VizDSL: A Visual DSL for Interactive Information Visualization

Morgan, Rebecca; Großmann, Georg; Schrefl, Michael; Stumptner, Markus; Payne, Timothy E.

doi:10.1007/978-3-319-91563-0_27

Cited by 12 publications

(3 citation statements)

References 20 publications

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“…This is the case of JJodel [39], a web-based modelling environment supporting the definition of views reactive to variations on the model objects, in the style of Visual Basic. VizDSL is a DSL to define interactive data visualisations, which can be applied to render models [40] (i.e., define their concrete syntax), but does not target or directly support SMSs. Our approach, in contrast, focuses on strategies that are defined once and can be repeatedly reused for different DSLs.…”

Section: B Visualising and Comprehending Large Graphs And Modelsmentioning

confidence: 99%

Model Sensemaking Strategies: Exploiting Meta-Model Patterns to Understand Large Models

Martínez-Lasaca,

Díez,

Guerra

et al. 2023

2023 ACM/IEEE 26th International Conference on Model Driven Engineering Languages and Systems (MODELS)

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The increasing popularity of model-based and lowcode platforms has raised the need to understand large models -especially in industrial settings. However, current approaches mainly rely on graph-based visual metaphors, which do not scale well with large model sizes. To address this issue, we introduce model sensemaking strategies: purposeful model visualisations based on alternative visual metaphors. We define them as reusable patterns that yield tailored visualisations when applied to meta-models. This paper presents a catalogue of domain-specific and domain-agnostic sensemaking strategies, and a recommender that suggests suitable strategies for a given meta-model. To showcase the framework's applicability, we have implemented some of these strategies in Dandelion, an industrial, low-code graphical language workbench for the cloud. Using this platform, we have evaluated the effectiveness of the strategies to visualise large industrial models by the UGROUND company.

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Section: B Visualising and Comprehending Large Graphs And Modelsmentioning

confidence: 99%

Model Sensemaking Strategies: Exploiting Meta-Model Patterns to Understand Large Models

Martínez-Lasaca,

Díez,

Guerra

et al. 2023

2023 ACM/IEEE 26th International Conference on Model Driven Engineering Languages and Systems (MODELS)

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“…In the literature, there are dozens of publications explaining how specific information visualization systems, frameworks or toolkits work, like Starlight [67], Polaris [82], prefuse [32], VESTA [50], 3D Medical Visualization System [2], VizAssist [13], Reactive Vega [70,71], DeepEye [41], VisComposer [48], or VizDSL [54].…”

Section: Related Workmentioning

confidence: 99%

A proposed UML-based common model for information visualization systems

Moral

Antonio

Ferré

et al. 2021

Multimed Tools Appl

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Nowadays, visualization of large amounts of data has become a key issue for processing data in many fields. This paper presents a conceptual model for describing information visualization systems. This conceptual model has been represented using the Unified Modeling Language, therefore it takes advantage of the understandability, unambiguity, flexibility, and adaptability provided by this notation. The proposed model outlines concepts such as visualization workspace, device, visual representation and its features, information visualization task and its effects on visualization, inter-item relationship, etc. The main applications of the proposed model are: (1) to guide the development of a new visualization system by specifying which are the main concepts that have to be considered and how they relate to each other; (2) to characterize or describe an already existing visualization system; and (3) to thoroughly compare existing visualization systems. To illustrate the use and applications of the model, several examples of information visualization systems are provided.

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“…There are several academic approaches on architectural views oriented to soft-ware comprehension tasks, for example: CodeCity (Wettel et al 2011), eCity+ (Khan et al 2014), AIVA (Snajberk et al 2012;najberk et al 2013), SAABs (Osman et al 2014), Softwarenaut (Lungu et al 2014), VizDSL (Morgan et al 2018), Modigen (Gerhart and Boger 2016), EuGENia, 17 Moose, 18 and GRAPH (Bergel et al 2014).…”

Section: Software Visualizationmentioning

confidence: 99%

Metric-centered and technology-independent architectural views for software comprehension

Mendivelso¹,

Garcés²,

Casallas³

2018

J Softw Eng Res Dev

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The maintenance of applications is a crucial activity in the software industry. The high cost of this process is due to the effort invested on software comprehension since, in most of cases, there is no up-to-date abstraction or documentation to ease this task but the source code. The goal of many commercial and academic tools is to build software architectural views from the code. The main disadvantages of such tools are: i) they are dependent on the language/technology on top of which the application is built; and ii) they offer pre-defined views that are too difficult to adapt to meet particular software comprehension needs. In this paper, we present a Technology-independent approach which is flexible enough to allow developers to define metric-centered architectural views by using annotations. These views display in a single canvas architectural elements whose look and feel maps software metrics. Our work results from joint projects with industry partners with software modernization needs in different technologies: Oracle Forms, Java EE, and Ruby on Rails. We present how our proposal was applied in these projects and compare the results with those of the previously followed process.

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VizDSL: A Visual DSL for Interactive Information Visualization

Cited by 12 publications

References 20 publications

Model Sensemaking Strategies: Exploiting Meta-Model Patterns to Understand Large Models

Model Sensemaking Strategies: Exploiting Meta-Model Patterns to Understand Large Models

A proposed UML-based common model for information visualization systems

Metric-centered and technology-independent architectural views for software comprehension

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