"基于FitNesse的自动化数据回归测试模型研究"

The paper "Research on Data Regression- Based on FitNesse Automated Regression Testing Model and Tools" explores the importance of software testing in quality assurance engineering and robustness improvement. Automated testing has become a trend in software testing, leading to the development of various automated testing tools. However, early software testing tools often display common shortcomings, such as manual designations. In light of these challenges, the study focuses on the development of a new automated regression testing model and tool based on FitNesse. FitNesse is a popular open-source testing framework that allows for the creation of collaborative tests in a wiki format. The proposed model aims to address the limitations of existing automated testing tools by providing a more efficient and effective way to conduct regression testing. The research methodology involves a comprehensive review of existing literature on software testing and regression testing, as well as an analysis of the current trends in automated testing tools. Based on this review, the study proposes a new automated regression testing model that leverages FitNesse's collaborative testing capabilities. The study also includes a detailed description of the implementation of the proposed model, including the design of test cases, execution of tests, and analysis of results. The results of the implementation demonstrate the effectiveness of the FitNesse-based regression testing model in improving the efficiency and accuracy of software testing. Overall, the research on data regression-based on FitNesse automated regression testing model and tools provides valuable insights into the challenges and opportunities in automated testing. The proposed model offers a practical approach to addressing the limitations of existing testing tools and improving the quality and robustness of software applications.