e-Informatica Software Engineering Journal (EISEJ)
An international, open access, no authorship fees, blind peer-reviewed journal indexed by Web of Science, 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.
Current volume 12/2018:
- Issue 1
- Elhillali Kerkouche, El Bay Bourennane, Allaoua Chaoui, “A Graphical Modelling Editor for STARSoC Design Flow Tool Based on Model Driven Engineering Approach.”
- Luigi Lavazza, Sandro Morasca, Davide Tosi, “An Empirical Study on the Factors Affecting Software Development Productivity.”
- Knowledge Management in Software Testing: A Systematic Snowball Literature Review.” , “
- Chris Marshall, Barbara Kitchenhamm, Pearl Brereton, “Tool Features to Support Systematic Reviews in Software Engineering – A Cross Domain Study.”
- Mathieu Lavallée, Pierre N. Robillard, “Are We Working Well with Others? How the Multi Team Systems Impact Software Quality.”
- Touseef Tahir, Ghulam Rasool, Muhammad Noman, “A Systematic Mapping Study on Software Measurement Programs in SMEs.”
- Jurka Rahikkala, Sami Hyrynsalmi, Ville Leppänen, Ivan Porres, “The Role of Organisational Phenomena in Software Cost Estimation: A Case Study of Supporting and Hindering Factors.”
- Bartłomiej Wójcicki, Robert Dąbrowski, “Applying Machine Learning to Software Fault Prediction.”
- Miroslaw Staron, Kent Niesel, Niclas Bauman, “Milestone-Oriented Usage of Key Performance Indicators – An Industrial Case Study.”
- Ali Demirsoy, Kai Petersen, “Semantic Knowledge Management System to Support Software Engineers: Implementation and Static Evaluation through Interviews at Ericsson.”
- Magnus Wilson, Krzysztof Wnuk, Johan Silvander, Tony Gorschek, “A literature review on the effectiveness and efficiency of business modeling.”
- Tarun Gupta, Erik J. Luit, Martijn M.H.P. van den Heuvel, Reinder J. Bril, “Experience Report: Towards Extending an OSEK-Compliant RTOS with Mixed Criticality Support.”