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Auflistung nach Autor:in "Trautsch, Alexander"

1 - 4 von 4
  • ConferencePaper
    A Longitudinal Study of Static Analysis Warning Evolution and the Effects of PMD on Software Quality in Apache Open Source Projects
    (Software Engineering 2021, 2021) Trautsch, Alexander; Herbold, Steffen; Grabowski, Jens
    This article summarizes our work originally published in the journal Empirical Software Engineering.
  • ConferencePaper
    On the Feasibility of Automated Prediction of Bug and Non-Bug Issues
    (Software Engineering 2021, 2021) Herbold, Steffen; Trautsch, Alexander; Trautsch, Fabian
    The article "On the feasibility of automated prediction of bug and non-bug issues" published in Empirical Software Engineering in 2020 considers the application of machine learning for the automated classification of issue types, e.g., for research purposes or as a recommendation system. Issue tracking systems are used to track and describe tasks in the development process, e.g., requested feature improvements or reported bugs. However, past research has shown that the reported issue types often do not match the description of the issue. Within our work, we evaluate the state of the art of issue type prediction system can accurately identify bugs. We also investigate if manually specified knowledge can improve such systems. While we found that manually specified knowledge about contents is not useful, respecting structural aspects can be valuable. Our experiments show that issue type prediction system can be trained based on large amounts of unvalidated data and still be sufficiently accurate to be useful. Overall, the misclassifications of the automated system are comparable to the misclassifications made by developers.
  • Konferenzbeitrag
    On the validity of pre-trained transformers for natural language processing in the software engineering domain
    (Software Engineering 2023, 2023) von der Mosel, Julian; Trautsch, Alexander; Herbold, Steffen
    We summarize the article On the validity of pre-trained transformers for natural language processing in the software engineering domain [VTH22], which was published in the IEEE Transactions on Software Engineering in 2022.
  • Konferenzbeitrag
    Problems with with SZZ and Features: An empirical assessment of the state of practice of defect prediction data collection
    (Software Engineering 2023, 2023) Herbold, Steffen; Trautsch, Alexander; Trautsch, Fabian; Ledel, Benjamin
    We summarize the article Problems with with SZZ and Features: An empirical assessment of the state of practice of defect prediction data collection [He22], which was published in Empirical Software Engineering in 2022.