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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Current Volume 15/2021:

Volume 15/2021

• Issue 1
  1. Renu George, Philip Samuel, “Fixing Design Inconsistencies of Polymorphic Methods Using Swarm Intelligence“
  2. Hani Bani-Salameh, Mohammed Sallam, Bashar Al shboul, “A Deep-Learning-Based Bug Priority Prediction Using RNN-LSTM Neural Networks“
  3. Eriks Klotins, Michael Unterkalmsteiner, Panagiota Chatzipetrou, Tony Gorschek, Rafael Prikladnicki, Nirnaya Tripathi, Leandro Bento Pompermaier, “Use of Agile Practices in Start-up Companies“
  4. Issam Al-Azzoni, Saqib Iqbal, “A Framework for the Regression Testing of Model-to-Model Transformations“
  5. Rajni Jindal, Ruchika Malhotra, Abha Jain, Ankita Bansal, “Mining Non-Functional Requirements using Machine Learning Techniques“
  6. Omid Bushehrian, Mohsen Sayari, Pirooz Shamsinejad, “Software Deterioration Control Based on Issue Reports“
  7. Mohsin Irshad, Kai Petersen, “A Systematic Reuse Process for Automated Acceptance Tests: Construction and Elementary Evaluation“
  8. Elife Ozturk Kiyak, Derya Birant, Kokten Ulas Birant, “Multi-view learning for software defect prediction“
  9. Magnus Wilson, Krzysztof Wnuk and Lars Bengtsson, “Business Model Flexibility and Software-intensive Companies: Opportunities and Challenges“

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