APPLICATION OF GENETIC PROGRAMMING IN SOFTWARE ENGINEERING EMPIRICAL DATA MODELLING
Athanasios Tsakonas, Georgios D. Dounias · 2008
Research in software engineering data analysis has only recently incorporated computational intelligence methodologies. Among these approaches, genetic programming retains a remarkable position, facilitating symbolic regression tasks. In this paper, we demonstrate the effectiveness of the genetic programming paradigm, in two major software engineering duties, effort estimation and defect prediction. We examine data domains from both the commercial and the scientific sector, for each task. The proposed model is proved superior to past literature works. 1