Results 31 to 40 of about 15,135,820 (245)

Cross-Project Software Defect Prediction Based on Class Code Similarity

IEEE Access, 2022
Software defect prediction techniques can help software developers find software defects as soon as possible. It can also reduce the cost of software development.
Wanzhi Wen, Chenqiang Shen, Xiaohong Lu, Zhixian Li, Haoren Wang, Ruinian Zhang, Ningbo Zhu   +6 more
doaj   +1 more source

A systematic literature review on cross-project defect prediction [PDF]

, 2016
Background: Cross-project defect prediction, which provides feasibility to build defect prediction models in the case of lack of local data repositories, have been gaining attention within research community recently.
Gunarathna, Dimuthu
core   +1 more source

Evaluating Data Filter on Cross-Project Defect Prediction: Comparison and Improvements

IEEE Access, 2017
Cross-project defect prediction (CPDP) is a field of study where a software project lacking enough local data can use data from other projects to build defect predictors.
Yong Li, Zhiqiu Huang, Yong Wang, Bingwu Fang   +3 more
doaj   +1 more source

Early Software Defects Density Prediction: Training the International Software Benchmarking Cross Projects Data Using Supervised Learning

IEEE Access, 2023
Recent reviews of the literature indicate the need for empirical studies on cross-project defect prediction (CPDP) that would allow aggregation of the evidence and improve predictive performance.
Touseef Tahir, Cigdem Gencel, Ghulam Rasool, Tariq Umer, Jawad Rasheed, Sook Fern Yeo, Taner Cevik   +6 more
doaj   +1 more source

DeepCPDP: Deep Learning Based Cross-Project Defect Prediction

IEEE Access, 2019
Cross-project defect prediction (CPDP) is an active research topic in the domain of software defect prediction, since CPDP can be applied to the following scenarios: the target project for software defect prediction is a new project or the target project
Deyu Chen, Xiang Chen, Hao Li, Junfeng Xie, Yanzhou Mu   +4 more
doaj   +1 more source

MSCPDPLab: A MATLAB toolbox for transfer learning based multi-source cross-project defect prediction

SoftwareX, 2023
Software defect prediction (SDP) plays an important role in allocating testing resources and improving testing efficiency. Multi-source cross-project defect prediction (MSCPDP) based on transfer learning refers to transferring defect knowledge from ...
Jiaqi Zou, Zonghao Li, Xuanying Liu, Haonan Tong   +3 more
doaj   +1 more source

Cross-project defect prediction using data sampling for class imbalance learning: an empirical study

, 2019
The presence of defect data related to different projects leads to cross-project defect prediction an open issue in the field of research in software engineering. In cross-project defect prediction, the source and the target projects are different.
D. Damodaran (7144391), Lipika Goel (7144385), Sunil Kumar Khatri (7144388), Mayank Sharma (5769539)   +3 more
core   +1 more source

Towards Design and Feasibility Analysis of DePaaS: AI Based Global Unified Software Defect Prediction Framework

Applied Sciences, 2022
Using artificial intelligence (AI) based software defect prediction (SDP) techniques in the software development process helps isolate defective software modules, count the number of software defects, and identify risky code changes.
Mahesha Pandit, Deepali Gupta, Divya Anand, Nitin Goyal, Hani Moaiteq Aljahdali, Arturo Ortega Mansilla, Seifedine Kadry, Arun Kumar   +7 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

The heterodimeric amino acid transporters (HAT) of the SLC7/SLC3 family: A structure−function relationships and relevance to human pathology

FEBS Letters, EarlyView.
Heterodimeric amino acid transporters consist of SLC7 and SLC3 family proteins arranged in a conserved structural organization. They regulate nutrient transport across cell membranes, supporting essential cellular functions. These transporters also contribute to xenobiotic/drug uptake and distribution.
Mariafrancesca Scalise, Tiziano Mazza, Raffaella Scanga, Lara Console, Michele Galluccio, Cesare Indiveri   +5 more
wiley   +1 more source