Change search
ReferencesLink to record
Permanent link

Direct link
Improving Modeling with UML by Stereotype-based Language Customization
Blekinge Institute of Technology, School of Engineering, Department of Systems and Software Engineering.
2005 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Graphical modeling is becoming an increasingly important part of software engineering as it provides means of increasing productivity by raising the level of abstraction in software devel-opment. One of the most widely adopted modeling notations is the Unified Modeling Language (UML) which has gained popularity due to its generality and broad applicability. Despite its advantages, this general purpose notation is burdened with the lack of purpose specific model-ing abstractions. The modeling abstractions in the language lack specialized properties and thus models might not precisely express the intentions of the modeler. In consequence, this leads to ineffectiveness of using models in UML. This thesis presents research aimed at improving modeling with UML. By exploiting the language customization mechanisms inherent in UML – stereotypes and profiles – the research presented in the thesis explores such aspects of improving modeling as creating language cus-tomizations or using a customized modeling language. The context, in which the modeling is considered, is delineated by the principles of model driven software development (MDD). The principles recognize the usage of models as the primary artefacts in software development thus providing a solid foundation for considering the use of models in software development. One of the contributions in the thesis is the identification and definition of factors determin-ing the successful realization of MDD in industry. These factors provide means of positioning language customization in the forefront of MDD. Another contribution in the thesis is eliciting and prioritizing a set of criteria for choosing between language customization mechanisms, which is a result of another industrial case study. A series of experiments in academic and industrial environments showed the magnitude of improvements to be expected after replacing a standard modeling language with a customized modeling notation. This series of experiments provided a basis for experimenting with stereo-types and software inspections which indicated a considerable increase in effectiveness of the reading techniques used in software inspections after replacing a standard notation with a cus-tomized one. The results from all empirical studies affected the development of quality assessment crite-ria for stereotypes. The criteria and the exploration of several existing profiles led to the devel-opment of guidelines for creating “good” stereotypes by analyzing existing UML profiles. An additional contribution in the thesis is exploring the usage of an alternative mechanism to stereo-types – model libraries – for adaptation of a modeling language. The way in which model librar-ies can be created in an efficient way is studied by creating a method for extracting knowledge from ontologies into UML domain models. The results of the research presented in the thesis show how to improve modeling with UML by customizing the language with stereotypes. The main contribution is the exploration and evaluation of issues related to creating language customizations and using the customized language.

Place, publisher, year, edition, pages
Karlskrona: Blekinge Institute of Technology , 2005. , 292 p.
Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090 ; 8
Keyword [en]
UML, Software Engineering, Modeling, Software Development, MDA, Model Driven Development, Unified Modeling Language
National Category
Software Engineering Computer Science
URN: urn:nbn:se:bth-00270Local ID: 91-7295-076-5OAI: diva2:833676
Available from: 2015-06-25 Created: 2005-11-23 Last updated: 2015-06-30Bibliographically approved

Open Access in DiVA

fulltext(2212 kB)35 downloads
File information
File name FULLTEXT01.pdfFile size 2212 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Department of Systems and Software Engineering
Software EngineeringComputer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 35 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 61 hits
ReferencesLink to record
Permanent link

Direct link