activity
20142024
most citedTowards Cross-Project Defect Prediction with Imbalanced Feature Sets

54 citations · 90 across the 7 of their papers we have counts for

collaborators

5 papers

cs.SE201610 cited

TDSelector: A Training Data Selection Method for Cross-Project Defect Prediction

Peng He, Yutao Ma, Bing Li

In recent years, cross-project defect prediction (CPDP) attracted much attention and has been validated as a feasible way to address the problem of local data sparsity in newly cre…

cs.IR20155 cited

A Hybrid Approach to Web Service Recommendation Based on QoS-Aware Rating and Ranking

Mingming Chen, Yutao Ma

As the number of Web services with the same or similar functions increases steadily on the Internet, nowadays more and more service consumers pay great attention to the non-functio…

cs.SE201454 cited

Towards Cross-Project Defect Prediction with Imbalanced Feature Sets

Peng He, Bing Li, Yutao Ma

Cross-project defect prediction (CPDP) has been deemed as an emerging technology of software quality assurance, especially in new or inactive projects, and a few improved methods h…

cs.SE20141 cited

An Analysis of Research in Software Engineering: Assessment and Trends

Zhi Wang, Bing Li, Yutao Ma

Glass published the first report on the assessment of systems and software engineering scholars and institutions two decades ago. The ongoing, annual survey of publications in this…

cs.SE201417 cited

Simplification of Training Data for Cross-Project Defect Prediction

Peng He, Bing Li, Deguang Zhang +1

Cross-project defect prediction (CPDP) plays an important role in estimating the most likely defect-prone software components, especially for new or inactive projects. To the best…