Reducing design time and promoting evolvability using Domain-Specific Languages in an industrial context

Åkesson, Benny; Hooman, Jozef; Sleuters, Jack; Yankov, Adrian

doi:10.1016/b978-0-12-816649-9.00020-x

Cited by 4 publications

(2 citation statements)

References 59 publications

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“…Modeldriven engineering using tailor-made DSLs becomes increasingly common in industry [42], including the domain of embedded or cyber-physical systems [19]. The model-driven approach generally benefits development time and improves customisation, maintenance and evolution of software [2].…”

Section: Task Re-engineeringmentioning

confidence: 99%

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PReGO: a generative methodology for satisfying real-time requirements on COTS-based systems: definition and experience report

Rouxel

Schultz

Åkesson

et al. 2020

Proceedings of the 19th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences

Self Cite

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Satisfying real-time requirements in cyber-physical systems is challenging as timing behaviour depends on the application software, the embedded hardware, as well as the execution environment. This challenge is exacerbated as realworld, industrial systems often use unpredictable hardware and software libraries or operating systems with timing hazards and proprietary device drivers. All these issues limit or entirely prevent the application of established real-time analysis techniques.In this paper we propose PReGO, a generative methodology for satisfying real-time requirements in industrial commercial-off-the-shelf (COTS) systems. We report on our experience in applying PReGO to a use-case: a Search & Rescue application running on a fixed-wing drone with COTS components, including an NVIDIA Jetson board and a stock Ubuntu/Linux. We empirically evaluate the impact of each integration step and demonstrate the effectiveness of our methodology in meeting real-time application requirements in terms of deadline misses and energy consumption.

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Section: Task Re-engineeringmentioning

confidence: 99%

“…To compute its period we compute the hyperperiod ( ). From this, we derive the period as shown in Equation (2). Note that the derived period in Equation ( 2) is floored as time is in N + .…”

Section: Inferring Periodsmentioning

confidence: 99%

PReGO: a generative methodology for satisfying real-time requirements on COTS-based systems: definition and experience report

Rouxel

Schultz

Åkesson

et al. 2020

Proceedings of the 19th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences

Self Cite

View full text Add to dashboard Cite

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A framework for evaluating tool support for co-evolution of modeling languages, tools and models

Tolvanen,

Kelly,

Di Rocco

et al. 2024

Softw Syst Model

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We present a framework for evaluating language workbenches’ capabilities for co-evolution of graphical modeling languages, modeling tools and models. As with programming, maintenance tasks such as language refinement and enhancement typically account for more work than the initial development phase. Modeling languages have the added challenge of keeping tools and existing models in step with the evolving language. As domain-specific modeling languages and tools have started to be used widely, thanks to reports of significant productivity improvements, some language workbench users have indeed reported problems with co-evolution of tools and models. Our tool-agnostic evaluation framework aims to cover changes across the whole language definition: the abstract syntax, concrete syntax, and constraints. Change impact is assessed for knock-on effects within the language definition, the modeling tools, semantics via generators, and existing models. We demonstrate the viability of the framework by evaluating MetaEdit+, EMF/Sirius and Jjodel, providing a detailed evaluation process for others to repeat with their tools. The results of the evaluation show differences among the tools: from editors not opening correctly or at all, through highlighting of items requiring manual intervention, to fully automatic updates of languages, models and editors. We call for industry to evaluate their tool choices with the framework, tool developers to extend their tool support for co-evolution, and researchers to refine the evaluation framework and evaluations presented.

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Design of a Supervisor Platform for Movable Bridges

Reijnen

Mortel-Fronczak

Reniers

et al. 2020

2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)

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Reducing design time and promoting evolvability using Domain-Specific Languages in an industrial context

Cited by 4 publications

References 59 publications

PReGO: a generative methodology for satisfying real-time requirements on COTS-based systems: definition and experience report

PReGO: a generative methodology for satisfying real-time requirements on COTS-based systems: definition and experience report

A framework for evaluating tool support for co-evolution of modeling languages, tools and models

Design of a Supervisor Platform for Movable Bridges

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