Search Results - "Trautsch, Alexander"

A Comparative Study to Benchmark Cross-Project Defect Prediction Approaches by Herbold, Steffen, Trautsch, Alexander, Grabowski, Jens

“…Cross-Project Defect Prediction (CPDP) as a means to focus quality assurance of software projects was under heavy investigation in recent years. However,…”
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A longitudinal study of static analysis warning evolution and the effects of PMD on software quality in Apache open source projects by Trautsch, Alexander, Herbold, Steffen, Grabowski, Jens

“…Automated static analysis tools (ASATs) have become a major part of the software development workflow. Acting on the generated warnings, i.e., changing the…”
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A large-scale comparison of human-written versus ChatGPT-generated essays by Herbold, Steffen, Hautli-Janisz, Annette, Heuer, Ute, Kikteva, Zlata, Trautsch, Alexander

“…ChatGPT and similar generative AI models have attracted hundreds of millions of users and have become part of the public discourse. Many believe that such…”
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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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On the feasibility of automated prediction of bug and non-bug issues by Herbold, Steffen, Trautsch, Alexander, Trautsch, Fabian

“…Context Issue tracking systems are used to track and describe tasks in the development process, e.g., requested feature improvements or reported bugs. However,…”
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Correction of "A Comparative Study to Benchmark Cross-Project Defect Prediction Approaches" by Herbold, Steffen, Trautsch, Alexander, Grabowski, Jens

“…Unfortunately, the article “A Comparative Study to Benchmark Cross-project Defect Prediction Approaches” has a problem in the statistical analysis which was…”
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Correction to: On the feasibility of automated prediction of bug and non-bug issues by Herbold, Steffen, Trautsch, Alexander, Trautsch, Fabian

“…The original version of this article unfortunately contained mistakes. Figures 8, 9 and 10 were incorrectly captured. Somehow, the plots in Fig. 8 were…”
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Global vs. local models for cross-project defect prediction: A replication study by Herbold, Steffen, Trautsch, Alexander, Grabowski, Jens

“…Although researchers invested significant effort, the performance of defect prediction in a cross-project setting, i.e., with data that does not come from the…”
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On the Validity of Pre-Trained Transformers for Natural Language Processing in the Software Engineering Domain by von der Mosel, Julian, Trautsch, Alexander, Herbold, Steffen

“…Transformers are the current state-of-the-art of natural language processing in many domains and are using traction within software engineering research as…”
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Are automated static analysis tools worth it? An investigation into relative warning density and external software quality on the example of Apache open source projects by Trautsch, Alexander, Herbold, Steffen, Grabowski, Jens

“…Automated Static Analysis Tools (ASATs) are part of software development best practices. ASATs are able to warn developers about potential problems in the…”
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What really changes when developers intend to improve their source code: a commit-level study of static metric value and static analysis warning changes by Trautsch, Alexander, Erbel, Johannes, Herbold, Steffen, Grabowski, Jens

“…Many software metrics are designed to measure aspects that are believed to be related to software quality. Static software metrics, e.g., size, complexity and…”
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A comparative study to benchmark cross-project defect prediction approaches by Herbold, Steffen, Trautsch, Alexander, Grabowski, Jens

“…Cross-Project Defect Prediction (CPDP) as a means to focus quality assurance of software projects was under heavy investigation in recent years. However,…”
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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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Global vs. local models for cross-project defect prediction by Herbold, Steffen, Trautsch, Alexander, Grabowski, Jens

“…Although researchers invested significant effort, the performance of defect prediction in a cross-project setting, i.e., with data that does not come from the…”
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A fine-grained data set and analysis of tangling in bug fixing commits by Herbold, Steffen, Trautsch, Alexander, Ledel, Benjamin, Aghamohammadi, Alireza, Ghaleb, Taher A., Chahal, Kuljit Kaur, Bossenmaier, Tim, Nagaria, Bhaveet, Makedonski, Philip, Ahmadabadi, Matin Nili, Szabados, Kristof, Spieker, Helge, Madeja, Matej, Hoy, Nathaniel, Lenarduzzi, Valentina, Wang, Shangwen, Rodríguez-Pérez, Gema, Colomo-Palacios, Ricardo, Verdecchia, Roberto, Singh, Paramvir, Qin, Yihao, Chakroborti, Debasish, Davis, Willard, Walunj, Vijay, Wu, Hongjun, Marcilio, Diego, Alam, Omar, Aldaeej, Abdullah, Amit, Idan, Turhan, Burak, Eismann, Simon, Wickert, Anna-Katharina, Malavolta, Ivano, Sulír, Matúš, Fard, Fatemeh, Henley, Austin Z., Kourtzanidis, Stratos, Tuzun, Eray, Treude, Christoph, Shamasbi, Simin Maleki, Pashchenko, Ivan, Wyrich, Marvin, Davis, James, Serebrenik, Alexander, Albrecht, Ella, Aktas, Ethem Utku, Strüber, Daniel, Erbel, Johannes

“…Context Tangled commits are changes to software that address multiple concerns at once. For researchers interested in bugs, tangled commits mean that they…”
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Predicting Issue Types with seBERT by Trautsch, Alexander, Herbold, Steffen

“…Pre-trained transformer models are the current state-of-the-art for natural language models processing. seBERT is such a model, that was developed based on the…”
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Effects of Automated Static Analysis Tools: A Multidimensional View on Quality Evolution by Trautsch, Alexander

“…Leveraging and acting on the results of static analysis is a well-known best practice. Static analysis also is an integral part of software quality assurance…”
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Predicting Issue Types with seBERT by Trautsch, Alexander, Herbold, Steffen

“…Pre-trained transformer models are the current state-of-the-art for natural language models processing. seBERT is such a model, that was developed based on the…”
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Static source code metrics and static analysis warnings for fine-grained just-in-time defect prediction by Trautsch, Alexander, Herbold, Steffen, Grabowski, Jens

“…Software quality evolution and predictive models to support decisions about resource distribution in software quality assurance tasks are an important part of…”
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Large Language Models can impersonate politicians and other public figures by Herbold, Steffen, Trautsch, Alexander, Kikteva, Zlata, Hautli-Janisz, Annette

“…Modern AI technology like Large language models (LLMs) has the potential to pollute the public information sphere with made-up content, which poses a…”
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