Test Case Optimization Using Artificial Bee Colony Algorithm

Author:

AdiSrikanth ,Kulkarni Nandakishore J.,Naveen K. Venkat,Singh Puneet,Srivastava Praveen Ranjan

Publisher

Springer Berlin Heidelberg

Reference20 articles.

1. Pressman, R.S.: Software Engineering: A practitioners Approach, 6th edn., vol. ch.1. McGraw-Hill, New York (2007)

2. Sommerville: Software Engineering, 8th edn., ch.1 (27-42), 11(265-288), 23(561-589). Pearson, London (2007)

3. Basturk, B., Karaboga, D.: A powerful and efficient algorithm for numerical function optimization: artificial bee colony(ABC) algorithm. In: Proceedings of the IEEE Swarm Intelligence Symposium, pp. 459–471. IEEE, Indianapolis (2006)

4. KDeb: Multi-Objective optimization using Evolutionary Algorithms, 1st edn., ch.4 (140). John Wiley & Sons, UK (2001)

5. Christoph, C., Michael Gary, E., Michael, M., Schatz Curtis, A., Walton, C., et al.: Genetic Algorithms for Dynamic Test Data Generation. In: Proceedings of the 12th International Conference on Automated Software Engineering (ASE), pp. 307–308. IEEE, Washington, DC, USA (1997)

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