Aspect-Oriented Model Development at Different Levels of Abstraction

Alférez, Mauricio; Amálio, Nuno; Ciraci, Selim; Fleurey, Franck; Kienzle, Jörg; Klein, Jacques; Kramer, Max; Mosser, Sébastien; Mussbacher, Gunter; Roubtsova, Ella; Zhang, Gefei

doi:10.1007/978-3-642-21470-7_25

Cited by 4 publications

(4 citation statements)

References 13 publications

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“…The examples of them are reviewed in Ref. [43]. There are aspect-oriented modeling extensions for sequence diagrams [44] and attempts of extension of activity diagrams [45].…”

Section: Model Changesmentioning

confidence: 99%

Advances in Behavior Modeling

Roubtsova¹

2015

Advances in Computers

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“…The examples of them are reviewed in Ref. [43]. There are aspect-oriented modeling extensions for sequence diagrams [44] and attempts of extension of activity diagrams [45].…”

Section: Model Changesmentioning

confidence: 99%

Advances in Behavior Modeling

Roubtsova¹

2015

Advances in Computers

Self Cite

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“…To some extent, concepts of aspect-oriented modeling [1,22] can be realized by our push and pull injection approaches, thus enabling composition and verification of fragment models into target models.…”

Section: Related Workmentioning

confidence: 99%

Generation of conjoint domain models for system-of-systems

Dhungana

Falkner

Haselböck

2013

Proceedings of the 12th International Conference on Generative Programming: Concepts &Amp; Experiences

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Software solutions in complex environments, such as railway control systems or power plants, are assemblies of heterogeneous components, which are very large and complex systems themselves. Interplay of these systems requires a thorough design of a systemof-systems (SoS) encompassing the required interactions between the involved systems. One of the challenges lies in reconciliation of the domain data structures and runtime constraints to ensure consistency of the SoS behavior. In this paper, we present a generative approach that enables reconciliation of a common platform based on reusable domain models of the involved systems. This is comparable to a product line configuration problem where we generate a common platform model for all involved systems. We discuss the specific requirements for model composition in a SoS context and address them in our approach. In particular, our approach addresses the operational and managerial independence of the individual systems and offers appropriate modeling constructs. We report on our experiences of applying the approach in several real world projects and share the lessons learned.

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“…We can also implement stress scenario, used to model peak load. For example, a stress scenario can model defective sensors that flood the system with irrelevant data 6 . It is then possible to implement a library of scenarios, available off-the-shelf (with reference value associated to each scenario).…”

Section: Initial Experiments: Scalabilitymentioning

confidence: 99%

“…In 2009, Kienzle et al proposed a common case study for AOM [4] based on a Car Crash Crisis Management System (CCCMS). The CCCMS was then exploited in several scientific work as a reference to (i) compare AOM approaches against others [5] and (ii) reify tool chains when these approaches worked a different level of abstractions [6]. According to Google Scholar (July 2012), up to 32 papers are referring to this case study.…”

Section: Introductionmentioning

confidence: 99%

SENSAPP as a Reference Platform to Support Cloud Experiments: From the Internet of Things to the Internet of Services

Mosser

Fleurey

Morin

et al. 2012

2012 14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing

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The Cloud-computing paradigm was considered as a revolution. Thanks to the abstraction of computing resources "in the clouds" this paradigm provides "anything" as a service, on a pay-as-you-go basis. Unfortunately, there is no reference software that one can use to properly compare a cloud approach against others. We propose the SENSAPP platform to tackle this challenge. SENSAPP is designed as a prototypical cloud application and is provided as an open-source service-based application used to store and exploit data collected by the Internet of Things. We propose SENSAPP as a reference implementation to compare different cloud approaches. In this paper we present initial experiments about scalability based on this platform.

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Aspect-Oriented Model Development at Different Levels of Abstraction

Cited by 4 publications

References 13 publications

Advances in Behavior Modeling

Advances in Behavior Modeling

Generation of conjoint domain models for system-of-systems

SENSAPP as a Reference Platform to Support Cloud Experiments: From the Internet of Things to the Internet of Services

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