Optimized Test Coverage With Hybrid Particle Swarm Bee Colony And Firefly Cuckoo Search Algorithms In Model Based Software Testing-Reference-Cited by-同舟云学术

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Optimized Test Coverage With Hybrid Particle Swarm Bee Colony And Firefly Cuckoo Search Algorithms In Model Based Software Testing

Published:2022-03-10 Issue: Volume: Page:
ISSN:
Container-title:2022 First International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR)
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Author:

Potluri Sirisha¹,Ravindra Jvr²,Mohammad Gouse Baig³,Sajja Guna Sekhar⁴

Affiliation:

1. Vignan Institute of Technology and Science, Deshmukhi(V), Pochampally(M),Yadadri-Bhuvanagiri District,Department of CSE,Telangana,India,508284

2. Vardhaman College of Engineering (Autonomous),Department of ECE,Hyderabad,India

3. Vardhaman College of Engineering (Autonomous),Department of Computer Sc & Engineering,Hyderabad,India

4. University of the Cumberlands,Information Technology Department,Williamsburg,KY,40769

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9844160/9843975/09844208.pdf?arnumber=9844208

Reference18 articles.

1. A Comprehensive Comparison of Ant Colony and Hybrid Particle Swarm Optimization Algorithms Through Test Case Selection

2. Test Case Optimization Using Artificial Bee Colony Algorithm;srikanth;Advances in Computing and Communications ACC 2011 Communications in Computer and Information Science,2011

3. Grasshopper optimization algorithm for multi-objective optimization problems

4. An Ant Colony Optimization Algorithm Based Automated Generation of Software Test Cases

5. Optimization of object-oriented testing using firefly algorithm

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