Meta-Programming and Model-Driven Meta-Program Development

Štuikys, Vytautas; Damaševičius, Robertas

doi:10.1007/978-1-4471-4126-6

Cited by 44 publications

(25 citation statements)

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“…We aim at highlighting the importance of the terms in TEL in general (in fact, the course designers and teachers use the terms, perhaps without the explicit naming). Therefore the explicit use of the terms (stage and staging) can found in the following contexts: stage programming in Taha works (Taha, 1999;Taha, 2004), stage-based meta-programming (Štuikys and Damaševičius, 2013) and feature-based modeling. For example, the paper (Czarnecki et al, 2005) discusses multi-stage configuration of feature diagrams and the paper (Classen et al, 2009) proposes the multi-level staged configuration of feature diagrams to facilitate configuration in SW product line engineering (PLE).…”

Section: The Term Stage and Relevant Methodologiesmentioning

confidence: 99%

“…In fact, the pedagogical staging motivates the need of using technological staging if one wants to achieve aims of automated adaptation. One can learn more on technological staging from stage-based (SB) programming (Taha, 1999;Taha, 2004) and SB meta-programming (Štuikys and Damaševičius, 2013).…”

Section: Motivation Of the Approachmentioning

confidence: 99%

“…In more specific terms, at least two languages are used in the He MPG paradigm: metalanguage and target language (Štuikys and Damaševičius, 2013). The first brings the notation for the external parameterization while the second represents the internal content to be manipulated by the constructs of the meta-language.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Stage-Based Generative Learning Object Model for Automated Content Adaptation

Štuikys¹,

Burbaitė²,

Bespalova³

et al. 2017

BJMC

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This paper introduces a Stage-Based (SB) Generative Learning Object (GLO) model to specify the learning content. Capabilities of the model are the content automatic generation and adaptation. Externally, our model has a similar structure as the known two-level generic models (i.e. metadata and content implementation). The internal structure, however, is quite different in both parts. The use of the external parameterization technology based on pre-programming predefines the internal structure. The SB model implements the deep internal staging by allocating parameters and functions (objects) into predefined stages according to the given context. The essence of the approach is the SB de-activation and activation of the objects within the specification. That ensures the automatic SB generation and flexibility for adaptation. We analyze the SB model capabilities, the use scenarios and processes, present a case study and extended results of using and evaluation in the robot-oriented computer science education.

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Section: The Term Stage and Relevant Methodologiesmentioning

confidence: 99%

Section: Motivation Of the Approachmentioning

confidence: 99%

See 1 more Smart Citation

Stage-Based Generative Learning Object Model for Automated Content Adaptation

Štuikys¹,

Burbaitė²,

Bespalova³

et al. 2017

BJMC

Self Cite

View full text Add to dashboard Cite

show abstract

“…Using the heterogeneous meta-programming technology [8] has been developed a meta-program that enables to generate robot control programs flexibly by changing technical parameters of the robot. The generated instances of the robot control programs are transferred to the robot, and are tested.…”

Section: Architecture Implementationmentioning

confidence: 99%

“…Heterogeneous meta-programming use at least two programming languages. A meta-language is used to describe a generalization of an algorithm; a target language describes a functionality of the domain [8]. We have chosen C++ language as the meta-language and RobotC as target language.…”

Section: Robot Control Program's Developmentmentioning

confidence: 99%