2012•Unpublished venueRequires access

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

Ratnesh Litoriya, Narendra Sharma, Abhay Kothari

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.

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OpenAlex reports 21 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Key concepts: COCOMO, Use Case Points, Agile software development, Cost driver, Computer science, Schedule, Software, Software development