doi: 10.17706/jsw.13.1.18-42
A New Framework for Classifying Information Systems Modelling Languages
Abstract—The comparative survey shows that there are many Domain Specific Languages (DSMLs) adopted in various Model-Driven Engineering (MDE) approaches for information systems engineering. Choosing the appropriate DSML depends on the type of the target information system(IS), as well as the technical and modelling skills of the developing team. Adopting the right DSML is considered adifficult issue for casual designers, domain experts with limited modelling skills. Therefore, introducing a simplified DSML that describes ISin a higher-level of abstraction way than existing DSML approaches supports business users to contribute more inthe development process. In this work, a classification framework is introduced to categorise thirteen DSMLs, based on the target type of IS, into four major categories, namely, (1) DSMLs for n-tier web application development, (2) DSMLs for cloud-based applications development, (3) DSMLs for mobile-based applications development and (4) DSMLs for tier-specific enterprise applications development.Feature modelling technique was adopted to compare and categorise modelling languages. Sharinga common similarity are clustered together into higher-level categories in the hierarchyas the main characteristics from different modelling languages. At the end, the resulting framework is documented using a multiple-level feature diagram to support domain expert decisions of choosing a DSML that suits their needs; And provide common DSML features to be adopted in constructing a simplified DSML that supports Lightweight MDE development.
Index Terms—Domain-specific modelling languages, end-user development, information systems engineering, lightweight model-driven engineering
Cite: Ahmad F. Subahi, Youseef Alotaibi, "CA New Framework for Classifying Information Systems Modelling Languages," Journal of Software vol. 13, no. 1, pp. 18-42, 2018.
General Information
ISSN: 1796-217X (Online)
Abbreviated Title: J. Softw.
Frequency: Quarterly
APC: 500USD
DOI: 10.17706/JSW
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Cecilia Xie
Abstracting/ Indexing: DBLP, EBSCO,
CNKI, Google Scholar, ProQuest,
INSPEC(IET), ULRICH's Periodicals
Directory, WorldCat, etcE-mail: jsweditorialoffice@gmail.com
-
Jun 12, 2024 News!
Vol 19, No 2 has been published with online version [Click]
-
Jan 04, 2024 News!
JSW will adopt Article-by-Article Work Flow
-
Apr 01, 2024 News!
Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec) [Click]
-
Apr 01, 2024 News!
Papers published in JSW Vol 18, No 1- Vol 18, No 6 have been indexed by DBLP [Click]
-
Mar 01, 2024 News!
Vol 19, No 1 has been published with online version [Click]