Conquering Complexity 2012
DOI: 10.1007/978-1-4471-2297-5_12
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Conquering Complexity via Seamless Integration of Design-Time and Run-Time Verification

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Cited by 5 publications
(3 citation statements)
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“…the taxonomy of uncertainty in [13]), type of adaptation required (cf. the SBS adaptations from, e.g., [2]- [4], [8], [10]), and type(s) of requirements that these adaptations aim to meet. Within these scenarios, we propose the evaluation and comparison of different self-adaptation solutions based on quality attributes and metrics described in [14] and summarised in Table II. …”
Section: Fig 1 Tas Workflowmentioning
confidence: 99%
See 1 more Smart Citation
“…the taxonomy of uncertainty in [13]), type of adaptation required (cf. the SBS adaptations from, e.g., [2]- [4], [8], [10]), and type(s) of requirements that these adaptations aim to meet. Within these scenarios, we propose the evaluation and comparison of different self-adaptation solutions based on quality attributes and metrics described in [14] and summarised in Table II. …”
Section: Fig 1 Tas Workflowmentioning
confidence: 99%
“…TAS was originally introduced in [2], and has the advantage that it has already been used in the evaluation of several self-adaptation solutions [3], [4], [8], [10], albeit based on ad-hoc implementations, scenarios and evaluation metrics that make the comparison of these solutions and its use to evaluate other solutions very difficult. To address these limitations, we implemented TAS using our new Research Service Platform (ReSeP 1 ), and we propose predefined concrete scenarios for its immediate use in the evaluation of self-adaptation solutions.…”
Section: Introductionmentioning
confidence: 99%
“…This research has been partially funded by the European Commission, Programme IDEAS-ERC, Project 227977-SMScom. Other publications of the author include [10,4,7,3,12,13,11]. He is also co-author of the Dagstuhl proceedings book "Model Driven Quality Prediction" (Springer ed.…”
Section: Acknowledgmentsmentioning
confidence: 99%