DocumentCode :
3067506
Title :
Conceptual modeling through linguistic analysis using LIDA
Author :
Overmyer, Scott P. ; Benoit, L. ; Owen, R.
Author_Institution :
Massey Univ., Albany, New Zealand
fYear :
2001
fDate :
12-19 May 2001
Firstpage :
401
Lastpage :
410
Abstract :
Despite the advantages that object technology can provide to the software development community and its customers, the fundamental problems associated with identifying objects, their attributes, and methods remain: it is a largely manual process driven by heuristics that analysts acquire through experience. While a number of methods exist for requirements development and specification, very few tools exist to assist analysts in making the transition from textual descriptions to other notations for object-oriented analysis and other conceptual models. We describe a methodology and a prototype tool. Linguistic Assistant for Domain Analysis (LIDA), which provide linguistic assistance in the model development process. We first present our methodology to conceptual modeling through linguistic analysis. We give an overview of LIDA´s functionality and present its technical design and the functionality of its components. We also provide a comparison of LIDA´s functionality with that of other research prototypes. Finally, we present an example of how LIDA is used in a conceptual modeling task.
Keywords :
formal specification; object-oriented methods; software tools; LIDA; Linguistic Assistant for Domain Analysis; conceptual modeling; conceptual models; heuristics; linguistic analysis; linguistic assistance; model development process; object technology; object-oriented analysis; requirements development; software development community; specification; textual descriptions; Books; Computer aided software engineering; Cyclic redundancy check; Information analysis; Manuals; Object oriented modeling; Programming; Prototypes; Software tools; Unified modeling language;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, 2001. ICSE 2001. Proceedings of the 23rd International Conference on
ISSN :
0270-5257
Print_ISBN :
0-7695-1050-7
Type :
conf
DOI :
10.1109/ICSE.2001.919113
Filename :
919113
Link To Document :
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