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 16/2022:

Volume 16/2022

• Issue 1
  1. 1. Amal Ahmed Anda, Daniel Amyot, “Self-Adaptation Driven by SysML and Goal Models – A Literature Review” (Preview)
     2. Rajdeep Kaur, Kuljit Kaur Chahal, Munish Saini , “Analysis of Factors Influencing Developers’ Sentiments in Commit Logs: Insights from Applying Sentiment Analysis” (Preview)
     3. Huynh Khanh Vi Tran, Jürgen Börstler, Nauman bin Ali, Michael Unterkalmsteiner, “How good are my search strings? Reflections on using an existing review as a quasi-gold standard” (Preview)

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