Stephan Lukasczyk

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Stephan is a PhD student advised by Prof. Dr. Gordon Fraser. He works as a research assistant at the Chair of Software Engineering II at the University of Passau since April 2018. Stephan holds a B.Sc. and M.Sc. degree in Computer Science from the University of Passau since 2016 and 2018, respectively.

His research focuses on automated test generation for dynamically-typed programming languages, and on static and dynamic analysis techniques for such languages. Furthermore, he is interested in type systems; in particular type systems and type inference strategies for dynamically-typed languages.

Publications

Journal Articles

  • Stephan Lukasczyk, Florian Kroiß, and Gordon Fraser. “An Empirical Study of Automated Unit Test Generation for Python”. Submitted to the Empirical Software Engineering journal. arXiv 2111.05003.

Conference Proceedings

  • Stephan Lukasczyk and Gordon Fraser. “Pynguin: Automated Unit Test Generation for Python”. Proceedings of the 44th International Conference on Software Engineering Companion (ICSE 2022 Companion, Pittsburgh, PA, USA, May 21–29). pp. 168–172. ACM. 2022. DOI 10.1145/3510454.3516829. arXiv 2202.05218
  • Martin Gruber, Stephan Lukasczyk, Florian Kroiß, and Gordon Fraser. “An Empirical Study of Flaky Tests in Python”. Software Engineering 2022, Fachtagung des GI-Fachbereichs Softwaretechnik (SE 2022, February 21–25). Lecture Notes in Informatics, vol. P-320. pp. 37—38. Gesellschaft für Informatik e.V. 2022. DOI: 10.18420/se2022-ws-009
  • Felix Adler, Gordon Fraser, Eva Gründinger, Nina Körber, Simon Labrenz, Jonas Lerchenberger, Stephan Lukasczyk, and Sebastian Schweikl. “Improving Readability of Scratch Programs with Search-based Refactoring”. Proceedings of the 21st IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2021, virtual, September 27–28). pp. 120–130. IEEE Computer Society. 2021. DOI: 10.1109/SCAM52516.2021.00023. arXiv 2108.07114.
  • Martin Gruber, Stephan Lukasczyk, Florian Kroiß, and Gordon Fraser. “An Empirical Study of Flaky Tests in Python”. Proceedings of the IEEE International Conference on Software Testing, Verification and Validation (ICST 2021, virtual, April 12–16). pp. 148–158. IEEE Computer Society. 2021. DOI: 10.1109/ICST49551.2021.00026. arXiv 2101.09077.
  • Stephan Lukasczyk, Florian Kroiß, and Gordon Fraser. “Automated Unit Test Generation for Python”. Proceedings of the 12th Symposium on Search-Based Software Engineering (SSBSE 2020, Bari, Italy, October 7–8). Lecture Notes in Computer Science, vol. 12420. pp. 9–24. Springer. 2020. DOI: 10.1007/978-3-030-59762-7_2. arXiv 2007.14049. Presentation Recording. The paper received a Best Paper Award at the Symposium.
  • Stephan Lukasczyk. “Generating Tests to Analyse Dynamically-Typed Programs”. Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019, San Diego, CA, USA, November 11-15). pp. 1226–1229. IEEE Computer Society. 2019. DOI: 10.1109/ASE.2019.00146. The version available for download here is a pre-print version.

Publicly Speaking

Theses

Service

  • Invited to Challenge Track PC of SSBSE 2022 (accepted)
  • Invited to Artifact Evaluation Committee of Fuzzing Workshop 2022 (accepted)
  • Student Volunteer at ASE 2021 (virtual conference); awarded with a Certificate of Appreciation from the conference organisers for “Outstanding Service as a Student Volunteer”.
  • Invited to Artifact Evaluation Committee of ISSTA 2021 (accepted)
  • Student Volunteer at ICSE 2021 (virtual conference).
  • Invited to New Ideas and Emerging Results Program Committee of ASE 2020 (declined due to family situation).
  • Invited to Artifact Evaluation Committee of ASE 2020 (accepted but the track was later cancelled due to COVID-19 pandemics).
  • Student Volunteer at ASE 2019 in San Diego, CA, USA.
  • since 2021: Member of the board of the German TeX User Group (DANTE e.V.)
  • 2018–2020: Internal auditor for the German TeX User Group
  • Local Organiser of the 2018 German TeX User Group’s meeting in Passau (German web page)

Software

My main research project is a tool called Pynguin, a framework to automatically generate unit tests for Python programs, which we formally introduced in our 2020 SSBSE paper Automated Unit Test Generation for Python.

Blog

In my blog, I write about more personal things. It is, somehow, a bit like a notebook to me, where I put experiences, things that I have learned, and so on. Some of the things are there as a reference for my future self—things that I was searching for and which I wanted to store for future reference. Feel free to make use of the stuff.

The following list shows the five most recent posts, a full list can be found in the blog category.

  1. Pynguin at Podcast.__init__
  2. Online Teaching in Covid-19 Times
  3. Resetting Applications to Previous Versions on macOS
  4. Accepted Paper “An Empirical Study of Flaky Tests in Python”
  5. Accepted Paper “Automated Unit Test Generation for Python”