| 1. |
- Amaral, Vasco, et al.
(författare)
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A Multiparadigm Approach to Integrate Gestures and Sound in the Modeling Framework
- 2013
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Ingår i: CEUR Workshop Proceedings, Vol. 112. ; , s. 57-66
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Konferensbidrag (refereegranskat)abstract
- One of the essential means of supporting Human-MachineInteraction is a (software) language, exploited to input commands andreceive corresponding outputs in a well-dened manner. In the past,language creation and customization used to be accessible to softwaredevelopers only. But today, as software applications gain more ubiquity,these features tend to be more accessible to application users themselves.However, current language development techniques are still based on tra-ditional concepts of human-machine interaction, i.e. manipulating textand/or diagrams by means of more or less sophisticated keypads (e.g.mouse and keyboard).In this paper we propose to enhance the typical approach for dealing withlanguage intensive applications by widening available human-machine in-teractions to multiple modalities, including sounds, gestures, and theircombination. In particular, we adopt a Multi-Paradigm Modelling ap-proach in which the forms of interaction can be specied by means ofappropriate modelling techniques. The aim is to provide a more advancedhuman-machine interaction support for language intensive applications.
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| 2. |
- Amaral, Vasco, et al.
(författare)
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Programming Languages for Data-Intensive HPC Applications : a Systematic Mapping Study
- 2020
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Ingår i: Parallel Computing. - : Elsevier. - 0167-8191 .- 1872-7336. ; 91, s. 1-17
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Tidskriftsartikel (refereegranskat)abstract
- A major challenge in modelling and simulation is the need to combine expertise in both software technologies and a given scientific domain. When High-Performance Computing (HPC) is required to solve a scientific problem, software development becomes a problematic issue. Considering the complexity of the software for HPC, it is useful to identify programming languages that can be used to alleviate this issue. Because the existing literature on the topic of HPC is very dispersed, we performed a Systematic Mapping Study (SMS) in the context of the European COST Action cHiPSet. This literature study maps characteristics of various programming languages for data-intensive HPC applications, including category, typical user profiles, effectiveness, and type of articles. We organised the SMS in two phases. In the first phase, relevant articles are identified employing an automated keyword-based search in eight digital libraries. This lead to an initial sample of 420 papers, which was then narrowed down in a second phase by human inspection of article abstracts, titles and keywords to 152 relevant articles published in the period 2006–2018. The analysis of these articles enabled us to identify 26 programming languages referred to in 33 of relevant articles. We compared the outcome of the mapping study with results of our questionnaire-based survey that involved 57 HPC experts. The mapping study and the survey revealed that the desired features of programming languages for data-intensive HPC applications are portability, performance and usability. Furthermore, we observed that the majority of the programming languages used in the context of data-intensive HPC applications are text-based general-purpose programming languages. Typically these have a steep learning curve, which makes them difficult to adopt. We believe that the outcome of this study will inspire future research and development in programming languages for data-intensive HPC applications.
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| 3. |
- Liebel, Grischa, 1987, et al.
(författare)
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Human factors in model-driven engineering: future research goals and initiatives for MDE
- 2024
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Ingår i: SOFTWARE AND SYSTEMS MODELING. - 1619-1366 .- 1619-1374.
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Tidskriftsartikel (refereegranskat)abstract
- Software modelling and model-driven engineering (MDE) is traditionally studied from a technical perspective. However, one of the core motivations behind the use of software models is inherently human-centred. Models aim to enable practitioners to communicate about software designs, make software understandable, or make software easier to write through domain-specific modelling languages. Several recent studies challenge the idea that these aims can always be reached and indicate that human factors play a role in the success of MDE. However, there is an under-representation of research focusing on human factors in modelling. During a GI-Dagstuhl seminar, topics related to human factors in modelling were discussed by 26 expert participants from research and industry. In breakout groups, five topics were covered in depth, namely modelling human aspects, factors of modeller experience, diversity and inclusion in MDE, collaboration and MDE, and teaching human-aware MDE. We summarise our insights gained during the discussions on the five topics. We formulate research goals, questions, and propositions that support directing future initiatives towards an MDE community that is aware of and supportive of human factors and values.
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