Efforts Estimation by combining the Use Case Point and COCOMO

  • Nagar C
  • Dixit A
N/ACitations
Citations of this article
29Readers
Mendeley users who have this article in their library.

Abstract

Software efforts estimation is tedious task for everysoftware industry. Many software efforts estimationmodels are invented to make efforts estimationaccurate. Unfortunately no model is suitable for allkind of software industries. This paper used Use Casemethod for efforts estimation for a small softwarecompany. For many projects we have not got goodresults. These papers modify Use Case Point and applyon same project of same company and we have got somebetter result. This paper modify the method Jorgensenhas described 12 expert-based best practices, one ofthe best practices said that combine estimates fromdifferent experts and estimation strategies [2]. It isalways suggested that we must use more than one methodfor estimation, but there is no model is exits whichsupport this concept. This paper combines the Use Casepoint and COCOMO. We are predicting the Line of Codewith the help of Use Cases. Use Case used in the methodmust be more specific not more generalized . Morerecently; the use of Use Cases for software effortestimation has gained wide popularity. Researchers fromacademia as well as industry have shown interest in theUse Case based approaches because of the promisingresults obtained along with their early applicability Astrong monitoring policy is always required to makeestimation as a success . We have to make a check listwith the date of completion and must follow thechecklist. If work is not done on the time somenecessary action must be taken to compensate thedeviation [14].

Cite

CITATION STYLE

APA

Nagar, C., & Dixit, A. (2012). Efforts Estimation by combining the Use Case Point and COCOMO. International Journal of Computer Applications, 52(7), 1–5. https://doi.org/10.5120/8211-1624

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free