Cross-project defect prediction: a literature review
S Pal, A Sillitti - IEEE access, 2022 - ieeexplore.ieee.org
Background: Software defect prediction models aim at identifying the potential faulty
modules of a software project based on historical data collected from previous versions of …
modules of a software project based on historical data collected from previous versions of …
Cross project defect prediction: a comprehensive survey with its SWOT analysis
Software fault prediction (SFP) refers to the process of identifying (or predicting) faulty
modules based on its characteristics/software metrics. SFP can be done either using the …
modules based on its characteristics/software metrics. SFP can be done either using the …
Software defect prediction with semantic and structural information of codes based on graph neural networks
C Zhou, P He, C Zeng, J Ma - Information and Software Technology, 2022 - Elsevier
Context: Most defect prediction methods consider a series of traditional manually designed
static code metrics. However, only using these hand-crafted features is impractical. Some …
static code metrics. However, only using these hand-crafted features is impractical. Some …
A comprehensive comparative study of clustering-based unsupervised defect prediction models
Software defect prediction recommends the most defect-prone software modules for
optimization of the test resource allocation. The limitation of the extensively-studied …
optimization of the test resource allocation. The limitation of the extensively-studied …
How far does the predictive decision impact the software project? The cost, service time, and failure analysis from a cross-project defect prediction model
Context: Cross-project defect prediction (CPDP) models are being developed to optimise the
testing resources. Objectives: Proposing an ensemble classification framework for CPDP as …
testing resources. Objectives: Proposing an ensemble classification framework for CPDP as …
Cross-project defect prediction based on G-LSTM model
Y Xing, X Qian, Y Guan, B Yang, Y Zhang - Pattern Recognition Letters, 2022 - Elsevier
Cross-project defect prediction (CPDP) is currently a hot research direction in the field of
software reliability. Traditional CPDP methods cannot capture the semantic and contextual …
software reliability. Traditional CPDP methods cannot capture the semantic and contextual …
Joint feature representation learning and progressive distribution matching for cross-project defect prediction
Abstract Context: Cross-Project Defect Prediction (CPDP) aims to leverage the knowledge
from label-rich source software projects to promote tasks in a label-poor target software …
from label-rich source software projects to promote tasks in a label-poor target software …
ST-TLF: Cross-version defect prediction framework based transfer learning
Context: Cross-version defect prediction (CVDP) is a practical scenario in which defect
prediction models are derived from defect data of historical versions to predict potential …
prediction models are derived from defect data of historical versions to predict potential …
Effort-aware just-in-time bug prediction for mobile apps via cross-triplet deep feature embedding
Just-in-time (JIT) bug prediction is an effective quality assurance activity that identifies
whether a code commit will introduce bugs into the mobile app, aiming to provide prompt …
whether a code commit will introduce bugs into the mobile app, aiming to provide prompt …
Semantic feature learning via dual sequences for defect prediction
J Lin, L Lu - IEEE Access, 2021 - ieeexplore.ieee.org
Software defect prediction (SDP) can help developers reasonably allocate limited resources
for locating bugs and prioritizing their testing efforts. Existing methods often serialize an …
for locating bugs and prioritizing their testing efforts. Existing methods often serialize an …