Software testing techniques (2nd ed.)
Software testing techniques (2nd ed.)
Effective methods for software testing
Effective methods for software testing
Software unit test coverage and adequacy
ACM Computing Surveys (CSUR)
Software Testing: A Craftsman's Approach
Software Testing: A Craftsman's Approach
Testing Computer Software, Second Edition
Testing Computer Software, Second Edition
On the Use of Neural Networks to Guide Software Testing Activities
Proceedings of the IEEE International Test Conference on Driving Down the Cost of Test
The data mining approach to automated software testing
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Systematic literature reviews in software engineering - A tertiary study
Information and Software Technology
Cellular automata based test data generation
ACM SIGSOFT Software Engineering Notes
Cellular-genetic test data generation
ACM SIGSOFT Software Engineering Notes
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Black Box Testing is immensely important because the source code of a module is not always available. Enterprise Resource Planning systems are also tested using Black Box Testing wherein all the test cases are not equally important. The prioritization of these test cases would be helpful in case of premature termination of testing, due to lack of resources. This paper proposes a Neural Network based method to prioritize test cases. The paper also presents guidelines for prioritizing test cases. The technique has been tested using a financial management system and the results are encouraging. This paper paves way for applying Neural Network in Black Box Testing and presents a framework, which would help both researchers and practitioners.