Agile Software Development

15Software Effort Estimation with Machine Learning – A Systematic Literature Review

Ritu^1,2* and Pankaj Bhambri²

¹Department of Computer Science & Engineering, APEX Institute of Technology, Chandigarh University, Mohali, Punjab, India

²Guru Nanak Dev Engineering College, Ludhiana, Punjab, India

Abstract

In 1959 the concept of machine learning techniques and algorithm was introduced by Artur Samuel, an IBmer from the United States who made a name for himself in the fields of computer gaming and artificial intelligence.

The influence of literature reviews which is done systematically (SLRs), which are the preferred techniques and methods for aggregating effort, is examined in this study. We conducted a systematic literature review using the conventional procedure, which included a manual search of nine periodicals and a few conference proceedings. Eight of the twenty studies that were relevant focused on latest trends in research instead of technique evaluation. Seven LRs dealt with the estimation of effort. The SLR’s quality was best suited with only those in which fields are qualitatively checked not quantitatively. SLRs currently cover a large number of topics, but not all of them. Systematic literature reviews appear to be the most popular among researchers from Asia and Europe, particularly those at the Simula Laboratory.

Keywords: Software effort estimation, machine learning, software engineering, software development life cycle (SDLC), software process, software development ...