Application of Mutual Information-based Sequential Feature Selection to ISBSG Mixed Data
by Marta Fernández-Diego & Fernando González-Ladrón-de-Guevara
There is still little research work focused on feature selection (FS) techniques. This includes both categorical and continuous features in Software Development Effort Estimation (SDEE) literature. This paper addresses the problem of selecting the most relevant features, from ISBSG (International Software Benchmarking Standards Group) dataset, to be used in SDEE.