Systematic Literature Review of Software Effort Estimation : Research Trends, Methods, and Datasets

Without sufficient effort, the development of a software project will be hindered and may even significantly fail, thus jeopardizing the quality of the software developers. Therefore, Software Effort Estimation (SEE) is a crucial activity in software engineering. One of the most important tasks in software engineering is software effort estimation (SEE). SEE has been the subject of several investigations, which have produced a substantial body of new literature quickly. Determining the primary research topics is essential to get a thorough grasp of the frameworks and trends in Software Effort Estimation (SEE) research today. A systematic literature review (SLR) was utilized in this study as an all-encompassing method to identify and examine every significant research issue in this field. Three research topics were identified from 58 journals, including algorithmic techniques, machine learning implementation, and dataset analysis. The algorithmic techniques and machine learning approaches are the most frequently discussed topics.