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Enhancing Software Defect Prediction: Exploring the Predictive Power of Two Data Flow Metrics
Data flow coverage criteria find extensive application in software testing, yet scant research exists regarding low-level data flow metrics as...
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Cross-version defect prediction: use historical data, cross-project data, or both?
ContextAlthough a long-running project has experienced many releases, removing defects from a product is still a challenge. Cross-version defect...
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Deployment and performance monitoring of docker based federated learning framework for software defect prediction
There are significant challenges in machine learning models due to information security and data privacy issues. In traditional machine learning...
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Cross Project Defect Prediction via Balanced Distribution Adaptation Based Transfer Learning
Defect prediction assists the rational allocation of testing resources by detecting the potentially defective software modules before releasing...
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Does class size matter? An in-depth assessment of the effect of class size in software defect prediction
In the past 20 years, defect prediction studies have generally acknowledged the effect of class size on software prediction performance. To quantify...
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Cross project defect prediction for open source software
Software defect prediction is the process of identification of defects early in the life cycle so as to optimize the testing resources and reduce...
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Cross-dataset heterogeneous adaptation learning based facial attributes estimation
Recently, human facial attributes analysis has become an important research topic in the field of pattern recognition and computer vision. In fact,...
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On the assessment of software defect prediction models via ROC curves
Software defect prediction models are classifiers often built by setting a threshold t on a defect proneness model, i.e., a scoring function. For...
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Cross-project bug type prediction based on transfer learning
The prediction of bug types provides useful insights into the software maintenance process. It can improve the efficiency of software testing and...
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How do developers collaborate? Investigating GitHub heterogeneous networks
Assessing the collaboration among developers is important to understand different aspects of software lifecycle including code smell intensity, bug...
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Training Data Selection Using Ensemble Dataset Approach for Software Defect Prediction
Cross-project defect prediction (CPDP) is using due to the limitation of within project defect prediction (WPDP) in Software Defect Prediction (SDP)...
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Data quality issues in software fault prediction: a systematic literature review
Software fault prediction (SFP) aims to improve software quality with a possible minimum cost and time. Various machine learning models have been...
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Heterogeneous defect prediction with two-stage ensemble learning
Heterogeneous defect prediction (HDP) refers to predicting defect-prone software modules in one project (target) using heterogeneous data collected...
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Defect prediction model of static code features for cross-company and cross-project software
Software project metrics are seen needless in software industries but they are useful when some unacceptable situations come in the project...
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On the need of preserving order of data when validating within-project defect classifiers
We are in the shoes of a practitioner who uses previous project releases’ data to predict which classes of the current release are defect-prone. In...
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Improved prediction of software defects using ensemble machine learning techniques
Software testing process is a crucial part in software development. Generally the errors made by developers get fixed at a later stage of the...
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Evaluation of Sampling-Based Ensembles of Classifiers on Imbalanced Data for Software Defect Prediction Problems
Defect prediction in software projects plays a crucial role to reduce quality-based risk and increase the capability of detecting faulty program...
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Semi-Siamese Network for Robust Change Detection Across Different Domains with Applications to 3D Printing
Automatic defect detection for 3D printing processes, which shares many characteristics with change detection problems, is a vital step for quality...
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Traffic State Analysis and Prediction Technology
The complete acquisition, accurate real-time evaluation, and prediction of urban road traffic state are the basis for accurately gras** the...
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An improved text classification modelling approach to identify security messages in heterogeneous projects
Security remains under-addressed in many organisations, illustrated by the number of large-scale software security breaches. Preventing breaches can...
