Published Jun 20, 2016



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José Bocanegra-García, MSc

Jaime Pavlich-Mariscal, PhD

Angela Carrillo-Ramos, PhD

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Abstract

An adaptive software has the ability to modify its own behavior at runtime due to changes in the users and their context in the system, requirements, or environment in which the system is deployed, and thus, give the users a better experience. However, the development of this kind of systems is not a simple task. There are two main issues: (1) there is a lack of languages to specify, unambiguously, the elements related to the design phase. As a consequence, these systems are often developed in an ad-hoc manner, without the required formalism, augmenting the complexity in the process of derivation of design models to the next phases in the development cycle. (2) Design decisions and the adaptation model tend to be directly implemented into the source code and not thoroughly specified at the design level. Since the adaptation models become tangled with the code, system evolution becomes more difficult. To address the above issues, this paper proposes DMLAS, a Domain-Specific Language (DSL) to design adaptive systems. As proof of concept, this paper also provides a functional prototype based on the Sirius plugin for Eclipse. This prototype is a tool to model, in several layers of abstraction, the main components of an adaptive system. The notation used both in the models and the tool was validated against the nine principles for designing cognitively effective visual notations presented by Moody.

Keywords

Adaptation, adaptive software, context, design, domainspecific language, model-driven engineering, notationadaptación, contexto, ingeniería dirigida por modelos, lenguages específicos de dominio, notación, software adaptativo

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How to Cite
Bocanegra-García, J., Pavlich-Mariscal, J., & Carrillo-Ramos, A. (2016). Towards a Domain-Specific Language to Design Adaptive Software: the DMLAS Approach. Ingenieria Y Universidad, 20(2), 335-354. https://doi.org/10.11144/Javeriana.iyu20-2.tdsl
Section
Industrial and systems engineering