TY - GEN
T1 - Dynamic SPL and derivative development with uncertainty management for DevOps
AU - Nakanishi, Tsuneo
AU - Furusho, Hiroki
AU - Hisazumi, Kenji
AU - Fukuda, Akira
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/31
Y1 - 2016/8/31
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84988849770&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84988849770&partnerID=8YFLogxK
U2 - 10.1109/IIAI-AAI.2016.240
DO - 10.1109/IIAI-AAI.2016.240
M3 - Conference contribution
AN - SCOPUS:84988849770
T3 - Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
SP - 244
EP - 249
BT - Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
A2 - Hiramatsu, Ayako
A2 - Matsuo, Tokuro
A2 - Kanzaki, Akimitsu
A2 - Komoda, Norihisa
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
Y2 - 10 July 2016 through 14 July 2016
ER -