By the same authors

Designing Robust Software Systems through Parametric Markov Chain Synthesis

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

Full text download(s)

Author(s)

Department/unit(s)

Publication details

Title of host publicationIEEE International Conference on Software Architecture (ICSA 2017)
DateAccepted/In press - 13 Feb 2017
DatePublished (current) - Apr 2017
Pages1-10
Number of pages10
PublisherIEEE
Original languageEnglish

Abstract

We present a method for the synthesis of software system designs that satisfy strict quality requirements, are Pareto-optimal with respect to a set of quality optimisation criteria, and are robust to variations in the system parameters. To this end, we model the design space of the system under development as a parametric continuous-time Markov chain (pCTMC) with discrete and continuous parameters that correspond to alternative system architectures and to the ranges of possible values for configuration parameters, respectively. Given this pCTMC and required tolerance levels for the configuration parameters, our method produces a sensitivity-aware Pareto-optimal set of designs, which allows the modeller to inspect the ranges of quality attributes induced by these tolerances, thus enabling the effective selection of robust designs. Through application to two systems from different domains, we demonstrate the ability of our method to synthesise robust designs with a wide spectrum of useful tradeoffs between quality attributes and sensitivity.

Bibliographical note

© Copyright 2018 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.

Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations