Three empirical studies on predicting software maintainability using ensemble methods

Machine learning approaches for predicting software maintainability: a fuzzy-based transparent model

(2013) Moataz A. Ahmed et al.   IET Software

Object-oriented class maintainability prediction using internal quality attributes

(2013) Jehad Al Dallal   INFORMATION AND SOFTWARE TECHNOLOGY

Empirical Study of Homogeneous and Heterogeneous Ensemble Models for Software Development Effort Estimation

(2013) Mahmoud O. Elish et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

A suite of metrics for quantifying historical changes to predict future change-prone classes in object-oriented software

(2012) Mahmoud O. Elish et al.   Journal of Software-Evolution and Process

Predicting software reliability with neural network ensembles

(2007) Jun Zheng   EXPERT SYSTEMS WITH APPLICATIONS

An efficient modified boosting method for solving classification problems

(2007) Chun-Xia Zhang et al.   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

Software reliability prediction by soft computing techniques

(2007) N. Raj Kiran et al.   JOURNAL OF SYSTEMS AND SOFTWARE