C&L: Generating model based test cases from natural language requirements descriptions
Edgar Sarmiento-Calisaya, Julio César Sampaio do Prado Leite, Eduardo Kinder Almentero · 2014
Software testing tasks are usually time-consuming, especially if one considers complex projects. Requirements engineering artifacts are a valuable starting point for the development of software products, and most of software requirements specifications are written in natural language. This paper presents a tool that implements an approach for generating test cases based on Natural Language (NL) requirements specifications. The C&L tool translates automatically NL requirements descriptions into behavioral models to support automated testing. Our approach is easy to use and aims to decrease the time and the effort with respect to test case generation. Demonstration of the feasibility of the proposed approach is based on an example of use that describes the operation of the C&L tool.