Stefano Di Alesio

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Software safety certification needs to address non-functional constraints with safety implications, e.g., deadlines, throughput, and CPU and memory usage. In this paper, we focus on CPU usage constraints and provide a framework to support the derivation of test cases that maximize the chances of violating CPU usage requirements. We develop a conceptual(More)
—Safety-critical real-time applications are typically subject to stringent timing constraints which are dictated by the surrounding physical environments. Specifically, tasks in these applications need to finish their execution before given deadlines, otherwise the system is deemed unsafe. It is therefore important to test real-time systems for deadline(More)
Past research has proposed association rule mining as a means to uncover the evolutionary coupling from a system's change history. These couplings have various applications, such as improving system decomposition and recommending related changes during development. The <i>strength</i> of the coupling can be characterized using a variety of(More)
Real-Time Embedded Systems (RTES) in safety-critical domains, such as maritime and energy, must satisfy strict performance requirements to be deemed safe. Therefore, such systems have to be thoroughly tested to ensure their correct behavior even under the worst operating conditions. In this paper, we address the need of deriving worst case scenarios with(More)
Association rule mining is an unsupervised learning technique that infers relationships among items in a data set. This technique has been successfully used to analyze a system's change history and uncover <em>evolutionary coupling</em> between system artifacts. Evolutionary coupling can, in turn, be used to <em>recommend</em> artifacts that are potentially(More)