基于搜索的扩展有限状态机(EFSM)测试自动生成方法

A. Kalaji, R. Hierons, S. Swift
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引用次数: 30

摘要

扩展有限状态机是一个功能强大的模型,可以捕获系统的几乎所有方面。然而,由于路径可行性和路径测试数据生成两个主要问题,从EFSM进行测试仍然是一项具有挑战性的任务。虽然优化算法是有效的,但它们在EFSM测试中的应用却很少受到关注。本文的目的是开发一种利用优化算法对EFSM模型进行测试的新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Search-Based Approach for Automatic Test Generation from Extended Finite State Machine (EFSM)
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.
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