Paper Info
Title
A New Estimation Model for Small Organic Software Project.
Abstract
It is very hard to estimate software development effort accurately. So far, no model has proved to be successful at effectively and consistently estimating software development effort or cost. So it is useful to research a particular model for a particular type of project. A new model for small organic project is proposed for software effort estimation. This model is based on actual project data and well-established theories, using Gauss-Newton model to calibrate the parameters of the COCOMO model, using Fuzzy logic models to maintaining the merits of the COCOMO model. In particular, this model has been successfully used in some small project, and has demonstrated great potential to predict software cost more accurately. © 2013 ACADEMY PUBLISHER.
Year
DOI
Venue
2013
10.4304/jsw.8.9.2218-2222
JSW
Keywords
Field
DocType
constructive cost mode,fuzzy,organic project,small project,software cost estimation,software effort estimation
Data mining,Computer science,Artificial intelligence,Software metric,Software sizing,Software development,Putnam model,Analysis effort method,Industrial engineering,COCOMO,Software verification and validation,Use Case Points,Machine learning
Journal
Volume
Issue
Citations 
8
9
0
PageRank 
References 
Authors
0.34
3
4
Name
Order
Citations
PageRank
Wan-Jiang Han171.07
Tian-Bo Lu2799.60
Xiao-Yan Zhang300.68
Li-Xin Jiang410.68