Cause effect graph to decision table generation

Author:

Srivastava Praveen Ranjan1,Patel Parshad1,Chatrola Siddharth1

Affiliation:

1. Birla Institute of Technology and Science, Pilani, Rajasthan

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.

Publisher

Association for Computing Machinery (ACM)

Reference9 articles.

1. Myers G. L. "The Art of Software Testing" Wiley-Interscience New-York. Myers G. L. "The Art of Software Testing" Wiley-Interscience New-York.

2. Ilene Burnstein "Practical Software Testing" Ilene Burnstein "Practical Software Testing"

3. Khenaidoo Nursimulu Robert L. Probert "Cause-Effect Graphing Analysis and Validation of Requirements" Khenaidoo Nursimulu Robert L. Probert "Cause-Effect Graphing Analysis and Validation of Requirements"

4. The Westfall Team "Cause-Effect Graphing By Theresa Hunt" The Westfall Team "Cause-Effect Graphing By Theresa Hunt"

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1. Usage of cause‐effect graphs for reliability analysis of an embedded IoT alarm software system;Quality and Reliability Engineering International;2024-03-04

2. CEGSet: Collection of standardized cause-effect graph specifications;2023 12th Mediterranean Conference on Embedded Computing (MECO);2023-06-06

3. Mutation-Based Minimal Test Suite Generation for Boolean Expressions;International Journal of Software Engineering and Knowledge Engineering;2023-05-17

4. Optimization of the test case minimization algorithm based on forward-propagation in cause-effect graphs;2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH);2023-03-15

5. Cause-effect Graphing Technique: A Survey of Available Approaches and Algorithms;2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD);2022-12-07

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