About JOT
Mission
JOT, the Journal of Object Technology, is a peer-reviewed, free and open-access journal dedicated to the timely publication of previously unpublished research articles, surveys, tutorials, and technical notes on all aspects of software and language engineering, with a particular but not exclusive focus on object technology.
JOT publishes original, timely, high-quality articles that address important research and application topics; the results described must be reproducible, extensible and scalable. Claims must be validated through, for example, empirical studies, simulation or proofs.
Submitted works will be assessed on originality, significance, technical soundness and quality of presentation. Contributions should conform to generally accepted practices for scientific papers with respect to organization, clarity, and style. Papers about industrial practices, education experiences, as well as state-of-the-art surveys, are welcome.
Besides technical contributions, JOT solicits papers about software tools and environments.
Indexing
JOT Journal is currently indexed by DBLP, Google Scholar, Microsoft Academic Search, SCIRUS, Scientific Commons, DOAJ, Index of IS Journals, and SCOPUS. JOT is registered under ISSN 1660-1769.
Continuous Publication Scheme
JOT uses a continuous publication scheme whereby regular papers, upon acceptance, are immediately added into a dynamic annual issue, with final DOI and other metadata.
Platinum Open Access
JOT is open-access and completely free to both readers and authos (“platinum” model). This model has been JOT’s model ever since the journal’s visionary creation in 2002 and applies to all contributions (available under the Creative Commons license).
Current Volume
Volume 18, no. 3 (July 2019)
The 12th International Conference on Model Transformations
Editorial
- Anthony Anjorin, Regina Hebig, The 12th International Conference on Model Transformations (ICMT 2019), pp. 1-2, PDF, DOI.
Articles
- Sebastian Ehmes, Lars Fritsche, Andy Schürr, SimSG: Rule-based Simulation using Stochastic Graph Transformation, pp. 1:1-17, PDF, DOI.
- Théo Le Calvar, Frédéric Jouault, Fabien Chhel, Mickael Clavreul, Efficient ATL Incremental Transformations, pp. 2:1-17, PDF, DOI.
- Eugene Syriani, Robert Bill, Manuel Wimmer, Domain-Specific Model Distance Measures, pp. 3:1-19, PDF, DOI.
- Heiko Klare, Torsten Syma, Erik Burger, Ralf Reussner, A Categorization of Interoperability Issues in Networks of Transformations, pp. 4:1-20, PDF, DOI.
- Nisha Desai, Martin Gogolla, Developing Comprehensive Postconditions Through a Model Transformation Chain, pp. 5:1-18, PDF, DOI.
- Stefan John, Alexandru Burdusel, Robert Bill, Daniel Strüber, Gabriele Taentzer, Steffen Zschaler, Manuel Wimmer, Searching for Optimal Models: Comparing Two Encoding Approaches, pp. 6:1-22, PDF, DOI.