Rapid application development
Software Cost Estimation with Cocomo II with Cdrom
Software Cost Estimation with Cocomo II with Cdrom
Software Development Effort Estimation Using Fuzzy Logic: A Case Study
ENC '05 Proceedings of the Sixth Mexican International Conference on Computer Science
Journal of Management Information Systems
Improving the COCOMO model using a neuro-fuzzy approach
Applied Soft Computing
Predictive accuracy comparison of fuzzy models for software development effort of small programs
Journal of Systems and Software
A new calibration for Function Point complexity weights
Information and Software Technology
An empirical validation of a neural network model for software effort estimation
Expert Systems with Applications: An International Journal
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Estimating software development effort is an important task in the management of large software projects. The task is challenging, and it has been receiving the attentions of researchers ever since software was developed for commercial purpose. A number of estimation models exist for effort prediction. However, there is a need for novel models to obtain more accurate estimations. The primary purpose of this study is to propose a precise method of estimation by selecting the most popular models in order to improve accuracy. Consequently, the final results are very precise and reliable when they are applied to a real dataset in a software project. Empirical validation of this approach uses the International Software Benchmarking Standards Group (ISBSG) Data Repository Version 10 to demonstrate the improvement in software estimation accuracy.