Bill, R., Brucker, A.D. orcid.org/0000-0002-6355-1200, Gogolla, J.C.M. et al. (2 more authors) (2018) Workshop in OCL and Textual Textual Modelling: Report on Recent Trends and Panel Discussion. In: Seidl, M. and Zschaller, S., (eds.) Software Technologies: Applications and Foundations. STAF 2017. Federation of International Conferences on Software Technologies: Applications and Foundations, 17-21 Jul 2017, Marburg, Germany. Lecture Notes in Computer Science (10748). Springer-Verlag , pp. 297-301. ISBN 978-3-319-74729-3
Abstract
This paper reports on the panel session of the 17th Workshop in OCL and Textual Modeling, As in previous years, the panel session featured several lightning talks for presenting recent developments and open questions in the area of OCL and textual modeling. During this session, the OCL community discussed, stimulated through short pre- sentations by OCL experts, proposals for improving OCL to increase the attractiveness of textual modeling. This paper contains a summary of the workshop from the workshop organisers as well as summaries of two lightning talks provided by their presenters.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2018 Springer. This is an author produced version of a paper subsequently published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | OCL, textual modelling |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 12 Apr 2018 08:37 |
Last Modified: | 19 Dec 2022 13:49 |
Published Version: | https://doi.org/10.1007/978-3-319-74730-9_26 |
Status: | Published |
Publisher: | Springer-Verlag |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-74730-9_26 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:129155 |