Paper Info
Title
Probabilistic size proxy for software effort prediction: A framework
Abstract
Software effort prediction is an important and challenging activity that takes place during the early stages of software development, where costing is needed. Software size estimate is one of the most popular inputs for software effort prediction models. Accordingly, providing a size estimate with good accuracy early in the lifecycle is very important; it is equally challenging too. Estimates that are computed early in the development lifecycle, when it is needed the most, are typically associated with uncertainty. However, none of the prominent software effort prediction techniques or software size metrics addresses this issue satisfactorily. In this paper, we propose a framework for developing probabilistic size proxies for software effort prediction using information from conceptual UML models created early in the software development lifecycle. The framework accounts for uncertainty in software size and effort prediction by providing the estimate as a probability density function instead of a certain value. We conducted a case study using open source datasets and the results were encouraging.
Year
DOI
Venue
2013
10.1016/j.infsof.2012.08.001
Information & Software Technology
Keywords
Field
DocType
software size metrics,effort prediction,software size,software development lifecycle,software development,software effort prediction,probabilistic size proxy,software size estimate,prominent software effort prediction,software effort prediction model,uncertainty
Data mining,Analysis effort method,Computer science,Software,Software development process,Software metric,Putnam model,Software development,Software sizing,Goal-Driven Software Development Process
Journal
Volume
Issue
ISSN
55
2
0950-5849
Citations 
PageRank 
References 
9
0.49
47
Authors
3
Name
Order
Citations
PageRank
Moataz A. Ahmed112110.90
Irfan Ahmad212310.13
Jarallah S. Al Ghamdi3292.70