Efficient feature extraction model for validation performance improvement of duplicate bug report detection in software bug triage systems

  title={Efficient feature extraction model for validation performance improvement of duplicate bug report detection in software bug triage systems},
  author={Behzad Soleimani Neysiani and Seyed Morteza Babamir and Masayoshi Aritsugi},
  journal={Inf. Softw. Technol.},
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Discrete Island-Based Cuckoo Search with Highly Disruptive Polynomial Mutation and Opposition-Based Learning Strategy for Scheduling of Workflow Applications in Cloud Environments
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Improving Performance of Automatic Duplicate Bug Reports Detection using Longest Common Sequence : Introducing New Textual Features for Textual Similarity Detection
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Duplicate bug report detection with a combination of information retrieval and topic modeling
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Detecting Duplicate Bug Report Using Character N-Gram-Based Features
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DURFEX: A Feature Extraction Technique for Efficient Detection of Duplicate Bug Reports
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Detecting duplicate bug reports with software engineering domain knowledge
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Automated duplicate detection for bug tracking systems
This system uses surface features, textual semantics, and graph clustering to predict duplicate status and is able to reduce development cost by filtering out 8% of duplicate bug reports while allowing at least one report for each real defect to reach developers.
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