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Test generation from functional requirements in natural language (NL) is often time-consuming and error prone, especially in complex projects. In this context, formal representations like Petri-Nets are increasingly used as input for automated test scenario generation. However, formal representations are not trivial, and it requires a strong knowledge on formal modeling. In this paper we propose an...
Requirements analysis plays a key role in the software development process. Scenario-based representation is often used for software requirements specification (SRS). Scenarios written in natural language may be ambiguous, and, sometimes, inaccurate. This problem is partially due to the fact that interactions among scenarios are rarely represented explicitly. As scenarios are used as input to subsequent...
Scenario-based approaches are often used for Software Requirements Specification (SRS). Since scenarios are usually written in natural language, they may be ambiguous and, sometimes, inaccurate, which impair requirements quality. One of the major factors for this problem is because interactions among scenarios are seldom represented explicitly. As such, the importance of correctness, consistency and...
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...
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