Preprint Open Access
Category Theory Framework for Variability Models with Non-Functional Requirements
Daniel-Jesus Munoz;
Dilian Gurov;
Monica Pinto;
Lidia Fuentes
BibTeX Export
@unpublished{daniel_jesus_munoz_2021_4599585,
author = {Daniel-Jesus Munoz and
Dilian Gurov and
Monica Pinto and
Lidia Fuentes},
title = {{Category Theory Framework for Variability Models
with Non-Functional Requirements}},
note = {{Munoz, Pinto and Fuentes work is supported by the
European Union's H2020 research and innovation
programme under grant agreement DAEMON 101017109,
by the projects co-financed by FEDER funds LEIA
UMA18-FEDERJA-15, MEDEA RTI2018-099213-B-I00 and
Rhea P18-FR-1081 and the PRE2019-087496 grant from
the Ministerio de Ciencia e Innovación.}},
month = mar,
year = 2021,
doi = {10.5281/zenodo.4599585},
url = {https://doi.org/10.5281/zenodo.4599585}
}
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| Data volume | 168.6 MB | 168.6 MB |
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| Unique downloads | 137 | 137 |
Indexed in
- Publication date:
- March 11, 2021
- DOI:
-
- ISBN:
- 978-3-030-79382-1
- Keyword(s):
- numerical variability model feature non-functional requirement quality attribute category theory
- Published in:
- Advanced Information Systems Engineering, Springer International Publishing, Cham, pp. 397--413 (978-3-030-79382-1).
- Grants:
-
European Commission:
- DAEMON - Network intelligence for aDAptive and sElf-Learning MObile Networks (101017109)
- Meeting:
- 33rd International Conference on Advanced Information Systems Engineering (CAiSE '21), Melbourne, Australia, 28 June - 02 July 2021
- Related identifiers:
- New versions
- 10.1007/978-3-030-79382-1_24 (Conference paper)
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International