DocumentCode
2347442
Title
Developing Production Rule Models to Aid in Acquiring Requirements from Legal Texts
Author
Maxwell, Jeremy C. ; Antón, Annie I.
Author_Institution
North Carolina State Univ., Raleigh, NC, USA
fYear
2009
fDate
Aug. 31 2009-Sept. 4 2009
Firstpage
101
Lastpage
110
Abstract
Regulatory compliance is an important consideration for requirements engineering because recent regulations impose costly penalties for noncompliance. This paper details how developing production rule models can aid in acquiring software requirements from regulatory texts. Production rules enable requirements engineers to gain valuable domain knowledge of a particular legal text by providing the ability to receive precise answers to a specific query. In particular, a production rule model facilitates communication between requirements engineers and legal domain experts, supports and augments requirements elicitation, and resolves ambiguity. Prior work in this area has failed to detail a precise methodology for translating a legal text into production rules, and considered using production rule models for aiding requirements elicitation and validation. This paper introduces our production rule modeling methodology, and demonstrates this methodology using examples from a production rule model for four sections of the U.S. Heath Insurance Portability and Accountability Act (HIPAA).
Keywords
law; software engineering; systems analysis; domain knowledge; legal texts; production rule models; regulatory compliance; requirements elicitation; requirements engineering; software requirements; Costs; Government; Insurance; Knowledge engineering; Law; Legal factors; Legislation; Privacy; Production; Protection; Requirements engineering; logic programming; production rule modeling; regulatory compliance;
fLanguage
English
Publisher
ieee
Conference_Titel
Requirements Engineering Conference, 2009. RE '09. 17th IEEE International
Conference_Location
Atlanta, GA
ISSN
1090-705X
Print_ISBN
978-0-7695-3761-0
Type
conf
DOI
10.1109/RE.2009.21
Filename
5328596
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