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Despite the abundance of analysis techniques to discover control-flow errors in workflow designs, there is hardly any support for data-flow verification. Most techniques simply abstract from data, while data dependencies can be the source of all kinds of errors. This paper focuses on the discovery of data-flow errors in workflows. We present an analysis(More)
We consider the relational characterisation of branching bisimilarity with explicit divergence. We prove that it is an equivalence and that it coincides with the original definition of branching bisimilarity with explicit divergence in terms of coloured traces. We also establish a correspondence with several variants of an action-based modal logic with(More)
Traditional data mining techniques have been extensively applied to find interesting patterns, build descriptive and predictive models from large volumes of data accumulated through the use of different information systems. The results of data mining can be used for getting a better understanding of the underlying educational processes, for generating(More)
—Embedded systems and their design trajectories are becoming increasingly complex, and there is a growing demand for performance, reliability, energy efficiency and low cost. To cope with these challenges, decision making early in the development trajectory needs to be supported by appropriate modeling and analysis. To achieve this support, we need to find(More)
A conceptual workflow model specifies the control flow of a workflow together with abstract data information. This model is later on refined to be executed on an information system. It is desirable that correctness properties of the conceptual workflow would be transferrable to its refinements. In this paper, we present classical workflow nets extended with(More)
Nowadays, due to increasing system complexity and growing competition and costs, industry makes high demands on powerful techniques used to design and analyze manufacturing systems. One of the most popular techniques to do performance analysis is simulation. However, simulation-based analysis cannot guarantee the correctness of a system, so it is less(More)
Computing and data intensive applications in physics, medicine, biology, graphics, and business intelligence require large and distributed infrastructures to address today's and tomorrow's challenges. For example, process mining applications are faced with terrabytes of event data and computationally expensive algorithms. Increasingly, computer grids are(More)