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A Data-driven approach to improve the process of data-intensive API creation and evolution

Author
Abello, A.; Ayala, C.P.; Farré, C.; Gomez, C.; Oriol, M.; Romero, O.
Type of activity
Presentation of work at congresses
Name of edition
29th International Conference on Advanced Information Systems Engineering
Date of publication
2017
Presentation's date
2017-06-12
Book of congress proceedings
CAiSE-Forum-DC 2017: CAiSE 2017 Forum and Doctoral Consortium Papers: proceedings of the Forum and Doctoral Consortium Papers Presented at the 29th International Conference on Advanced Information Systems Engineering (CAiSE 2017): Essen, Germany, June 12-16, 2017
First page
1
Last page
8
Publisher
CEUR-WS.org
Project funding
(GENESIS) Generation and Evolution of Smart APIs
Repository
http://hdl.handle.net/2117/113036 Open in new window
URL
http://ceur-ws.org/Vol-1848/CAiSE2017_Forum_Paper1.pdf Open in new window
Abstract
The market of data-intensive Application Programming Interfaces (APIs) has recently experienced an exponential growth, but the creation and evolution of such APIs is still done ad-hoc, with little automated support and reported deficiencies. These drawbacks hinder the productivity of developers of those APIs and the services built on top of them. In this exploratory paper, we promote a data-driven approach to improve the automatization of data-intensive API creation and evolution. In a release...
Citation
Abelló, A., Ayala, C.P., Farré, C., Gómez, C., Oriol, M., Romero, O. A Data-driven approach to improve the process of data-intensive API creation and evolution. A: International Conference on Advanced Information Systems Engineering. "CAiSE-Forum-DC 2017: CAiSE 2017 Forum and Doctoral Consortium Papers: proceedings of the Forum and Doctoral Consortium Papers Presented at the 29th International Conference on Advanced Information Systems Engineering (CAiSE 2017): Essen, Germany, June 12-16, 2017". Essen: CEUR-WS.org, 2017, p. 1-8.
Keywords
API, Data flows, Data management
Group of research
DTIM - Database Technologies and lnformation Management Group
GESSI - Group of Software and Service Engineering
IMP - Information Modelling and Processing
inLab FIB
inSSIDE - integrated Software, Service, Information and Data Engineering

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