• 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