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

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dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.contributor	Universitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering
dc.contributor	Universitat Politècnica de Catalunya. MPI - Modelització i Processament de la Informació
dc.contributor.author	Abelló Gamazo, Alberto
dc.contributor.author	Ayala Martínez, Claudia Patricia
dc.contributor.author	Farré Tost, Carles
dc.contributor.author	Gómez Seoane, Cristina
dc.contributor.author	Oriol Hilari, Marc
dc.contributor.author	Romero Moral, Óscar
dc.date	2017
dc.identifier.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.
dc.identifier.citation	1613-0073
dc.identifier.uri	http://hdl.handle.net/2117/113036
dc.language.iso	eng
dc.publisher	CEUR-WS.org
dc.relation	http://ceur-ws.org/Vol-1848/CAiSE2017_Forum_Paper1.pdf
dc.relation	info:eu-repo/grantAgreement/ES/TIN2016-79269-R
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació
dc.subject	Application program interfaces (Computer software)
dc.subject	API
dc.subject	Data flows
dc.subject	Data management
dc.subject	Interfícies de programació d'aplicacions (Programari)
dc.title	A Data-driven approach to improve the process of data-intensive API creation and evolution
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.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 cycle, data coming from API usage and developers will be gathered to compute several indicators whose analysis will guide the planning of the next release. This data will also help to generate complete documentation facilitating APIs adoption by third parties.
dc.description.abstract	Peer Reviewed

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