NDLI: A Search-Based Approach for Automatic Test Generation from Extended Finite State Machine (EFSM)

Content Provider	IEEE Xplore Digital Library
Author	Kalaji, A. Hierons, R.M. Swift, S.
Copyright Year	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.
Starting Page	131
Ending Page	132
File Size	224878
Page Count	2
File Format	PDF
ISBN	9780769538204
DOI	10.1109/TAICPART.2009.19
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-04
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	System testing Temperature Control systems Power system modeling Model-Based Testing Test Data Generation extended finite state machine Evolutionary Testing Automatic testing Automata Computer industry Communication system traffic control Transition Path (TP) Aerospace safety Search-Based Testing Power generation
Content Type	Text
Resource Type	Article

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A Search-Based Approach for Automatic Test Generation from Extended Finite State Machine (EFSM)