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Alberto Allué

dblp:148/2215 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Services computing and microservices · 61% Requirements engineering and software design · 30% Software maintenance and evolution · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Services computing and microservices
business process management
0.212014
Occurrence-Oriented Design Strategy for Developing Business Process Monitoring Systems · IEEE Trans. Knowl. Data Eng. 2014
Services computing and microservices › business process management
business process monitoring
0.212014
Occurrence-Oriented Design Strategy for Developing Business Process Monitoring Systems · IEEE Trans. Knowl. Data Eng. 2014
Requirements engineering and software design
model-driven engineering
0.212014
Occurrence-Oriented Design Strategy for Developing Business Process Monitoring Systems · IEEE Trans. Knowl. Data Eng. 2014
Software maintenance and evolution
system evolution
0.112014
Occurrence-Oriented Design Strategy for Developing Business Process Monitoring Systems · IEEE Trans. Knowl. Data Eng. 2014

Methods — techniques the papers use, named apart from their topics

occurrence-based design · 0.2model-driven engineering · 0.2
YearPublicationVenuePosition
2017 Developing provenance-aware query systems: an occurrence-centric approach
Eladio Domínguez, Beatriz Pérez 0001, Ángel Luis Rubio, María Antonia Zapata, Alberto Allué, Antonio López
Knowl. Inf. Syst.5
2014 Occurrence-Oriented Design Strategy for Developing Business Process Monitoring Systems
abstract
In a competitive market, business process improvement is a requirement for any organization. This improvement can only be achieved with the support of comprehensive systems that fully monitor business processes. We propose an occurrence - based approach to business process monitoring that provides a holistic perspective of system dynamics, lending support to evolution aspects. More specifically, we present a three-dimensional artifact, called Occurrence, in which structure, behavior, and guidance are considered simultaneously. Based on this, we define more complex structures, namely Occurrence Base and Occurrence Management System, which serve as scaffolding to develop business process monitoring systems. We also present a specific occurrence-based design strategy that, using an MDE approach, has been applied by our research group for the development of successful monitoring applications.
Eladio Domínguez, Beatriz Pérez 0001, Ángel Luis Rubio, María Antonia Zapata, Juan Lavilla, Alberto Allué
IEEE Trans. Knowl. Data Eng.6