e-Informatica Software Engineering Journal (EISEJ)

An international, open access, no authorship fees, blind peer-reviewed journal (indexed by Web of Science ESCI, Scopus, DBLP etc.) that concerns theoretical and practical issues pertaining development of software systems.
Our aim is to focus on experimentation and machine learning in software engineering.

Since Volume 11/2017 all papers are published under Creative Commons CC-BY 4.0 license.

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Early bird access to Volume 17/2023:

Volume 17/2023

• Issue 1
  1. 1. Mamia Agbese, Hanna-Kaisa Alanen, Jani Antikainen, Halme Erika, Hannakaisa Isomaki, Marianna Jantunen, Kai-Kristian Kemell, Rebekah Rousi, Heidi Vainio-Pekka, Ville Vakkuri , “Governance in Ethical and Trustworthy AI Systems: Extension of the ECCOLA Method for AI Ethics Governance Using GARP“
     2. Deepali Bassi, Hardeep Singh, “The Effect of Dual Hyperparameter Optimization on Software Vulnerability Prediction Models“
     3. Maria-Eleni Paschali, Ioannis Stamelos , “Computer Game Scenario Representation: A Systematic Mapping Study“
     4. Haithem Kassem, Khaled Mahar, Amani A. Saad , “Story Point Estimation Using Issue Reports With Deep Attention Neural Network“
     5. Muhammad Usman, Nauman Bin Ali, Claes Wohlin , “A Quality Assessment Instrument for Systematic Literature Reviews in Software Engineering“

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