Results 21 to 30 of about 15,135,820 (245)
Heterogeneous Cross-Project Defect Prediction via Optimal Transport
IEEE Access, 2023 Heterogeneous cross-project defect prediction (HCPDP) aims to learn a prediction model from a heterogeneous source project and then apply the model to a target project.
Xing Zong +5 more
doaj +1 more source
Software Defect Association Mining and Defect Correction Effort Prediction [PDF]
, 2006 Much current software defect prediction work concentrates on the number of defects remaining in software system. In this paper, we present association rule mining based methods to predict defect associations and defect-correction effort.
Mair, C +6 more
core +1 more source
Researcher bias: The use of machine learning in software defect prediction [PDF]
, 2014 This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2014 IEEE. Personal use of this material is permitted.
Bowes, David +5 more
core +1 more source
A general software defect-proneness prediction framework [PDF]
, 2011 This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2011 IEEE. Personal use of this material is permitted.
Jin Liu +9 more
core +1 more source
Large Defect Prediction Benchmark
, 2022 This is a collection of defect datasets for the software engineering research community. This collection is from 8 corpus as follows: AEEEM-defect-dataset: M. D’Ambros, M. Lanza, and R. Robbes, “Evaluating defect prediction approaches: A benchmark and
Chakkrit (Kla) Tantithamthavorn
core +1 more source
SODALITE-EU/defect-prediction: M30Release of Defect Predictor
, 2021 This is M30Release of defect prediction support for TOSCA and ...
IndikaKuma +4 more
core +1 more source
Multi-Source Heterogeneous Kernel Mapping in Software Defect Prediction
Applied Sciences, 2023 Heterogeneous defect prediction (HDP) is a significant research topic in cross-project defect prediction (CPDP), due to the inconsistency of metrics used between source and target projects.
Jingxiu Yao, Bin Liu, Yumei Wu, Zhibo Li
doaj +1 more source
Cross‐project defect prediction method based on genetic algorithm feature selection
Engineering Reports, 2023 With the continuous development of Internet technology, the role of software in life is increasing, and software defect prediction (SDP) is a key means to ensure software reliability.
Zhixi Hu, Yi Zhu
doaj +1 more source
Revisiting ‘revisiting supervised methods for effort‐aware cross‐project defect prediction’
IET Software, 2023 Effort‐aware cross‐project defect prediction (EACPDP), which uses cross‐project software modules to build a model to rank within‐project software modules based on the defect density, has been suggested to allocate limited testing resource efficiently ...
Fuyang Li +5 more
doaj +1 more source
SODALITE-EU/defect-prediction: M24Release of Defect Predictor
, 2021 <p>This is M24Release of defect prediction support for TOSCA and Ansible.</p ...
IndikaKuma +5 more
core +1 more source