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Software effort estimation is a key factor for software development project success. Case-based reasoning (CBR), as a viable alternative to analogy methods, has often been used as a reference to calculate effort estimation. Albeit its conceptual simplicity, however, CBR-based effort estimation seems difficult and complex in reality, especially when enhancement on the estimate precision is highly desirable. For an effective and fast estimation, we present in this paper an innovative tool, automated-SEE (software effort estimation), for estimating software development effort using improved CBR. This tool enables the consideration of a comprehensive set of different types of requirements, including both functional requirements (FRs) and non-functional requirements (NFRs), and domain properties (DPs). Application of this tool to 36 (students') projects shows that the resulting software effort estimation is highly reliable.
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