Analogies and Differences between Machine Learning and Expert Based Software Project Effort Estimation

Abstract

This paper presents a review and comparison of the software project cost estimation methods that have emerged with more impact in recent years; Expertise and Machine Learning methods. These methods and models have been selected according to an own criteria focusing onto Analogy estimation models and Case Based Reasoning approaches, assuming that they are widely utilized by researchers and with good accurate results. Finally we show a comparative analysis of the seven models proposed inside the Machine Learning methods with advantages and disadvantages between them.