Novel collaborative automated testing framework using DDF

Authors:
Songwen Pei;Baifeng Wu;Qiang Yu;Kun Zhu
Affiliations:
Department of computing and information technology, Fudan University, Shanghai, P.R. China;Department of computing and information technology, Fudan University, Shanghai, P.R. China;Department of computing and information technology, Fudan University, Shanghai, P.R. China;Department of computing and information technology, Fudan University, Shanghai, P.R. China
Venue:
CDVE'07 Proceedings of the 4th international conference on Cooperative design, visualization, and engineering
Year:
2007

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Abstract

Collaborative testing is an effective way of distributed interoperability in pursuit of automated testing. in this paper, a novel collaborative testing approach named Collaborative Automated Testing Framework (CATF) which meets the requirements of not only automated testing but also collaborative operation is proposed. Through the abstract analysis in terms of extended dynamic dataflow (DDF) model's viewpoint incorporating with UML2.0 profile of MDA, we design the framework with an automated engine working as a Finite State Machine (FSM). Particularly, as a approach to collaborative testing at a system level, CATF is implemented with component modules based on J2EE and verified to be of efficiency.