Application of Evolutionary Particle Swarm Optimization Algorithm in Test Suite Prioritization-Reference-Cited by-同舟云学术

Application of Evolutionary Particle Swarm Optimization Algorithm in Test Suite Prioritization

Published:2018 Issue: Volume: Page:11-30
ISSN:2212-9391
Container-title:Computational Vision and Bio Inspired Computing
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Author:

Anuradha Chug,Neha Narula

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-71767-8_2

Reference26 articles.

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2. Suri, B., Singhal, S.: Implementing ant colony optimization for test case selection and prioritization. Int. J. Comput. Sci. Eng. 3(5), 1924–1932 (2011)

3. Rothermel, G., Untch, R.H., Chu, C., Harrold, M.J.: Prioritizing test cases for regression testing. IEEE Trans. Software Eng. 27(10), 929–948 (2001)

4. Mor, M.A.: Evaluate the effectiveness of test suite prioritization techniques using APFD metric. IOSR J. (IOSR Journal of Computer Engineering) 1(16), 47–51

5. El-Sherbiny, M.M.: Particle swarm inspired optimization algorithm without velocity equation. Egypt. Inf. J. 12(1), 1–8 (2011)

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