Agile Requirements Engineering for a Social Insurance for Occupational Risks Organization: A Case Study

Mario Pichler, Hildegard Rumetshofer, Wilhelm Wahler

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

The objective of this paper is to report on the challenges and experiences gained during a three years multidisciplinary software development project in the insurance domain, focusing on the employed requirements process. Although, there has been consensus on an agile development process among the project partners, this approach stands in some contrast to the traditional (standardized or regulated) development processes commonly employed in the insurance domain, or general, in the public sector. The lessons learned of applying an agile requirements process under the conditions of traditional processes at the customer's site; geographically distributed offices of the customer and development team; diverse interests of involved customers' departments, administrative and operational staff; limited availability of field workers etc. are provided as recommendations for other research and development institutions. Thereby, the viewpoint of each project partner, including the customer's perspective, is described.
Original languageEnglish
Title of host publication14 th IEEE International Requirements Engineering Conference 2006, Minneapolis/St. Paul, Minnesota, USA, Sept. 11-15,2006.
Editors Martin Glinz, Robyn Lutz
Place of PublicationLos Alamitos, California
PublisherIEEE Computer Society
Pages251-256
Number of pages6
ISBN (Print)0-7695-2555-5
Publication statusPublished - Sept 2006

Publication series

NameProceedings of the IEEE International Symposium on Requirements Engineering
ISSN (Print)1090-705X

Fields of science

  • 102001 Artificial intelligence
  • 102006 Computer supported cooperative work (CSCW)
  • 102010 Database systems
  • 102014 Information design
  • 102015 Information systems
  • 102016 IT security
  • 102028 Knowledge engineering
  • 102019 Machine learning
  • 102022 Software development
  • 102025 Distributed systems
  • 502007 E-commerce
  • 505002 Data protection
  • 506002 E-government
  • 509018 Knowledge management
  • 202007 Computer integrated manufacturing (CIM)
  • 102033 Data mining
  • 102035 Data science

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