Prediction of Software Project Effort Using Linear Regression Model
Keywords:
Software effort, function point, MREAbstract
It is well known fact that predicting software
effort for the software development projects with any
acceptable degree remains challenging. In this paper we have
used the organic software projects because in each case the
projects size lies between 2-50 KLOC. In this paper we have
applied the linear regression model i.e. Effort = -1.5 + 0.1804
FP to predict the software project effort and function point.
After obtaining the software effort, project manager can
arrange the project progress, control the cost and ensures the
quality more accurately.
Downloads
Downloads
Published
Issue
Section
License
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.