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Esperanza Marcos
Researcher at King Juan Carlos University
Publications - 150
Citations - 1970
Esperanza Marcos is an academic researcher from King Juan Carlos University. The author has contributed to research in topics: Web modeling & Web service. The author has an hindex of 26, co-authored 146 publications receiving 1869 citations.
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Applying CIM-to-PIM model transformations for the service-oriented development of information systems
TL;DR: A model-driven approach helps to solve the alignment problem between the business view and the information system view that arises when adopting service-oriented approaches for software development.
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Model-Driven Engineering as a new landscape for traceability management: A systematic literature review
Iván Santiago,Álvaro Jiménez,Juan M. Vara,Valeria de Castro,Verónica Andrea Bollati,Esperanza Marcos +5 more
TL;DR: Evaluation of traceability management in Model-Driven Engineering shows that the most addressed operations are storage, CRUD and visualization, while the most immature operations are exchange and analysis traceability information.
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A Methodological Approach for Object-Relational Database Design using UML
TL;DR: In this paper, the authors define new UML stereotypes for Object-Relational Database Design and propose some guidelines to translate a UML conceptual schema into an object-relational schema, based on the SQL:1999 object relational model and on Oracle8i as product example.
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Towards a service-oriented MDA-based approach to the alignment of business processes with IT systems: From the business model to a web service composition model
TL;DR: This paper presents a service-oriented approach to information system development that starts by identifying, through business modeling, the services required by the customers of a business, to make it possible to create a Web service composition model, which will facilitate the transformation to specific languages for business process execution.
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A model driven method for service composition modelling: a case study
TL;DR: This work presents a model-driven method for service composition modelling that defines a process, new models and the mappings between them, and facilitates the mapping to a specific web services composition language.