Modelling on mobile devices

Brunschwig, Léa; Guerra, Esther; Lara, Juan de

doi:10.1007/s10270-021-00897-8

Cited by 3 publications

(1 citation statement)

References 68 publications

(266 reference statements)

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“…Sebastian et al 48 investigated code generation using model‐driven architecture, and identified implemented systems enabling code generation. Similarly, Brunschwig et al 49 provided an overview of tools to support software modeling on mobile devices.…”

Section: Background and Related Workmentioning

confidence: 99%

Software assistants in software engineering: A systematic mapping study

et al. 2022

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The increasing essential complexity of software systems makes current software engineering methods and practices fall short in many occasions. Software assistants have the ability to help humans achieve a variety of tasks, including the development of software. Such assistants, which show human‐like competences such as autonomy and intelligence, help software engineers do their job by empowering them with new knowledge. This article investigates the research efforts that have been conducted on the creation of assistants for software design, construction and maintenance paying special attention to the user‐assistant interactions. To this end, we followed the standard systematic mapping study method to identify and classify relevant works in the state of the art. Out of the 7580 articles resulting from the automatic search, we identified 112 primary studies that present works which qualify as software assistants. We provide all the resources needed to reproduce our study. We report on the trends and goals of the assistants, the tasks they perform, how they interact with users, the technologies and mechanisms they exploit to embed intelligence and provide knowledge, and their level of automation. We propose a classification of software assistants based on interactions and present an analysis of the different automation patterns. As outcomes of our study, we provide a classification of software assistants dealing with the design, construction and maintenance phases of software development, we discuss the results, identify open lines of work and challenges and call for new innovative and rigorous research efforts in this field.

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Section: Background and Related Workmentioning

confidence: 99%

Software assistants in software engineering: A systematic mapping study

et al. 2022

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Screening articles for systematic reviews with ChatGPT

Syriani,

David,

Kumar

2024

Journal of Computer Languages

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Adaptive modelling languages: Abstract syntax and model migration

de Lara,

Guerra

2024

ACM Trans. Softw. Eng. Methodol.

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Modelling languages are heavily used in many disciplines, including software engineering. However, current languages are rigid , since they do not get adapted to fit the users’ expertise, the modelling task, or the usage platform. This may turn some languages unsuitable for a range of users (from unexperienced to experts), goals (from informal discussion to precise specification) and platforms (from desktops to mobile phones). We claim that making languages adaptive to the modelling scenario would alleviate these issues and help simplifying recurring tasks such as language evolution or interoperability between the languages of a family. In this paper, we propose the new notion of adaptive modelling language . This concept combines meta-modelling and product lines to support variants of a given language, and encompasses contextual conditions triggering language reconfigurations, and mechanisms for model migration across the language variants. The paper presents a theory and its realisation atop the Eclipse Modeling Framework. Our tool includes an Eclipse workbench to specify adaptive languages and produce Eclipse modelling editors with adaptation support. We report on an evaluation demonstrating the advantages of using our framework to express migrations across the variants of adaptive languages, which moreover have generally fast execution times.

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Modelling on mobile devices

Cited by 3 publications

References 68 publications

Software assistants in software engineering: A systematic mapping study

Software assistants in software engineering: A systematic mapping study

Screening articles for systematic reviews with ChatGPT

Adaptive modelling languages: Abstract syntax and model migration

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