基于蚁群算法的MetaHurestic软件测试自动化
Automated Software Testing Using Metahurestic Technique Based on An Ant Colony Optimization
摘要：
软件测试是软件开发生存周期中重要而有价值的一部分。由于时间，成本和其他情况，详尽的测试是不可行的，这就是为什么有必要自动化的软件测试过程。状态转换测试（STT）是实时的、嵌入式的、基于Web的软件系统中常用的测试方法。本文的目的是提出一种算法，通过应用蚁群优化技术，生成最佳和最小的测试序列的行为规格说明的软件。本文提出的方法生成测试序列，以获得完整的软件覆盖率。本文还讨论了基于转换的测试的两种元启发式技术（遗传算法和蚁群优化）之间的比较
英文摘要：
Software testing is an important and valuable part of the software development life cycle. Due to time, cost and other circumstances, exhaustive testing is not feasible that's why there is a need to automate the software testing process. Testing effectiveness can be achieved by the State Transition Testing (STT) which is commonly used in real time, embedded and web-based type of software systems. Aim of the current paper is to present an algorithm by applying an ant colony optimization technique, for generation of optimal and minimal test sequences for behavior specification of software. Present paper approach generates test sequence in order to obtain the complete software coverage. This paper also discusses the comparison between two metaheuristic techniques (Genetic Algorithm and Ant Colony optimization) for transition based testing
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
