Systematic Literature Review on Software Effort Estimation Using Machine Learning Approaches

Abstract

Accurate effort estimation is amongst the key activities in the software project development. It directly impacts the time and cost of the software projects. This paper presents a systematic literature review of software effort estimation techniques using machine learning. This review presents a discussion about the research trends in machine learning inspired software effort estimation. The results of the systematic review has concluded prominent trends of machine learning approaches, size metrics, benchmark datasets, validation methods etc. used for software effort estimation.