Open AccessA Data Pre-Processing Method for Software Effort Estimation Using Case-Based Reaso
Author(s) -
Kátia Cristina Borges,
Íris Fabiana de Barcelos Tronto,
Renato de Aquino Lopes,
Josep Silva
Publication year - 2013
Publication title -
clei electronic journal
Language(s) - English
Resource type - Journals
ISSN - 0717-5000
DOI - 10.19153/cleiej.16.3.7
Subject(s) - computer science , software , data mining , bidding , estimation , analogy , data processing , software development , software quality , data quality , systems engineering , engineering , database , business , metric (unit) , philosophy , marketing , operations management , programming language , linguistics
Software effort estimates is an important part of s oftware development work and provides essential input to project feasibility analyses, bi dding, budgeting and planning. Analogy-based estimates models emerge as a promising approach, with comparable accuracy to arithmetic methods, and it is potentially easier to understand and apply. Studies show all the models are sensitive to the quality and availability data, thu s requiring a systematic data treatment. In this paper, it is proposed a data pre-processing method for use in software effort estimate. The results of it on applying on applying Case Based Reasoning - CBR that enables us to enhance the precision of the estimates.
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