Software Effort Estimation Using Adaptive Fuzzy-Neural Approach

Abstract

Abstract-Software effort estimation is an important step in software development. It predicts the amount of effort and development time required to build a software system. It is one of the most important tasks and an accurate estimate is vital to the successful completion of the project. Building software effort estimation requires developing sound computational models. This paper investigates the use of fuzzy-neural systems in estimating software effort. A comparison is made with a radial basis neural network. Results obtained based on the China dataset indicates that a hybrid model that combine fuzzy inferencing with neural networks ability to learn from examples provided more accurate results than using neural networks alone.

Designing a Tool to Estimate Software Projects Based on The Swarm Intelligence

“…Software engineering requires programmatic estimation, which is a crucial part of the planning and management of a software project. Software project estimating is not a fixed science, but rather an organized approach that may demonstrate the accuracy of historical data estimation [3]. One of the most difficult and critical software development activities is active programmatic estimating [4].…”