Globalizing Modeling Languages

2017 ACM/IEEE 20th International Conference on Model Driven Engineering Languages and Systems (MODELS)

et al. 2017

Abstract-Since its infancy, Model Driven Engineering (MDE) research has primarily focused on technical issues. Although it is becoming increasingly common for MDE research papers to evaluate their theoretical and practical solutions, extensive usability studies are still uncommon. We observe a scarcity of User eXperience (UX)-related research in the MDE community, and posit that many existing tools and languages have much room for improvement with respect to UX. Industrial feedback indicates that UX is an important factor in the dissemination and adoption of new technologies, where UX is a key focus area in the software development industry. We consider this a fundamental problem that needs to be addressed in the community if MDE is going to gain widespread use. In this vision paper, we explore how and where UX fits into MDE by considering motivating use cases that revolve around different dimensions of integration: model integration, tool integration, and integration between process and tool support. These use cases help us to illuminate MDErelated UX challenges. Based on the literature and our collective experience in research and industrial collaborations, we propose future directions for addressing these challenges.

Section: A Support For Model and Tool Integrationmentioning

confidence: 99%

User Experience for Model-Driven Engineering: Challenges and Future Directions

Abrahão

Bourdeleau²,

2017 ACM/IEEE 20th International Conference on Model Driven Engineering Languages and Systems (MODELS)

et al. 2017

“…New integration techniques are needed to support a systematic, well-defined approach to integrate these disparate models to enable wellinformed decisions and functionality to be provided by sustainability systems. This push furthers the challenge of the globalization of modeling languages [5], to support a technical coordination between the scientific and engineering models into the control loop of adaptive systems. When the Aggregator is integrating the scientific models, it must consider the temporal and spatial dependencies, as well as the granularity of the model and sensor data from the sustainability system.…”

Section: Feedback To Engineering Models For Dynamic Adaptationmentioning

confidence: 99%

Modeling for sustainability

Combemale

Proceedings of the 8th International Workshop on Modeling in Software Engineering

Moreira

et al. 2016

Self Cite

OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. ABSTRACTVarious disciplines use models for different purposes. While engineering models, including software engineering models, are often developed to guide the construction of a nonexistent system, scientific models, in contrast, are created to better understand a natural phenomenon (i.e., an already existing system). An engineering model may incorporate scientific models to build a system. Both engineering and scientific models have been used to support sustainability, but largely in a loosely-coupled fashion, independently developed and maintained from each other. Due to the inherent complex nature of sustainability that must balance trade-offs between social, environmental, and economic concerns, modeling challenges abound for both the scientific and engineering disciplines. This paper offers a vision that synergistically combines engineering and scientific models to enable broader engagement of society for addressing sustainability concerns, informed decision-making based on moreaccessible scientific models and data, and automated feedback to the engineering models to support dynamic adaptation of sustainability systems. To support this vision, we identify a number of research challenges to be addressed with particular emphasis on the socio-technical benefits of modeling.

“…The development of modern complex software-intensive systems often involves the use of multiple DSLs that capture di↵erent system aspects [2]. In addition, models of the system aspects are seldom manipulated independently of each other.…”

Section: A Grand Challenge Of the Globalization Of Dslsmentioning

confidence: 99%

On the Globalization of Domain-Specific Languages

Globalizing Domain-Specific Languages

Combemale

Jézéquel

et al. 2015

Self Cite

Abstract. In the software engineering community, research on domainspecific languages (DSLs) is focused on providing technologies for designing languages and tools that enable domain experts to develop system solutions e ciently. Unfortunately, the current lack of support to explicitly relate concepts expressed in di↵erent DSLs makes it di cult for software and system engineers to reason about information distributed across models or programs describing di↵erent system aspects, at di↵er-ent levels of abstraction. Supporting the coordinated use of DSLs is what we call the globalization of DSLs. In this chapter, we introduce a grand challenge of the globalization of DSLs, and we present a few motivating scenarios for such a grand chalenge.