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Towards Training Set Reduction for Bug Triage

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-540-24844-6_87openalex-snapshot
Comparison of Instance Selection Algorithms II. Results and Comments
inferredcites →https://doi.org/10.1023/a:1014043630878openalex-snapshot
Advances in Instance Selection for Instance-Based Learning Algorithms
inferredcites →https://doi.org/10.1109/ase.2009.76openalex-snapshot
Reducing Features to Improve Bug Prediction
inferredcites →https://doi.org/10.1109/icse.2007.32openalex-snapshot
Detection of Duplicate Defect Reports Using Natural Language Processing
inferredcites →https://doi.org/10.1109/icsm.2008.4658082openalex-snapshot
Duplicate bug reports considered harmful … really?
inferredcites →https://doi.org/10.1109/icsm.2010.5609736openalex-snapshot
Fine-grained incremental learning and multi-feature tossing graphs to improve bug triaging
inferredcites →https://doi.org/10.1109/msr.2009.5069491openalex-snapshot
Assigning bug reports using a vocabulary-based expertise model of developers
inferredcites →https://doi.org/10.1145/1134285.1134336openalex-snapshot
Who should fix this bug?
inferredcites →https://doi.org/10.1145/1134285.1134457openalex-snapshot
Automating bug report assignment
inferredcites →https://doi.org/10.1145/1368088.1368151openalex-snapshot
An approach to detecting duplicate bug reports using natural language and execution information
inferredcites →https://doi.org/10.1145/1453101.1453146openalex-snapshot
What makes a good bug report?
inferredcites →https://doi.org/10.1145/1595696.1595715openalex-snapshot
Improving bug triage with bug tossing graphs
inferredcites →https://doi.org/10.48550/arxiv.1704.04769openalex-snapshot
Automatic Bug Triage using Semi-Supervised Text Classification

What points at this work

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

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Challenges and opportunities for software change request repositories: a systematic mapping study
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Enhancing Bug Report Assignment with an Optimized Reduction of Training Set
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Enhanced Feature Selection Algorithm for Effective Bug Triage Software
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Bug Triaging Based on Tossing Sequence Modeling
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Towards semi-automated assignment of software change requests
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DECOBA: Utilizing Developers Communities in Bug Assignment
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Principal Component Analysis and Entropy-based Selection for the Improvement of Bug Triage
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Developer prioritization in bug repositories
inferred← citeshttps://doi.org/10.1109/ikt51791.2020.9345611openalex-snapshot
Fast Duplicate Bug Reports Detector Training using Sampling for Dimension Reduction: Using Instance-based Learning for Continous Query in Real-World
inferred← citeshttps://doi.org/10.1109/nkcon56289.2022.10126663openalex-snapshot
Automated Triaging of Gate Run Test Results using Humio Tool
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Dependency-Aware Computation Offloading for Mobile Edge Computing With Edge-Cloud Cooperation
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Towards Effective Bug Triage with Software Data Reduction Techniques
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A Literature Review of Research in Software Defect Reporting
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Characterizing and predicting blocking bugs in open source projects
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EFFECTIVE BUG TRIAGE WITH SOFTWARE DATA REDUCTION TECHNIQUES USING CLUSTERING MECHANISM
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Effective Bug Triage with Software Data Reduction Techniques using Clustering Mechanism
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Efficient Bug Triaging Using Text Mining
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Towards Effective Bug Triage with Towards Effective Bug Triage with Software Data Reduction Techniques
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Developer Prioritization in Bug Repositories
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Effective Bug Triage with Data Reduction
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Using Categorical Features in Mining Bug Tracking Systems to Assign Bug Reports
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Machine Learning or Information Retrieval Techniques for Bug Triaging: Which is better?
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