Incorporating Cost driver substitution to improve the effort using Agile COCOMO II

Author

Litoriya, Ratnesh ; Sharma, Narendra ; Kothari, Abhay

Author_Institution

JJT Univ., Jhunjhunu, India

fYear

2012

fDate

5-7 Sept. 2012

Firstpage

1

Lastpage

7

Abstract

Software development and control involves the use of quantitative software estimation and assessment models that are supported by theory and collected historical project data. Numerous models have been developed in the last years that predict software cost and schedule at an early stage of the development life cycle. In this research paper we have analyzed the behavior of different cost drivers that participates in accurately predicting the cost of any project and substitute it with its near value to show the effective decrease in the required effort using a web based tool Agile COCOMO II.

Keywords

Internet; project management; software cost estimation; software prototyping; Web based tool agile COCOMO II; cost driver substitution; project; quantitative software estimation; software assessment models; software cost prediction; software development; Clustering algorithms; Data mining; Data models; Estimation; Machine learning algorithms; Predictive models; Software; COCOMO; Cost drivers; Effort; Estimation; Weka;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering (CONSEG), 2012 CSI Sixth International Conference on

Conference_Location

Indore

Print_ISBN

978-1-4673-2174-7

Type

conf

DOI

10.1109/CONSEG.2012.6349494

Filename

6349494