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Xhulja Shahini

Xhulja Shahini studierte Computer Engineering (Bachelor of Science) an der Epoka-Universät in Albanien und Computer Science (Master of Science) an der Universität Bonn in Deutschland. Von Mai 2019 bis Juli 2020 war sie als Wissenschaftliche Mitarbeiterin im Bereich Applied Machine Learning tätig, wo sie ihr Interesse an der Forschung entdeckte. Im weiteren Verlauf des Jahres 2020 nahm sie die Arbeit als Doktorandin für die “Software Systems Engineering” Arbeitsgruppe an der Universität Duisburg-Essen auf, um ihr Wissen in den folgenden Bereichen weiter zu vertiefen:

  • Machine Learning with Big Data 
  • Explainable Artificial Intelligence 
  • Software fault prediction

Publikationen

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  • Xhulja Shahini, Jone Bartel and Klaus Pohl: On the calibration of Just-in-time Defect Prediction. In: MSR , IEEE , 2025 , 14-26.  
  • Xhulja Shahini, Andreas Metzger and Klaus Pohl: An Empirical Study on Just-in-time Conformal Defect Prediction. In: Diomidis Spinellis, Alberto Bacchelli and Eleni Constantinou (eds.): 21st IEEE/ACM International Conference on Mining Software Repositories, MSR 2024, Lisbon, Portugal, April 15-16, 2024 , ACM , 2024 , 88-99.   [DOI]
  • Xhulja Shahini, Domenic Bubel and Andreas Metzger: Variance of ML-based software fault predictors: are we really improving fault prediction?. In: Rick Rabiser, Manuel Wimmer, Iris Groher, Andreas Wortmann and Bianca Wiesmayr (eds.): Software Engineering 2024, Fachtagung des GI-Fachbereichs Softwaretechnik, Linz, Austria, February 26 - March 1, 2024 , Volume P-343 of LNI , Gesellschaft für Informatik e.V. , 2024 , 89-90.   [DOI]
  • Xhulja Shahini, Domenic Bubel and Andreas Metzger: Variance of ML-based software fault predictors: are we really improving fault prediction?. In: 49th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2023, Durres, Albania, September 6-8, 2023 , IEEE , 2023 , 78-85.   [DOI]
  • Andreu Belsa Pellicer, Matilde Julián Segui, Achilleas Marinakis, Anastasios Nikolakopoulos, Vrettos Moulos, Héctor Iturria, José Antonio Clemente, Xhulja Shahini, Tristan Kley, Andreas Metzger, Miguel Bravo, Paolo Calciati, Christos-Antonios Gizelis, Filippos Nikolopoulos-Gkamatsis, Konstantinos Nestorakis, Ignacio Lacalle, Carlos Enrique Palau and Santiago Cáceres: Design of a Next-Generation Interoperable Cognitive Port Solution. In: Aurora González-Vidal, Ahmed Mohamed Abdelgawad, Essaid Sabir, Sébastien Ziegler and Latif Ladid (eds.): Internet of Things - 5th The Global IoT Summit, GIoTS 2022, Dublin, Ireland, June 20-23, 2022, Revised Selected Papers , Volume 13533 of Lecture Notes in Computer Science , Springer , 2022 , 149-160.   [DOI]
  • Afshin Sadeghi, Xhulja Shahini, Martin Schmitz and Jens Lehmann: BenchEmbedd: A FAIR Benchmarking tool forKnowledge Graph Embeddings. In: Ilaria Tiddi, Maria Maleshkova, Tassilo Pellegrini and Victor de Boer (eds.): Joint Proceedings of the Semantics co-located events: Poster&Demo track and Workshop on Ontology-Driven Conceptual Modelling of Digital Twins co-located with Semantics 2021, Amsterdam and Online, September 6-9, 2021 , Volume 2941 of CEUR Workshop Proceedings , CEUR-WS.org , 2021 .  

    • Externe Doktorandin

    Xhulja Shahini

    Software Systems Engineering (SSE)

    Universität Duisburg-Essen
    45127 Gerlingstraße 16
    Germany
    Telefon: +49 201 18-37358
    E-Mail:
    Raum: S-GW 006