Dynamic SPL and derivative development with uncertainty management for DevOps

Tsuneo Nakanishi, Hiroki Furusho, Kenji Hisazumi, Akira Fukuda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this papers, the authors see dynamic SPL as a technical mean to achieve DevOps and propose a process to construct the dynamic adaptive system (for dynamic SPL) and its operation process. The process conducts uncertainty modeling in beginning, identifies uncertainties, divides them into smaller uncertainties and studies needed development and operation works for each possible solution to the known uncertainty. Requirements are separated into ones satisfied by the dynamic adaptive system and ones satisfied by its operation process. Requirements relating to known uncertainty is satisfied by reconfiguration of the dynamic adaptive system, namely dynamic SPL technologies. On the other hand, additional and change requirements to the dynamic adaptive system and its operation process found in operation, which are relating to unknown uncertainties, are realized by derivative development process. The proposed process achieves DevOps's goal by combination of reconfiguration and evolution of the dynamic adaptive system.

Original languageEnglish
Title of host publicationProceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
EditorsAyako Hiramatsu, Tokuro Matsuo, Akimitsu Kanzaki, Norihisa Komoda
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages244-249
Number of pages6
ISBN (Electronic)9781467389853
DOIs
Publication statusPublished - 2016 Aug 31
Externally publishedYes
Event5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 - Kumamoto, Japan
Duration: 2016 Jul 102016 Jul 14

Publication series

NameProceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016

Other

Other5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
Country/TerritoryJapan
CityKumamoto
Period16/7/1016/7/14

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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