Optimizing Monitoring Requirements in Self-adaptive Systems

This source preferred by Raian Ali

Authors: Ali, R., Griggio, A., Franzén, A., Dalpiaz, F. and Giorgini, P.

http://eprints.bournemouth.ac.uk/19982/

Start date: 25 June 2012

Publisher: EMMSAD

This data was imported from DBLP:

Authors: Ali, R., Griggio, A., Franzén, A., Dalpiaz, F. and Giorgini, P.

Editors: Bider, I., Halpin, T.A., Krogstie, J., Nurcan, S., Proper, E., Schmidt, R., Soffer, P. and Wrycza, S.

http://eprints.bournemouth.ac.uk/19982/

http://dx.doi.org/10.1007/978-3-642-31072-0

Journal: BMMDS/EMMSAD

Volume: 113

Pages: 362-377

Publisher: Springer

ISBN: 978-3-642-31071-3

DOI: 10.1007/978-3-642-31072-0_25

This data was imported from Scopus:

Authors: Ali, R., Griggio, A., Franzén, A., Dalpiaz, F. and Giorgini, P.

http://eprints.bournemouth.ac.uk/19982/

Journal: Lecture Notes in Business Information Processing

Volume: 113 LNBIP

Pages: 362-377

ISBN: 9783642310713

ISSN: 1865-1348

DOI: 10.1007/978-3-642-31072-0_25

Monitoring the system environment is a key functionality of a self-adaptive system. Monitoring requirements denote the information a self-adaptive system has to capture at runtime to decide upon whether an adaptation action has to be taken. The identification of monitoring requirements is a complex task which can easily lead to redundancy and uselessness in the set of information to monitor and this, consequently, means unjustified instalment of monitoring infrastructure and extra processing time. In this paper, we study the optimization of monitoring requirements. We discuss the case of contextual goal model, which is a requirements model that weaves between variability of goals (functional and non-functional requirements) and variability of context (monitoring requirements) and is meant to be used for modelling mobile and self-adaptive systems requirements. We provide automated analysis -based on a SAT-solver- to process a contextual goal model and find a reduced set of contextual information to monitor guaranteeing that this reduction does not sacrifice the system ability of taking correct adaptation decisions when fulfilling its requirements. © 2012 Springer-Verlag Berlin Heidelberg.

This data was imported from Web of Science (Lite):

Authors: Ali, R., Griggio, A., Franzen, A., Dalpiaz, F. and Giorgini, P.

http://eprints.bournemouth.ac.uk/19982/

Journal: ENTERPRISE, BUSINESS-PROCESS AND INFORMATION SYSTEMS MODELING, BPMDS 2012

Volume: 113

Pages: 362-377

ISBN: 978-3-642-31071-3

ISSN: 1865-1348

The data on this page was last updated at 04:46 on November 24, 2017.