DocumentCode :
2820976
Title :
Automatic Test Task Allocation in Agent-Based Distributed Automated Testing Framework
Author :
Gao Jing ; Lan Yuqing
Author_Institution :
Sch. of Comput. & Inf. Eng., Inner Mongolia Agric. Univ., Huhhot, China
fYear :
2009
fDate :
11-13 Dec. 2009
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, agent-based distributed automated testing framework is proposed, and for the current lack of automatic test task allocation function in distributed automated testing framework, an approach of automatic test task allocation based on the test node ability is given. The complex test task is broken down into atomic test tasks, the test tasks in the test definition file is represented using "and-or tree" and ECA rules by the testers. Test master agent automatically obtain and calculate the execution ability of test nodes, the execution ability of test nodes is the computing power and system resources which the test nodes owned, then automatically allocate the test tasks in accordance with the "and-or tree" and the ECA rules described in the test definition file. The general architecture of agent-based distributed automated testing framework is given, and the automatic test task allocation method based on the ability of the test node is elaborated. The method has been applied to the distributed automated testing framework to enhance the test automation capabilities.
Keywords :
distributed programming; program testing; software agents; ECA rules; agent-based testing; and-or tree method; automatic test task allocation function; distributed automated testing framework; test master agent; test node ability; Agricultural engineering; Automatic testing; Automation; Computer architecture; Computer science; Distributed computing; Graphical user interfaces; Power system management; Resource management; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
Type :
conf
DOI :
10.1109/CISE.2009.5363572
Filename :
5363572
Link To Document :
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