Results 41 to 50 of about 16,545 (157)

Manifold embedded distribution adaptation for cross‐project defect prediction [PDF]

IET Software, 2020
Cross‐project defect prediction (CPDP) technology refers to the constructing prediction model to predict the instance label of the target project by utilising labelled data from an external project. The challenge of CPDP methods is the distribution difference between the data from different projects.
Ying Sun 0023, Xiao-Yuan Jing, Fei Wu 0004, Yanfei Sun   +3 more
openaire   +1 more source

Adversarial Learning for Cross-Project Semi-Supervised Defect Prediction

IEEE Access, 2020
Cross-project defect prediction (CPDP) aims to build a prediction model on existing source projects and predict the labels of target project. The data distribution difference between different projects makes CPDP very challenging.
Ying Sun, Xiao-Yuan Jing, Fei Wu, Juanjuan Li, Danlei Xing, Haowen Chen, Yanfei Sun   +6 more
doaj   +1 more source

An Empirical Study on the Effectiveness of Feature Selection for Cross-Project Defect Prediction

IEEE Access, 2019
Software defect prediction has attracted much attention of researchers in software engineering. At present, feature selection approaches have been introduced into software defect prediction, which can improve the performance of traditional defect ...
Qiao Yu, Junyan Qian, Shujuan Jiang, Zhenhua Wu, Gongjie Zhang   +4 more
doaj   +1 more source

Performance Evaluation of Convolutional Neural Network for Multi-Class in Cross Project Defect Prediction

Applied Sciences, 2022
Cross-project defect prediction (CPDP) is a practical approach for finding software defects in projects which have incomplete or fewer data. Improvements to the defect prediction accuracy of CPDP—such as the PROMISE repository, the correct classification
Sundas Noreen, Rizwan Bin Faiz, Sultan Alyahya, Mohamed Maddeh   +3 more
doaj   +1 more source

HDA: Cross-Project Defect Prediction via Heterogeneous Domain Adaptation With Dictionary Learning

IEEE Access, 2018
Cross-Project Defect Prediction (CPDP) is an active topic for predicting defects on projects (target projects) with scarce-labeled data by reusing the classification models from other projects (source projects).
Zhou Xu, Peipei Yuan, Tao Zhang, Yutian Tang, Shuai Li, Zhen Xia   +5 more
doaj   +1 more source

A Comparative Study to Benchmark Cross-Project Defect Prediction Approaches

IEEE Transactions on Software Engineering, 2018
Cross-Project Defect Prediction (CPDP) as a means to focus quality assurance of software projects was under heavy investigation in recent years. However, within the current state-of-the-art it is unclear which of the many proposals performs best due to a lack of replication of results and diverse experiment setups that utilize different performance ...
Steffen Herbold, Alexander Trautsch, Jens Grabowski   +2 more
openaire   +3 more sources

A cross‐project defect prediction method based on multi‐adaptation and nuclear norm

IET Software, 2022
Cross‐project defect prediction (CPDP) is an important research direction in software defect prediction. Traditional CPDP methods based on hand‐crafted features ignore the semantic information in the source code.
Qingan Huang, Le Ma, Siyu Jiang, Guobin Wu, Hengjie Song, Libiao Jiang, Chunyun Zheng   +6 more
doaj   +1 more source

Cross–Project Defect Prediction With Respect To Code Ownership Model: An Empirical Study

e-Informatica Software Engineering Journal, 2015
The paper presents an analysis of 83 versions of industrial, open-source and academic projects. We have empirically evaluated whether those project types constitute separate classes of projects with regard to defect prediction.
Marian Jureczko, Lech Madeyski
doaj   +1 more source

Assessing the impact of crucial feature sets in cross-project for defect prediction employing a hybrid feature selection method

Journal of Intelligent Systems
Cross-project defect prediction is an important method of identifying defects in a project. We extract knowledge from the source project and apply it to predict labels for the target project in cross-project defect prediction.
Gul Sana, Faiz Rizwan Bin, Aljaidi Mohammad, Alshammari Muteb   +3 more
doaj   +1 more source

Correlation feature and instance weights transfer learning for cross project software defect prediction

IET Software, 2021
Due to the differentiation between training and testing data in the feature space, cross‐project defect prediction (CPDP) remains unaddressed within the field of traditional machine learning. Recently, transfer learning has become a research hot‐spot for
Quanyi Zou, Lu Lu, Shaojian Qiu, Xiaowei Gu, Ziyi Cai   +4 more
doaj   +1 more source