Visible to the public A Platform-Aware Model-Driven Embedded Software Engineering Process Based on Annotated Analysis Models

TitleA Platform-Aware Model-Driven Embedded Software Engineering Process Based on Annotated Analysis Models
Publication TypeJournal Article
Year of Publication2018
AuthorsParra, Pablo, Polo, Oscar R., Fernández, Javier, Da Silva, Antonio, Sanchez Prieto, Sebastian, Martinez, Agustin
JournalIEEE Transactions on Emerging Topics in Computing
Pagination1—1
ISSN2168-6750
KeywordsAnalytical models, Biological system modeling, Component-based Software Engineering, compositionality, Computational modeling, Embedded Software, Measurement, Model-driven development, On-board Software, pubcrawl, schedulability analysis, Tools
Abstract

In this work a platform-aware model-driven engineering process for building component-based embedded software systems using annotated analysis models is described. The process is supported by a framework, called MICOBS, that allows working with different component technologies and integrating different tools that, independently of the component technology, enable the analysis of non-functional properties based on the principles of composability and compositionality. An actor, called Framework Architect, is responsible for this integration. Three other actors take a relevant part in the analysis process. The Component Provider supplies the components, while the Component Tester is in charge of their validation. The latter also feeds MICOBS with the annotated analysis models that characterize the extra-functional properties of the components for the different platforms on which they can be deployed. The Application Architect uses these components to build new systems, performing the trade-off between different alternatives. At this stage, and in order to verify that the final system meets the extra-functional requirements, the Application Architect uses the reports generated by the integrated analysis tools. This process has been used to support the validation and verification of the on-board application software for the Instrument Control Unit of the Energetic Particle Detector of the Solar Orbiter mission.

URLhttps://ieeexplore.ieee.org/document/8438923
DOI10.1109/TETC.2018.2866024
Citation Keyparra_platform-aware_2018