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A component recommender for bug reports using Discriminative Probability Latent Semantic Analysis

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What this work says

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

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Triaging incoming change requests: Bug or commit history, or code authorship?
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RECOVERY OF TRACEABILITY LINKS BETWEEN SOFTWARE DOCUMENTATION AND SOURCE CODE
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Coping with an open bug repository
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A discriminative model approach for accurate duplicate bug report retrieval
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Software traceability with topic modeling
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Summarizing software artifacts
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Reducing the effort of bug report triage
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inferredcites →https://doi.org/10.1145/2134254.2134276openalex-snapshot
Automatic categorization of bug reports using latent Dirichlet allocation
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inferredcites →https://doi.org/10.1145/2597073openalex-snapshot
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Assisting bug report triage through recommendation
inferredcites →https://doi.org/10.14288/1.0051726openalex-snapshot
Assisted detection of duplicate bug reports
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Applied Nonparametric Statistical Methods.
inferredcites →https://doi.org/10.3115/1699510.1699543openalex-snapshot
Labeled LDA
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inferredcites →https://doi.org/10.48550/arxiv.1003.0783openalex-snapshot
Supervised Topic Models
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Latent dirichlet allocation
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Latent Dirichlet Allocation

What points at this work

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

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Guidelines for evaluating bug‐assignment research
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Modeling and Simulation of Network Public Opinion Propagation Model Based on Interest Matching in Social Network
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Semantic Categorization of Software Bug Repositories for Severity Assignment Automation
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Software Developer Recommendation in Terms of Reducing Bug Tossing Length
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RASOP: An API Recommendation Method Based on Word Embedding Technology
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Automatically recommending components for issue reports using deep learning
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Topic modeling in software engineering research
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