Natūraliosios kalbos šablonais užrašytų veiklos taisyklių panaudojimas projektuojant ir realizuojant IS /

The main purpose of this paper is to create a methodology for the transition of formalized, natural language templates based business rules to formal Ross charts. For this purpose these tasks were determined : 1. Examine the concept of business rules, its specification using natural language templates and the BRS RuleSpeak model. 2. Examine the modelling of business rules according to the Ross method. 3. Create a methodology by which the rules expressed by the modified BRS RuleSpeak would be transformed into rules based on the modified Ross method. 4. To test and evaluate the developed methodology. The natural language templates and Ross charts methods were compared and the similarities of their models, patterns, syntactic elements and types of business rules groups were distinguished. According to the results of the comparison the methodology defining the transformation of BRS RuleSpeak natural language templates based on business rules to the Ross charts expressed models was created.. The main results of the work are: - The analysis of natural language templates expressed business rules according to BRS RuleSpeak method and their transition to Ross models was made; - A methodology for the transition of the requirements to the design specifications stage was created; - 6 steps of the transformation from BRS RuleSpeak natural language templates based BR on Ross charts were distinguished;. The automation of the transition of the rule-based requirements to formal models is possible only in part. The design process is greatly accelerated. The volume of the paper is 67 pages. In the main chapters there are 17 tables and 36 pictures.

Grantor dc:publisher

Institutional Repository of Vilnius University

Year dc:date

2010

Author dc:creator

• Jonaitytė, Rita,

Contributors dc:contributor

• Garšva, Gintautas

Statement dc:rights

• info:eu-repo/semantics/openAccess

Language dc:language

lit

Repository record dc:identifier

https://repository.vu.lt/VU:ELABAETD1937960&prefLang=en_US

OAI identifier oai:identifier

oai:vu.lt:elaba:1937960