Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …

随着软件规模的扩大和复杂度的不断提高, 软件的质量问题成为关注的焦点,
软件缺陷是软件质量的对立面, 威胁着软件质量, 如何在软件开发的早期挖掘出缺陷模块成为 …

Background. Recent years have seen an increasing interest in cross-project defect
prediction (CPDP), which aims to apply defect prediction models built on source projects to a …

Software defect prediction (SDP) is very helpful for optimizing the resource allocation of
software testing and improving the quality of software products. The cross-project defect …

Abstract Cross-Company Churn Prediction (CCCP) is a domain of research where one
company (target) is lacking enough data and can use data from another company (source) …

Customer churn is one of the most critical issues faced by the telecommunication industry
(TCI). Researchers and analysts leverage customer relationship management (CRM) data …

Software defect prediction aims at helping developers allocate existing resources by
predicting defect-prone modules prior to the testing phase. In the past decade, cross-project …

Background. Self-admitted technical debt (SATD) is a special kind of technical debt that is
intentionally introduced and remarked by code comments. Those technical debts reduce the …

Cross-project defect prediction (CPDP) uses the labeled data from external source software
projects to compensate the shortage of useful data in the target project, in order to build a …

This study proposes to address the economic significance of unpaid taxes by using an
automatic system for predicting a tax default. Too little attention has been paid to tax default …