• DocumentCode
    3442563
  • Title

    Business-Driven Acceptance Testing Methodology and Its Practice for E-Government Software Systems

  • Author

    Nomura, Naoki ; Kikushima, Yasuhiro ; Aoyama, Masahito

  • Author_Institution
    ITOCHU Techno-Solutions Corp., Tokyo, Japan
  • Volume
    2
  • fYear
    2013
  • fDate
    2-5 Dec. 2013
  • Firstpage
    99
  • Lastpage
    104
  • Abstract
    To deliver a business information system, it is necessary to not only verify the system, but also validate the system in order to assure the system can provide the business value which the users expect. However, conventional acceptance testing only confirms that the system meets the requirements specifications. Therefore, it is difficult to detect lack of user requirements. This article proposes business-driven acceptance testing methodology in order to validate the system by confirming the system meets the users´ business requirements. We explain the testing process, test case selection technique, test scenario design method, and discuss the experiences in the application of the proposed method to a large-scale human resource management system shared by multiple ministries and agencies of Japanese government.
  • Keywords
    business data processing; formal specification; government data processing; human resource management; information systems; Japanese government; business information system; business-driven acceptance testing methodology; e-government software systems; large-scale human resource management system; requirements specifications; test case selection technique; test scenario design method; user requirement detection; Context; Educational institutions; Government; Information systems; Testing; Business and Context Matrix; Business-Driven Acceptance Testing; Persona; Requirements Validation; Test scenario; User Acceptance Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Conference (APSEC), 2013 20th Asia-Pacific
  • Conference_Location
    Bangkok
  • ISSN
    1530-1362
  • Print_ISBN
    978-1-4799-2143-0
  • Type

    conf

  • DOI
    10.1109/APSEC.2013.122
  • Filename
    6754361