Volume 2, Issue 2, June 2014, Pages 296–300
K. Ramesh1 and P. Manivannan2
1 Assistant Professor, Department of Information Technology, V.R.S. College of Engineering & Technology, Arasur, Villupuram Dt, Tamilnadu, India
2 Assistant Professor, Department of Information Technology, V.R.S. College of Engineering & Technology, Arasur, Villupuram Dt, Tamilnadu, India
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Test oracles are mostly written manually by the user once test data are generated. This is because of the fact that each bug requires a different input and different data. This is a very difficult and time consuming task as the tester must produce quick and meaningful test cases for testing. However, the major problem of this approach is that they can cover only one goal at a time. They are dependent on one another and sometimes are not replicable. This paper presents a new approach by which test oracles are generated automatically by the usage of evolutionary algorithm. This method has successfully allowed bug identification in thousands of classes and it is quick to use.
Author Keywords: Search-Based Software Engineering, Length, Branch Coverage, Genetic Algorithm, Evolutionary Algorithm.
K. Ramesh1 and P. Manivannan2
1 Assistant Professor, Department of Information Technology, V.R.S. College of Engineering & Technology, Arasur, Villupuram Dt, Tamilnadu, India
2 Assistant Professor, Department of Information Technology, V.R.S. College of Engineering & Technology, Arasur, Villupuram Dt, Tamilnadu, India
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Test oracles are mostly written manually by the user once test data are generated. This is because of the fact that each bug requires a different input and different data. This is a very difficult and time consuming task as the tester must produce quick and meaningful test cases for testing. However, the major problem of this approach is that they can cover only one goal at a time. They are dependent on one another and sometimes are not replicable. This paper presents a new approach by which test oracles are generated automatically by the usage of evolutionary algorithm. This method has successfully allowed bug identification in thousands of classes and it is quick to use.
Author Keywords: Search-Based Software Engineering, Length, Branch Coverage, Genetic Algorithm, Evolutionary Algorithm.
How to Cite this Article
K. Ramesh and P. Manivannan, “Test Suite Generation using Genetic Algorithm and Evolutionary Techniques with Dynamically Evolving Test Cases,” International Journal of Innovation and Scientific Research, vol. 2, no. 2, pp. 296–300, June 2014.
