Abstract
This paper surveys on Cloud Based Automated Testing Software that is able to perform Black-box testing, White-box testing, as well as Unit and Integration Testing as a whole. In this paper, we discuss few of the available automated software testing frameworks on the cloud. These frameworks are found to be more efficient and cost effective because they execute test suites over a distributed cloud infrastructure. One of the framework effectiveness was attributed to having a module that accepts manual test cases from users and it prioritize them accordingly. Software testing, in general, accounts for as much as 50% of the total efforts of the software development project. To lessen the efforts, one the frameworks discussed in this paper used swarm intelligence algorithms. It uses the Ant Colony Algorithm for complete path coverage to minimize time and the Bee Colony Optimization (BCO) for regression testing to ensure backward compatibility.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 252-256 |
| Number of pages | 5 |
| Journal | Advances in Science, Technology and Engineering Systems |
| Volume | 3 |
| Issue number | 2 |
| DOIs | |
| State | Published - 2018 |
Bibliographical note
Funding Information:Authors would like to thank the reviewers of this work for their help. This work was accomplished by the support of University of Minnesota Crookston.
Publisher Copyright:
© 2019 Advances in Science, Technology and Engineering Systems. All rights reserved.
Keywords
- Ant colony algorithm
- Bee colony optimization
- Cloud based testing
- Swarm intelligence
- Test case prioritization