Software Effort Estimation with Machine Learning – A Systematic Literature Review

This is the authors' abstract. We don't add key points for this paper.

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.