An Unambiguous Clustering and Ranking of Software Cost Estimation Models by Modified Scott-Knott Approach

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Software
Format: PDF
Software cost estimation can be described as the process of predicting the most realistic effort required to complete a software project. Due to the strong relationship of accurate effort estimations with many crucial project management activities, the research community has been focused on the development and application of a vast variety of methods and models trying to improve the estimation procedure. From the diversity of methods emerged the need for comparisons to determine the best model. In the paper, Scott-Knott test was used to rank and cluster the software estimation models.
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