Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/4059
Title: | A search-based approach for automatic test generation from extended finite state machine (EFSM) |
Authors: | Kalaji, AS Hierons, RM Swift, S |
Keywords: | Evolutionary testing;Model-based testing;Search-based testing;Test data generation;Transition path (TP);Extended finite state machine |
Issue Date: | 2009 |
Publisher: | IEEE |
Citation: | Testing: Academic and Industrial Conference - Practice and Research Techniques (TAIC PART '09), Windsor, pp. 131-132, Sep 2009 |
Abstract: | The extended finite state machine is a powerful model that can capture almost all the aspects of a system. However, testing from an EFSM is yet a challenging task due to two main problems: path feasibility and path test data generation. Although optimization algorithms are efficient, their applications to EFSM testing have received very little attention. The aim of this paper is to develop a novel approach that utilizes optimization algorithms to test from EFSM models. |
URI: | http://bura.brunel.ac.uk/handle/2438/4059 |
DOI: | http://dx.doi.org/10.1109/TAICPART.2009.19 |
Appears in Collections: | Computer Science Dept of Computer Science Research Papers Software Engineering (B-SERC) |
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Fulltext.pdf | 219.67 kB | Adobe PDF | View/Open |
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