• DocumentCode
    259448
  • Title

    EPISODE: An Extreme Programming Method for Innovative Software Based on Systems Design

  • Author

    Goto, Tetsu ; Tsuchida, Kensei ; Nishino, Takanori

  • Author_Institution
    Univ. of Electro-Commun., Chofu, Japan
  • fYear
    2014
  • fDate
    Aug. 31 2014-Sept. 4 2014
  • Firstpage
    780
  • Lastpage
    784
  • Abstract
    In software development, the waterfall model is commonly used, especially for large-scale software systems. For smaller-scale software development, agile software development approaches such as extreme programming or scrum are used. Traditional software development methodologies are mainly targeted toward customer-centric development, and therefore, new software methodologies are often not well received in the industry. In this study, we propose a new software development methodology that is aimed at developing innovative software using artificial intelligence (AI), idea creation, value engineering, and systems design. The name of our method is named as EPISODE (Extreme Programming method for Innovative Software based on systems DEsign). EPISODE supports the efficient and creative development of open source software (OSS) by small groups.
  • Keywords
    artificial intelligence; innovation management; public domain software; software prototyping; systems analysis; value engineering; EPISODE; agile software development; articial intelligence; customer-centric development; extreme programming method for innovative software based on system design; idea creation; large-scale software systems; open source software; scrum; smaller-scale software development; value engineering; Educational institutions; Encoding; Planning; Programming profession; Software; Extreme Programming; Open Source Software; Value engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Applied Informatics (IIAIAAI), 2014 IIAI 3rd International Conference on
  • Conference_Location
    Kitakyushu
  • Print_ISBN
    978-1-4799-4174-2
  • Type

    conf

  • DOI
    10.1109/IIAI-AAI.2014.157
  • Filename
    6913401