors:
Praveen Ranjan Srivastava;Parshad Patel;Siddharth Chatrola
Affiliations:
Birla Institute of Technology and Science, Pilani, Rajasthan;Birla Institute of Technology and Science, Pilani, Rajasthan;Birla Institute of Technology and Science, Pilani, Rajasthan
Venue:
ACM SIGSOFT Software Engineering Notes
Year:
2009

Citing 2
Cited 1

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Abstract

Cause-Effect Graphing (CEG) is used to identify test cases from a given specification to validate its corresponding implementation. This paper gives detail about this technique of software testing. It also shows how the CEG technique can be used to test that software fulfill requirement specification or not. This paper surveys how CEG converted into decision table. The aim of this paper is to overcome existing algorithm's shortcomings and generate all possible test cases.