Jürgen Cito

Jürgen Cito

Assistant Prof. Dipl.-Ing. Dr.sc.

Since Spring 2020, Jürgen Cito is an Assistant Professor in Computer Science at TU Wien, Austria where he leads the IPA Lab (which is part of the Business Informatics Group). He is also a research affiliate at MIT’s Computer Science and Artificial Intelligence Lab (CSAIL). He received his PhD in February 2018 at University of Zurich (Switzerland) where he primarily worked on software runtime analytics. During his PhD, he was also a research intern at IBM Watson Research Center in New York. He received his master’s and bachelor’s degree in Computer Science from the Technical University of Vienna.

Teaching

No.TypeTitleLecturers
188951VUWeb EngineeringGerti Kappel, Jürgen Cito, Michael Schröder
188416PRInformatics Lab (Freifachpraktikum)Christian Huemer, Dominik Bork, Gerti Kappel, Jürgen Cito
188446SEResearch SeminarChristian Huemer, Dominik Bork, Gerti Kappel, Jürgen Cito
188512SELiterature Seminar for PhD StudentsChristian Huemer, Dominik Bork, Gerti Kappel, Jürgen Cito
188926PRBachelor Thesis for Informatics and Business InformaticsChristian Huemer, Dominik Bork, Gerti Kappel, Jürgen Cito
188976PVExclusive Tutorial for PhD StudentsChristian Huemer, Dominik Bork, Gerti Kappel, Jürgen Cito
194074PRProject in Computer Science 1Christian Huemer, Dominik Bork, Gerti Kappel, Jürgen Cito
194075PRProject in Computer Science 2Christian Huemer, Dominik Bork, Gerti Kappel, Jürgen Cito

Publications

Michael Schröder, Jürgen Cito (2022). An Empirical Investigation of Command-Line Customization.

Empirical Software Engineering, 27 (2022), 30.

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Fatjon Zogaj, Jose Pablo Cambronero, Martin Rinard, Jürgen Cito (2021). Doing More with Less: Characterizing Dataset Downsampling for AutoML.

Proceedings of the VLDB Endowment, Volume 14 (2021), 14; 2059 - 2072.

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Micah Smith, Jürgen Cito, Kelvin Lu, Kalyan Veeramachaneni (2021). Enabling Collaborative Data Science Development with the Ballet Framework.

in: “Proceedings of the ACM on Human-Computer Interaction”, Volume 5; J. Nichols (ed.); issued by: Association for Computing Machinery; Acm Dl, New York, 2021, ISSN: 2573-0142, 1 - 39.

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Jürgen Cito, Isil Dillig, Seohyun Kim, Vijayaraghavan Murali, Satish Chandra (2021). Explaining mispredictions of machine learning models using rule induction.

Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Volume 1 (2021), 716 - 727.

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Tamara Brandstätter, Stefan Schulte, Jürgen Cito, Michael Borkowski (2020). Characterizing Efficiency Optimizations in Solidity Smart Contracts (IEEE Best Paper Award).

Talk: 3rd IEEE International Conference on Blockchain (Blockchain 2020) - Online Conference, Rhodes Island, Greece; 11-02-2020 - 11-06-2020; in: “Proceedings of the 3rd IEEE International Conference on Blockchain (Blockchain 2020)", IEEE, (2020), ISBN: 978-0-7381-0496-6; 281 - 290.

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Jose Pablo Cambronero, Jürgen Cito, Martin Rinard (2020). AMS: generating AutoML search spaces from weak specifications.

in: “Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering”, ACM Digital Library, New York, 2020, 763 - 774.

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Jürgen Cito, Jiasi Shen, Martin Rinard (2020). An Empirical Study on the Impact of Deimplicitization on Comprehension in Programs Using Application Frameworks.

in: “Proceedings of the 17th International Conference on Mining Software Repositories”, ACM Digital Library, 2020, 598 - 601.

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Jürgen Cito, Mark Santolucito (2020). Software Engineering for Infrastructure and Configuration (SEConfig) - Workshop Report.

ACM SIGSOFT Software Engineering Notes, ACM SIGSOFT Software Engineering Notes, Volume 45 (2020), 45; 23 - 24.

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Markus Raab, Bernhard Denner, Stefan Hahnenberg, Jürgen Cito (2020). Unified Configuration Setting Access in Configuration Management Systems.

in: “Proceedings of the 28th International Conference on Program Comprehension”, ACM Digital Library, New York, 2020, 331 - 341.

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