Reliability of run-time quality-of-service evaluation using parametric model checking
RIS ID
113667
Abstract
Run-time Quality-of-Service (QoS) assurance is crucial for business-critical systems. Complex behavioral performance metrics (PMs) are useful but often difficult to monitor or measure. Probabilistic model checking, especially parametric model checking, can support the computation of aggregate functions for a broad range of those PMs.
COinS
Publication Details
Su, G., Rosenblum, D. & Tamburrelli, G. (2016). Reliability of run-time quality-of-service evaluation using parametric model checking. IEEE/ACM 38th International Conference on Software Engineering (ICSE 2016) (pp. 1-12). IEEE Xplore: IEEE.