Visual tool for generative programming

Grigorenko, Pavel; Saabas, Ando; Tyugu, Enn

doi:10.1145/1081706.1081747

Cited by 10 publications

(4 citation statements)

References 6 publications

(3 reference statements)

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“…On the other hand, the approach presented in our paper has some similarities with metaclass based approaches described in Grigorenko et al (2005;Tolvanen and Rossi, 2003;De Lara and Vangheluwe, 2004). This model is also based on UML and have some similarities in testing phase with (Xu et al, 2008).…”

Section: Introductionmentioning

confidence: 82%

Common Metamodel of Component Diagram and Feature Diagram in Generative Programming

Novak

Magdalenić

Radošević

2016

Journal of Computer Science

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Component-based software engineering and generative programming are common approaches in software engineering. Each approach has some benefits and domain of usage. Component-based development is used to build autonomous components that can be further combined in different ways, while generative programming is more suitable when building systems that have different variants. Before a variable component based system can be build, it needs to be modeled. In this article, a new common metamodel that aims to enable modeling a system which combines both component-based development and generative programming is introduced. The introduced metamodel proposed in this paper combines the component diagram that is used to model systems in component-based development and the feature diagram that is employed in modeling systems in generative programming. The combined metamodel enables modeling of variable systems using components.

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Section: Introductionmentioning

confidence: 82%

Common Metamodel of Component Diagram and Feature Diagram in Generative Programming

Novak

Magdalenić

Radošević

2016

Journal of Computer Science

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“…The following components are included to the automated process: a computational model, the planner, an algorithm and the generated Java code. For more details we refer to Grigorenko et al (2005).…”

Section: The Cocovila Systemmentioning

confidence: 99%

Semi-automated integration of domain ontologies to DSL meta-models

Haav

Ojamaa

2017

IJIIDS

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This paper investigates the use of ontologies for the development of Domain-Specific Languages (DSL). In Model-based Software Development (MBSD), ontologies as formal models are mostly used in the phase of domain analysis as formal representations of domain models and requirements of a system. In this paper, we extend this view by introducing a concept of a DSL meta-model ontology that is defined as consisting of system ontology of a MSDB tool linked to one or more domain ontologies and external software artefacts. According to the solution presented in this paper, the given domain ontologies are semi-automatically integrated into a DSL meta-model using a set of transformations between constructs of ontology modelling language OWL and a modelling language used for representing DSL meta-models. This approach enables a dynamic semantic composition of a DSL meta-model and is prototypically implemented in Java as an extension to the DSL development tool CoCoViLa.Reference to this paper should be made as follows: Haav, H-M. and Ojamaa, A. (2017) 'Semi-automated integration of domain ontologies to DSL meta-models', Int. . His current research interests are in model-based software development and cyber security. This paper is a revised and expanded version of a paper entitled 'Semi-automated generation of DSL meta models from formal domain ontologies' presented at 5th International Conference on Model and Data Engineering (MEDI), Rhodes Island, Greece, 26-28 September 2015.

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“…Consequently, there is a difference in relation to metaclass-based approaches, as described by Grigorenko et al [7] Tolvanen and Rossi [20] and De Lara and Vangheluwe [3]. Metascripts are not strictly tied to particular classes and other program units to be generated.…”

Section: Related Workmentioning

confidence: 99%

Introducing Polymorphic Features into a Scripting Model of Generator

Radošević

Magdalenić

2011

CIT

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Generative programming is a discipline of Automatic programming which strives to make application and the generator development process flexible and generated program code optimized. Because of the lack of appropriate graphic and aspect based generator models, we developed the Scripting model of generator, as a static generator model based on higher level scripts. This paper gives a formal definition of the Scripting model and describes how basic object model properties, like encapsulation, inheritance, and now, polymorphism are achieved. This offers some advantages in generative application development, such as more precise application specification, better generator reusability, and simpler generator model and its easier implementation. The introduced polymorphic features are presented in an illustrative example of a Java application generator.

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Visual tool for generative programming

Cited by 10 publications

References 6 publications

Common Metamodel of Component Diagram and Feature Diagram in Generative Programming

Common Metamodel of Component Diagram and Feature Diagram in Generative Programming

Semi-automated integration of domain ontologies to DSL meta-models

Introducing Polymorphic Features into a Scripting Model of Generator

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