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Towards building a pragmatic cross-project defect prediction model combining non-effort based and effort-based performance measures for a balanced evaluation

https://doi.org/10.1016/j.infsof.2022.106980

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Choosing software metrics for defect prediction: an investigation on feature selection techniques

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Adaptive Boosting for Transfer Learning Using Dynamic Updates

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On the relative value of cross-company and within-company data for defect prediction

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Evaluating defect prediction approaches: a benchmark and an extensive comparison

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Value-cognitive boosting with a support vector machine for cross-project defect prediction

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Revisiting supervised and unsupervised models for effort-aware just-in-time defect prediction

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A transfer cost-sensitive boosting approach for cross-project defect prediction

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Cross Project Defect Prediction via Balanced Distribution Adaptation Based Transfer Learning

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Iterated feature selection algorithms with layered recurrent neural network for software fault prediction

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Transfer learning for cross-company software defect prediction

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Data gravitation based classification

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Multiple‐components weights model for cross‐project software defect prediction

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A validation of object-oriented design metrics as quality indicators

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Better cross company defect prediction

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Nearest neighbor pattern classification

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Domain Adaptation via Transfer Component Analysis

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Evaluating Stratification Alternatives to Improve Software Defect Prediction

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Using Class Imbalance Learning for Software Defect Prediction

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Cross-Project and Within-Project Semisupervised Software Defect Prediction: A Unified Approach

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Assessing the applicability of fault-proneness models across object-oriented software projects

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Empirical analysis of CK metrics for object-oriented design complexity: implications for software defects

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Empirical validation of object-oriented metrics on open source software for fault prediction

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Predicting the location and number of faults in large software systems

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Data Mining Static Code Attributes to Learn Defect Predictors

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Problems with Precision: A Response to "Comments on 'Data Mining Static Code Attributes to Learn Defect Predictors'"

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Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings

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A Systematic Literature Review on Fault Prediction Performance in Software Engineering

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Researcher Bias: The Use of Machine Learning in Software Defect Prediction

inferredcites →https://doi.org/10.1109/tse.2017.2724538openalex-snapshot

A Comparative Study to Benchmark Cross-Project Defect Prediction Approaches

inferredcites →https://doi.org/10.1109/tse.2017.2770124openalex-snapshot

A Systematic Literature Review and Meta-Analysis on Cross Project Defect Prediction

inferredcites →https://doi.org/10.1109/tse.2018.2790413openalex-snapshot

Correction of “A Comparative Study to Benchmark Cross-Project Defect Prediction Approaches”

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Revisiting Supervised and Unsupervised Methods for Effort-Aware Cross-Project Defect Prediction

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Fuzzy Rule-Based Approach for Software Fault Prediction

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Detecting Novel Associations in Large Data Sets

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ReLink

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Software developers' perceptions of productivity

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How Far We Have Progressed in the Journey? An Examination of Cross-Project Defect Prediction

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SMOTE: Synthetic Minority Over-sampling Technique

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Exploring Predictive Models for Software Maintenance

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The impact of unsupervised feature selection techniques on the performance and interpretation of defect prediction models

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Predictive software maintenance utilizing cross-project data

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On the relative value of clustering techniques for Unsupervised Effort-Aware Defect Prediction

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Perspective on Artisinal and Small-scale gold Mining: Ecological and Socio-economic Inovation

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Improving effort-aware defect prediction by directly learning to rank software modules

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SeDPGK: Semi-supervised software defect prediction with graph representation learning and knowledge distillation

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CfExplainer: Explainable just-in-time defect prediction based on counterfactuals

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Building back greener: Promoting performance in natural resource markets for sustainable development

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The impact of feature selection techniques on effort‐aware defect prediction: An empirical study

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Revisiting ‘revisiting supervised methods for effort‐aware cross‐project defect prediction’

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Multi-Population Quantum-Inspired Feature Selection for Cross-Project Defect Prediction

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Constructor Development: Predicting Object Communication Errors

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Search-based Feature Selection for Cross-Project Fault Prediction

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A Transfer Weighted Homogeneous Ensemble Method for Cross-Project Software Fault Prediction

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Dynamics of Software Defect Prediction: A Systematic Literature Review on Within-Project and Cross-Project Approaches

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