Software Development Effort Estimation Using Feature Selection Techniques
Mohamed Hosni, Idri Ali · Frontiers in artificial intelligence and applications · 2018
Context: Software Development Effort Estimation (SDEE) remains as the most important activity in software project management. Providing accurate estimates at early stages of software life cycle was the subject of a large number of studies for more than four decades. Therefore, different SDEE techniques have been proposed and evaluated. In order to improve the accuracy of the proposed estimation techniques, many researchers investigated different data preprocessing tasks in combination with SDEE techniques, especially Feature Selection (FS).