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.
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