most citedAn Empirical Study on Software Defect Prediction with a Simplified Metric Set

311 citations · 393 across the 5 of their papers we have counts for

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cs.SE2016★ 10 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.SE2014★ 54 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.SE2014★ 1 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.SE2014★ 17 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…

cs.SE2014★ 311 cited

An Empirical Study on Software Defect Prediction with a Simplified Metric Set

Peng He, Bing Li, Xiao Liu +2

Software defect prediction plays a crucial role in estimating the most defect-prone components of software, and a large number of studies have pursued improving prediction accuracy…