A Multi Agent Based Approach for Critical Components Identification and Testing

Author:

Mala D. Jeya1,Iswarya R.2

Affiliation:

1. Department of Computer Applications, Thiagarajar College of Engineering, Madurai, Tamil Nadu, India

2. Thiagarajar College of Engineering, Madurai, Tamil Nadu, India

Abstract

In real time software systems, testing plays a crucial role as any of the critical components in these systems are left undetected, then inadvertent effects will happen which will lead to erroneous operations, system failure, high cost and resource wastage etc. To address this most important and the emergent problem, this research work proposes an effective method by means of multi-agents based approach to identify such critical components and execute test cases along the critical test paths which will aid in effectively covering them during testing. Finally, this paper also compared the performance with existing approaches in terms of time taken for the search process and the component coverage based test adequacy criterion to ensure quality of the software.

Publisher

IGI Global

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference46 articles.

1. Agrawal, H. (1994). Dominators, super blocks, and program coverage. In Proceedings of the 21st ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (pp. 25-34).

2. Andrea, A., & Xin, Y. (2008). A novel co-evolutionary approach to automatic software bug fixing. In Proceedings of the IEEE World Congress on Computational Intelligence- 2008. IEEE Press.

3. Basili, V. R., Briand, L. C., & Melo, W. L. (1996). A validation of object-oriented design metrics as quality indicators. IEEE Transaction on Software Engineering, 22(10), 751–761, 751-761.

4. Basturk, B., & Karaboga, D. (2006, May 12-14). An artificial bee colony (ABC) algorithm for numeric function optimization. In Proceedings of the IEEE Swarm Intelligence Symposium 2006, Indianapolis, IN.

5. Baykasolu, A., Özbakır, L., & Tapkan, P. (2009). Artificial bee colony algorithm and its application to generalized assignment problem. Book on Swarm Intelligence: Focus on Ant and Particle Swarm Optimization.

Cited by 5 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. Impact Analysis of Intelligent Agents in Automatic Fault-Prone Components Prediction and Testing;Research Anthology on Agile Software, Software Development, and Testing;2022

2. Investigating the Effect of Sensitivity and Severity Analysis on Fault Proneness in Open Source Software;Research Anthology on Recent Trends, Tools, and Implications of Computer Programming;2021

3. Impact Analysis of Intelligent Agents in Automatic Fault-Prone Components Prediction and Testing;Multidisciplinary Approaches to Service-Oriented Engineering;2018

4. Investigating the Effect of Sensitivity and Severity Analysis on Fault Proneness in Open Source Software;International Journal of Open Source Software and Processes;2017-01

5. A Study on Software Development Architectures for Mobile Cloud Computing (MCC) for Green IT;Modern Software Engineering Methodologies for Mobile and Cloud Environments;2016

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3