Cited By
View all- Arora PBhatia R(2017)A Systematic Review of Agent-Based Test Case Generation for Regression TestingArabian Journal for Science and Engineering10.1007/s13369-017-2796-443:2(447-470)Online publication date: 12-Aug-2017
Development of a Multi-Agent Framework for Software Quality
Pages 1 - 10
Abstract
Software test tools has been growing increasingly in terms of popularity. These testing tools are used by developers according to the their development platforms. Selection of a software test tool is a fundamental step for software testing. This paper presents a multi-agent framework facilitating the software test tool selection process. The framework has been designed for the Windows platform using the .NET architecture. The main design goals are to develop an effective and exible framework that enables a user to select different types of web-based testing tools. Also a UML model has been generated to build a multi-agent system. Thanks to the designed framework, a user is able to decide which tool should be used for detecting database, web-based and static code faults. Testing results of our framework are seen in Table 2. According to the obtained results, software test procedures can be instantly and efficiently managed based on multi-agent systems.
References
[1]
A. G. Lucca and A. R. Fasolino. Testing Web-Based Applications: The State of the Art and Future Trends. Information and Software Technology, 2006, 48(12), pp. 1172--1186.
[2]
Razak, R.A., Fahrurazi, F.R. Agile testing with Selenium, Software Engineering (MySEC), Malaysian Conference, 2011, pp. 217--219.
[3]
A. Holmes and M. Kellogg. Automating Functional Tests Using SeleniumIn AGILE '06, 2006, pp. 270--275.
[4]
D. C. Kung. An agent--based framework for testing Web applications. In Proceedings of IEEE Annual International Computer Software and Applications Conference (COMPSAC2004), 2004, pp. 174--177.
[5]
Qingning Huo, Hong Zhu, Sue Greenwood. A Multi-Agent Software Environment for Testing Web--based Applications. Proceedings of the 27th Annual International Conference on Computer Software and Applications, 2003, page 210.
[6]
Liu, L., Zhou, X. S, Gu, J. H., Yang Z. Agent-based automated compatibility software test for NLSF. International Conference on Machine Learning and Cybernetics, 2003, pp. 1986--1989.
[7]
Yu, S., Ai, J. Software Test Data Generation Based On Multi-Agent, International Journal of Software Engineering and Its Applications, 2010, 4(1).
[8]
Ponnurangam, D., Anbarasan, U. Evolution of Agent--Oriented Distributed Model for Software Testing: A Layered Approach. The International Arab Journal of Information Technology, 2004, vol. 3(2), pp. 111--117.
[9]
P. Dhavachelvan, G.V. Uma. Reliability enhancement in software testing: An agent-based approach for complex systems. Lecture notes in computer science (LNCS), 2004, pp. 282--29.
[10]
Joshi, S., Pawar, S. Agent Based Testing Tool for Event Driven Software. International Journal of Engineering Research and Applications, 2012, 2(3), pp. 2961--2965.
[11]
Bruns, A. Web application tests with selenium. IEEE Software, 2009, vol. 26(5), pp. 88--91.
[12]
Duhan, J. Testing of Database Application Using Agent Based Method. International Journal of Computer Science and Communication, 2011, 2(1) pp. 1--10.
[13]
Paydar, S., Kahani, M. An Agent-Based Framework for Automated Testing of Web-Based Systems. Journal of Software Engineering and Applications, 2011, vol. 4, pp. 86--94.
[14]
N.R. Jennings, On Agent-Based Software Engineering. Artificial Intelligence, 2000, vol. 177, pp. 277--296.
[15]
Garcia--Sanchez, F., Valencia-Garcia, R., Martinez-Bejar, R., Fernandez--Breis, J. T., An ontology, intelligent agent-based framework for the provision of semantic web services. Expert Systems with Applications, 2009, vol. 36, pp. 3167--3187.
[16]
Buhler, P. A., Vidal, J. M. Towards Adaptive Workow Enactment Using Multiagent Systems. Information Technology and Management, 2005, vol. 6, pp. 61--87.
[17]
Bazzan, A. L. C. Opportunuties for multiagent systems and multiagent reinforcement learning in traffic control. Autonomous Agents and Multiagent Systems, 2009, vol. 18, pp. 342--375.
[18]
Bazzan, A. L. C. A distributed approach for coordination of tra_c signal agents. Autonomous Agents and Multiagent Systems, 2005, vol. 10(1), pp. 131--164.
[19]
D. Weyns and M. Georgeff. Self-adaptation using multiagent systems. IEEE Software, vol. 27(1), pp. 86--91.
[20]
Cil, I ; Mala, M. A multi-agent architecture for modelling and simulation of small military unit combat in asymmetric warfare. Expert Systems with Applications, 2010, vol. 37(2), pp. 1331--1343.
[21]
Sycara, K.P., Multi agent Systems. AI Magazine, 1998, vol. 19(2), pp. 79--92.
[22]
Yu Qi, David Kung, Eric Wong. An agent-based dataflow testing approach for Web applications. Information and Software Technology, 2006, vol. 48(12), pp. 1159--1171.
[23]
A. Grosso, A. Boccalatte, M. Coccoli, A. Gozzi. An agent programming framework based on the CaZr language and the CLI. Proceedings of the 1st International Workshop on Ca_Zr and .NET Technologies on Algorithms, 2003, pp. 13--20.
[24]
D. Weyns and M. Georgeff, Self--adaptation using multiagent systems. IEEE Software, 2010, vol. 27(1), pp. 86--91.
[25]
Tang J., Towards Automation in Software Test Life Cycle Based on Multi-Agent. International Conference on Computational Intelligence and Software Engineering, 2010, pp. 1--4.
[26]
Nguyen C. D., Perini A., Bernon C., Pavon J., Thangarajah J., Testing in Multi-Agent Systems. Agent-Oriented Software Engineering X, ser. Lecture Notes in Computer Science, 2011, pp. 180--190.
[27]
Sorici A., Picard G., Boissier O., Santi A., H~ Aijbner J. F., "Multi-Agent Oriented Reorganisation within the JaCaMo infrastructure. Proceedings of The Third International Workshop, 2012, pp. 135--148.
[28]
P. Tichyia, A, P. Sinlechta, R. Staron, F. Maturana, and K. Hall, Multiagent technology for fault tolerance and exible control. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 2006, vol. 36(5), pp. 700--704.
[29]
G. A. D. Lucca and A. R. Fasolino. Web application testing. Chaper 7. Web Engineering (Emilia Mendes and Nile Mosley (Eds.), Springer-Verlag New York Inc(C), 2006.
[30]
Karimadini M., Lin H., Fault-tolerant cooperative tasking for multi-agent systems. International Journal of Control, 2011, vol. 84(12), pp. 2092--2107.
[31]
Q. Huo, H. Zhu and S. Greenwood. A multi-agent software environment for testing Web-based applications. Proceedings of 27th Annual International Computer Software and Applications Conference (COMPSAC 2003), 2003, pp. 210--215.
[32]
S. Yu and J. Ai, Software test data generation based on multi-agent. International Journal of Software Engineering and its Applications, 2010, vol. 4, pp. 67--74.
[33]
Zhang, Z., Thangarajah, J., Padgham, L. Automated unit testing for agent systems. ENASE-07, 2007, pp. 10--18.
[34]
F. Zambonelli, H.V.D. Parunak, Signs of a revolution in computer science and software engineering. Engineering Societies in the Agents World III: Third International Workshop (Lecture Notes in Computer Science), 2004, pp. 13--28.
[35]
M. Wooldridge, P. Ciancarini. Agent--oriented software engineering: the state of the art. Proceedings of Agent-Oriented Software Engineering: The First International Workshop (Lecture Notes in Computer Science), 2001, pp. 1--28.
[36]
Y.-C. Chou, D. Ko and H. H. Cheng. An embeddable mobile agent platform supporting runtime code mobility, interaction and coordination of mobile agents and host systems. Information and Software Technology, 2009, vol. 52(2), pp. 185--196.
[37]
Saleh, K., El-Morr, C. and M-UML. An extension to UML for the modeling of mobile agent--based software systems. Information and Software Technology, 2004,vol. 46, pp. 219--227.
[38]
Maamar, Z. Design of a simulation environment based on software agents and the high level architecture. Information and Software Technology, 2003, vol. 45, pp. 137--148.
[39]
Junges R., Klügl F. Generating inspiration for agent design by reinforcement learning. Information and Software Technology, 2012, vol. 54, pp. 639--649.
[40]
Fortino G., Garro A., Russo W., Achieving Mobile Agent Systems interoperability through software layering. Information and Software Technology, 2008, vol. 50, pp. 322--241.
[41]
Bedi, P., Gandotra, V., Singhal, A., Narang, H. and Sharma. Threat-oriented security framework in risk management using multiagent system. Softw: Pract. Exper, 2012, vol. 42(6).
[42]
Christo_el, M., Wojke, G., Werner, S., Rezek, R., Xu, S., An agent-oriented approach to the integration of information sources. Journal of Web Engineering (2005), vol. 4(3), pp. 224--243.
[43]
K. Karnavel,V. Divya, Gnanakeerthika and P. Karthika, Agent Based Software Testing Framework (ABSTF) for Application Maintenance, IJREAT, 2013, vol. 1(1).
[44]
Y. Qi, D. Kung, E. Wong, An agent-based testing approach for Web applications, in: Proceedings of the 29th Computer Software and Applications Conference -- Workshop Papers and Fast Abstract -- Workshop on Quality Assurance and Testing of Web-based Applications, IEEE Computer Society Press, Los Alamitos (CA), 2005, pp. 45--50.
[45]
Selenium IDE Plugins, http://www.seleniumhq.org/projects/ide/, 2013.
[46]
Subgraph Vega j Free and Open Source Web Application Vulnerability Scanner, http://subgraph.com/products.html, 2013.
[47]
A. Richardson, Selenium Simplified, Compendium Developments, 2010.
Index Terms
- Development of a Multi-Agent Framework for Software Quality
Recommendations
JFuzz: A Tool for Automated Java Unit Testing Based on Data Mutation and Metamorphic Testing Methods
TSA '15: Proceedings of the 2015 Second International Conference on Trustworthy Systems and Their ApplicationsAutomated test framework plays a significant role in test driven software development methodologies. The XUnit family of testing tools has been widely used in the industry. However, they are weak in supporting test case generation and test result ...
Test suite cooperative framework on software quality
CDVE'09: Proceedings of the 6th international conference on Cooperative design, visualization, and engineeringSoftware testing has gradually played an important role in controlling the quality of software product. In this paper, we study the characteristics of test suites in software testing and analyze their structure. A novel test suite cooperative framework ...
A Multi-Agent Based Framework for Collaborative Testing on Web Services
SEUS-WCCIA '06: Proceedings of the The Fourth IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, and the Second International Workshop on Collaborative Computing, Integration, and Assurance (SEUS-WCCIA'06)Web Services (WS) is currently the major implementation of Service-Oriented Architecture (SOA). It defines a framework for agile and flexible integration among autonomous services based on Internet open standards. However, testing has been a challenge ...
Comments
Information & Contributors
Information
Published In
Copyright © 2015 Authors.
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 06 February 2015
Published in SIGSOFT Volume 40, Issue 1
Check for updates
Author Tags
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 237Total Downloads
- Downloads (Last 12 months)2
- Downloads (Last 6 weeks)0
Reflects downloads up to 05 Mar 2025
Other Metrics
Citations
Cited By
View all- Arora PBhatia R(2017)A Systematic Review of Agent-Based Test Case Generation for Regression TestingArabian Journal for Science and Engineering10.1007/s13369-017-2796-443:2(447-470)Online publication date: 12-Aug-2017
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in