Yasmin Rafiq

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A growing number of business and safety-critical services are delivered by computer systems designed to reconfigure in response to changes in workloads, requirements and internal state. In recent work, we showed how a formal technique called continual verification can be used to ensure that such systems continue to satisfy their reliability and performance(More)
Markovian models are widely used to analyse quality-of-service properties of both system designs and deployed systems. Thanks to the emergence of probabilistic model checkers, this analysis can be performed with high accuracy. However, its usefulness is heavily dependent on how well the model captures the actual behaviour of the analysed system. Our work(More)
We present a tool-supported framework for the engineering of service-based systems (SBSs) capable of self-verifying their compliance with developer-specified reliability requirements. These self-verifying systems select their services dynamically by using a combination of continual quantitative verification and online updating of the verified models. Our(More)
We present the theory underpinning the operation of a new tool-supported approach to engineering self-adaptive service-based systems (SBSs), and preliminary results from its evaluation in a telehealth case study. SBSs developed using our approach select their services dynamically, in order to maintain compliance with reliability requirements in the presence(More)
Cloud-based systems are used to deliver business-critical and safety-critical services in domains ranging from e-commerce and e-government to finance and healthcare. Many of these systems must comply with strict non-functional requirements while evolving in order to adapt to changing workloads and environments. To achieve this compliance, formal techniques(More)
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