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A Spiral Process Model for Case Studies on Software Quality Monitoring - Method and Metrics

This article presents a spiral process model for an iterative case study on quality monitoring, conducted in an industrial environment. In a highly iterative project, everything seems to happen at the same time: analysis, design and testing. We propose a spiral process model for case studies, and present a study conducted according to the proposed process. In the study, metrics collected from thre

A Scalable Formulation for Engineering Combination Therapies for Evolutionary Dynamics of Disease

It has been shown that optimal controller synthesis for positive systems can be formulated as a linear program. Leveraging these results, we propose a scalable iterative algorithm for the systematic design of sparse, small gain feedback strategies that stabilize the evolutionary dynamics of a generic disease model. We achieve the desired feedback structure by augmenting the optimization problems w

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The present article is a translation—to Farsi—of an article by Dr. Kaveh Madani (lecturer in Environmental Management at the Centre for Environmental Policy, Imperial College London) and Nazanin Soroush (Middle East political analyst), entitled "Every breath you take: the environmental consequences of Iran sanctions", published in The Guardian 21 November 2014. The article discusses how both the

Problems of Succession in the GCC States

The noted remarkable capacity of the Gulf ruling families to mobilise external and internal sources of power seems to have reached its limits. Gulf rulers also seem aware that they have lost the advantages associated with their special regional role throughout the Cold War era. The geo-political context within which they have operated has altered throughout the 1990s. Furthermore, decades of econo

A Convex Optimization-Based Approach to Control of Uncertain Execution Platforms

The problem of resource management in a sys- tem of a-priori unknown software components executing on nondeterministic hardware is considered. The approach uses on-line parameter estimation to address uncertainties and combines this with a convex optimization-based control scheme able to handle overload situations. An algorithm to solve the optimization in real-time is presented together with perf