e-Informatica Software Engineering Journal
(EISEJ)

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e-Informatica Software Engineering Journal (EISEJ) is an international, open access (CC-BY 4.0 without any fees), single-blind peer-reviewed journal without a paper length limit indexed by ISI Web of Science, Scopus, DBLP, Google Scholar, DOAJ etc.

Our focus is on empirical software engineering, as well as data science (in particular artificial intelligence and machine learning methods) in software engineering, see our FLYER.

All authors and reviewers are expected to follow high standards with respect to publication ethics (Authors’ Guide – Publication Ethics) as set out by the Committee on Publication Ethics (COPE) and accept our Review Process.

 

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Early bird access to Volume 21/2027:

  1. Aleksander Jarzębowicz, Adam Przybyłek, Jacinto Estima, Yen Ying Ng, Jakub Swacha, Beata Zielosko, Lech Madeyski, Noel Carroll, Kai-Kristian Kemell, Bartosz Marcinkowski, Alberto Rodrigues da Silva, Viktoria Stray, Netta Iivari, Anh Nguyen-Duc, Jorge Melegati, Boris Delibašić, Emilio Insfran, "The Landscape of Generative AI in Information Systems: A Synthesis of Secondary Reviews and Research Agendas" .
  2. Volodymyr Sabadosh, Vladyslav Kotsovsky, "Text-to-SQL Dataset Quality Assessment: A Multi-Dimensional Validation Framework" .

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