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A mapping study on empirical evidence related to the models and forms used in the uml
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Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement table of contents
Kaiserslautern, Germany
SESSION: Empirical evidence and systematic review table of contents
Pages 342-344  
Year of Publication: 2008
ISBN:978-1-59593-971-5
Authors
Rialette Pretorius  Durham University, Durham, United Kingdom
David Budgen  Durham University, Durham, United Kingdom
Sponsors
SIGSOFT: ACM Special Interest Group on Software Engineering
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Context: Although the Unified Modeling Language (UML) is now widely used, there is little empirical knowledge about the effectiveness of its different elements.

Objectives: To conduct a systematic review of the literature describing empirical studies of this paradigm.

Method: We undertook a Mapping Study of the literature, based upon electronic searching of major digital libraries.

Results: 33 papers have been identified and classified by topic, form of study involved, and type of publication.

Conclusions: The largest group of empirical studies of the UML concentrate on comprehension, and many key aspects have hardly been investigated at all.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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B. Kitchenham and S. Charters. Guidelines for performing Systematic Literature Reviews in Software Engineering. Technical Report EBSE 2007-001, Keele University and Durham University Joint Report, 2007.
 
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M. Petticrew and H. Roberts. Systematic Reviews in the Social Sciences: A Practical Guide. Blackwell Publishing, 2006.
 
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Collaborative Colleagues:
Rialette Pretorius: colleagues
David Budgen: colleagues