Optimal test sequence generation in state based testing using moth flame optimization algorithm-Reference-Cited by-同舟云学术

Optimal test sequence generation in state based testing using moth flame optimization algorithm

Published:2018-11-20 Issue:5 Volume:35 Page:5203-5215
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Sharma Rashmi¹,Saha Anju¹

Affiliation:

1. USICT, GGSIPU, Dwarka, New-Delhi, India

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference44 articles.

1. Mathur A.P. , Foundations of Software Testing, 1st. ed. Addison-Wesley Professional, 2008.

2. Episkopos D.C. , Li J.J. , Yee H.S. and Weiss D.M. , Prioritize code for testing to improve code coverage of complex software, 2011, us Patent 7,886,272.

3. Wirfs-Brock R. , Wilkerson B. and Wiener L. , Designing object-oriented software, 1990.

4. Walden K. and Nerson J.M. , Seamless object-oriented software architecture: Analysis and design of reliable systems, Prentice-Hall, 1995.

5. Object-oriented design patterns for detailed design;Al-Ahmad;Journal of Object Technology,2006

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Systematic Literature Review on Robust Swarm Intelligence Algorithms in Search-Based Software Engineering;Complexity;2023-02-23

2. Search-based reduction model for unit testing;Revista Facultad de Ingeniería Universidad de Antioquia;2022-10-18

3. An Improved Moth-Flame Optimization Algorithm for Engineering Problems;Symmetry;2020-07-27

4. A comprehensive review of moth-flame optimisation: variants, hybrids, and applications;Journal of Experimental & Theoretical Artificial Intelligence;2020-03-16

5. Fermat Spiral-Based Moth-Flame Optimization Algorithm for Object-Oriented Testing;Advances in Computing and Intelligent Systems;2020