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Building knowledge discovery-driven models for decision support in project management [An article from: Decision Support Systems]
Book Details
PublisherElsevier
ISBN / ASINB000RQYF0S
ISBN-13978B000RQYF02
AvailabilityAvailable for download now
Sales Rank10,570,644
MarketplaceUnited States 🇺🇸
Description
This digital document is a journal article from Decision Support Systems, published by Elsevier in 2004. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
Accurate estimations of software size in the early stages of a software project are critical in software project management because they lead to a good planning and reduce project costs. In this work, the relation between early software size measures as the function points and measures of the final product as the lines of code has been studied. A process to refine association rules, based on the generation of unexpected patterns, is proposed. The goal is to generate strong association rules between attributes that can be obtained early in the project and the final software size.
Description:
Accurate estimations of software size in the early stages of a software project are critical in software project management because they lead to a good planning and reduce project costs. In this work, the relation between early software size measures as the function points and measures of the final product as the lines of code has been studied. A process to refine association rules, based on the generation of unexpected patterns, is proposed. The goal is to generate strong association rules between attributes that can be obtained early in the project and the final software size.
