Search Results - "Ledel, Benjamin"

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  1. 1

    Problems with SZZ and features: An empirical study of the state of practice of defect prediction data collection by Herbold, Steffen, Trautsch, Alexander, Trautsch, Fabian, Ledel, Benjamin

    “…Context The SZZ algorithm is the de facto standard for labeling bug fixing commits and finding inducing changes for defect prediction data. Recent research…”
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    Journal Article
  2. 2

    Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP by Schulte, Lukas, Ledel, Benjamin, Herbold, Steffen

    “…Context The identification of bugs within issues reported to an issue tracking system is crucial for triage. Machine learning models have shown promising…”
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    Journal Article
  3. 3

    The SmartSHARK Ecosystem for Software Repository Mining by Trautsch, Alexander, Trautsch, Fabian, Herbold, Steffen, Ledel, Benjamin, Grabowski, Jens

    “…Software repository mining is the foundation for many empirical software engineering studies. The collection and analysis of detailed data can be challenging,…”
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    Conference Proceeding
  4. 4
  5. 5

    Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP by Ledel, Benjamin, Herbold, Steffen

    Published 15-09-2022
    “…Context: The identification of bugs within the reported issues in an issue tracker is crucial for the triage of issues. Machine learning models have shown…”
    Get full text
    Journal Article
  6. 6

    Broccoli: Bug localization with the help of text search engines by Ledel, Benjamin, Herbold, Steffen

    Published 24-09-2021
    “…Bug localization is a tedious activity in the bug fixing process in which a software developer tries to locate bugs in the source code described in a bug…”
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    Journal Article
  7. 7

    Large-Scale Manual Validation of Bugfixing Changes by Herbold, Steffen, Trautsch, Alexander, Ledel, Benjamin

    “…Context: Accurate data about bug fixes is important for different venues of research, e.g., program repair. While automated procedures are able to identify bug…”
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    Conference Proceeding
  8. 8

    Problems with SZZ and Features: An empirical study of the state of practice of defect prediction data collection by Herbold, Steffen, Trautsch, Alexander, Trautsch, Fabian, Ledel, Benjamin

    Published 11-11-2021
    “…Context: The SZZ algorithm is the de facto standard for labeling bug fixing commits and finding inducing changes for defect prediction data. Recent research…”
    Get full text
    Journal Article
  9. 9

    The SmartSHARK Ecosystem for Software Repository Mining by Trautsch, Alexander, Trautsch, Fabian, Herbold, Steffen, Ledel, Benjamin, Grabowski, Jens

    Published 06-01-2020
    “…Software repository mining is the foundation for many empirical software engineering studies. The collection and analysis of detailed data can be challenging,…”
    Get full text
    Journal Article
  10. 10