文章基本信息

标题：A Tool for Automated Test Data Generation (and Execution) Based on Combinatorial Approach
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作者：Kamal Zuhairi Zamli ; Nor Ashidi Mat Isa ; Mohamed Fadel Jamil Klaib 等
期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2007
卷号：1
期号：1
出版社：SERSC
摘要：Covering as much as 40 to 50 percent of the development costs and resources, software testing is an integral part of the software development lifecycle. Despite its importance, current software testing practice lacks automation and is still primarily based on highly manual processes from the generation of test cases (i.e. from the specifications documents) up to the actual execution of the test. These manually generated tests are sometimes executed using ad hoc approach, typically requiring the construction of a test driver for the particular application under test. The construction of a test driver is tedious, error prone, and cumbersome process, as it puts extra burden to test engineers. In addition, test engineers are also under pressure to test increasing lines of code in order to meet market demands and deadlines for more software functionalities. To attain the required level of quality and maintain acceptable test coverage, test engineers need to consider a significantly large number of test cases. Many combinations of possible input parameters, hardware/software environments, and system conditions need to be tested and verified against for conformance based on the system’s specification. Often, this results into combinatorial explosion of test cases. Addressing some of the aforementioned issues, this paper describes a new automated and combinatorial software testing tool, called JTst, based on the use of Java technology. The main novel features of JTst are the fact that it permits combinatorial test data generation and automated concurrent execution, enabling higher product quality at lower testing costs.