TY - GEN
T1 - An empirical study of software reliability in SDN controllers
AU - Vizarreta, Petra
AU - Trivedi, Kishor
AU - Helvik, Bjarne
AU - Heegaard, Poul
AU - Kellerer, Wolfgang
AU - MacHuca, Carmen Mas
N1 - Publisher Copyright:
© 2017 IFIP.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Software Defined Networking (SDN) exposes critical networking decisions, such as traffic routing or enforcement of the critical security policies, to a software entity known as the SDN controller. Controller software, as written by humans, is intrinsically prone to bugs, which may impair the network performance as a whole, if activated. Software reliability growth models (SRGM) are often used to estimate and predict the reliability of the software in the operational phase based on the fault report data during the testing phase. These models can be used to predict the number of residual bugs in the software, as well as failure intensity, software reliability and optimal software release time. In this paper we analyze ten releases of ONOS open source controller, whose uncensored fault reports are available online.
AB - Software Defined Networking (SDN) exposes critical networking decisions, such as traffic routing or enforcement of the critical security policies, to a software entity known as the SDN controller. Controller software, as written by humans, is intrinsically prone to bugs, which may impair the network performance as a whole, if activated. Software reliability growth models (SRGM) are often used to estimate and predict the reliability of the software in the operational phase based on the fault report data during the testing phase. These models can be used to predict the number of residual bugs in the software, as well as failure intensity, software reliability and optimal software release time. In this paper we analyze ten releases of ONOS open source controller, whose uncensored fault reports are available online.
UR - http://www.scopus.com/inward/record.url?scp=85046671289&partnerID=8YFLogxK
U2 - 10.23919/CNSM.2017.8256002
DO - 10.23919/CNSM.2017.8256002
M3 - Conference contribution
AN - SCOPUS:85046671289
T3 - 2017 13th International Conference on Network and Service Management, CNSM 2017
SP - 1
EP - 9
BT - 2017 13th International Conference on Network and Service Management, CNSM 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Network and Service Management, CNSM 2017
Y2 - 26 November 2017 through 30 November 2017
ER -