Software Effort Estimation Inspired by COCOMO and FP Models: A Fuzzy Logic Approach

  • F. A
  • Aljahdali S
N/ACitations
Citations of this article
27Readers
Mendeley users who have this article in their library.

Abstract

Budgeting, bidding and planning of software project<br />effort, time and cost are essential elements of any<br />software development process. Massive size and<br />complexity of now a day produced software systems cause<br />a substantial risk for the development process.<br />Inadequate and inefficient information about the size<br />and complexity results in an ambiguous estimates that<br />cause many losses. Project managers cannot adequately<br />provide good estimate for both the effort and time<br />needed. Thus, no clear release day to the market can be<br />defined. This paper presents two new models for<br />software effort estimation using fuzzy logic. One model<br />is developed based on the famous COnstructive COst<br />Model (COCOMO) and utilizes the Source Line Of Code<br />(SLOC) as input variable to estimate the Effort (E);<br />while the second model utilize the Inputs, Outputs,<br />Files, and User Inquiries to estimate the Function<br />Point (FP). The proposed fuzzy models show better<br />estimation capabilities compared to other reported<br />models in the literature and better assist the project<br />manager in computing the software required development<br />effort. The validation results are carried out using<br />Albrecht data set.

Cite

CITATION STYLE

APA

F., A., & Aljahdali, S. (2013). Software Effort Estimation Inspired by COCOMO and FP Models: A Fuzzy Logic Approach. International Journal of Advanced Computer Science and Applications, 4(11). https://doi.org/10.14569/ijacsa.2013.041127

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