e-Informatica Software Engineering Journal (EISEJ) is an international, open access (CC-BY 4.0 without any fees), 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.
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Special section on: Rise of Predictive Maintenance for Software Systems using AI
Call for Papers
This special section aims to provide a comprehensive overview of the current state of the art in predictive maintenance for software systems using AI, including theoretical and practical contributions. We seek to bring together a diverse group of researchers and practitioners to share their experiences and insights on the challenges and opportunities of applying AI to predictive maintenance.
Find more information in Call for Papers [PDF].
Early bird access to Volume 18/2024:
- Issue 1
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- Hina Saeeda, Muhammad Ovais Ahmad, Tomas Gustavsson , “A Multivocal Literature Review on Non-Technical Debt in Software Development: An Insight into Process, Social, People, Organizational, and Culture Debt“
- Sini Vänskä, Kai-Kristian Kemell, Tommi Mikkonen, Pekka Abrahamsson, “Continuous Software Engineering Practices in AI/ML Development Past the Narrow Lens of MLOps: Adoption Challenges“
- Mohammad Azzeh, Ali Bou Nassif, Manar Abu Talib, Hajra Iqbal , “Software Defect Prediction Using Non-Dominated Sorting Genetic Algorithm and k-Nearest Neighbour Classifier“
- Kristian Tuusjärvi, Jussi Kasurinen, Sami Hyrynsalmi , “Migrating a Legacy System to a Microservice Architecture“
- Dongmei Gao, Fabian Fagerholm , “Measuring End-user Developers’ Episodic Experience of a Low-code Development Platform” (Preview)
- Sebastian Hönel, Petr Picha, Morgan Ericsson, Premek Brada, Welf Löwe, Anna Wingkvist , “Activity-Based Detection of (Anti-)Patterns: An Embedded Case Study of the Fire Drill” (Preview)
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