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We address the problem of increasing the impact of formal methods in the practice of industrial computer applications. We summarize the reasons why formal methods so far did not gain widespread use within the industrial environment despite several promising experiences. We suggest an evolutionary rather than revolutionary attitude in the introduction of formal methods in the practice of industrial applications and we report on our long-standing experience which involves an academic institution, Politecnico di Milano, two main industrial partners, ENEL and CISE, and occasionally a few other industries. Our approach aims at augmenting an existing and fairly deeply rooted informal industrial methodology with our original formalism, the logic specification language TRIO. On the basis of the experiences we gained we argue that our incremental attitude towards the introduction of formal methods within the industry could be effective largely independently from the chosen formalism.

The increasing diffusion of services enabled by Internet of Things (IoT) technologies raises several risks associated to security and data quality. Together with the high number of heterogeneous interconnected devices, this creates scalability issues, thereby calling for a flexible middleware platform able to deal with both security threats and data quality issues in a dynamic IoT environment. In this paper a lightweight and cross-domain prototype of a distributed architecture for IoT is presented, providing minimum data caching functionality and in-memory data processing. A number of supporting algorithms for the assessment of data quality and security are presented and discussed. In the presented system, users can request services on the basis of a publish/subscribe mechanism, data from IoT devices being filtered according to users requirements in terms of security and quality. The prototype is validated in an experimental setting characterized by the usage of real-time open data feeds presenting different levels of reliability, quality and security

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Safety critical systems require to be highly reliable and thus special care is taken when verifying them in order to increase the confidence in their behavior. This paper addresses the problem of formal verification of safety critical systems by providing empirical evidence of the practical applicability of symbolic execution and of its usefulness for checking safety-related properties. In this paper, symbolic execution is used for building an operational model of the software on which safety properties, expressed by means of a Path Description Language (PDL), can be assessed.

Editors-in-Chief: R. Ramesh; H.R. Rao ▶ Examines new research and development at the interface of information systems and information technology ▶ Takes a multidisciplinary approach drawing from computer science, telecommunications, operations research, economics, and cognitive sciences ▶ Serves as a common forum for frontline industrial developments as well as pioneering academic researchInformation Systems Frontiers examines new research and development at the interface of information systems (IS) and information technology (IT) from analytical, behavioral, and technological perspectives. It provides a common forum for both frontline industrial developments as well as pioneering academic research.

End-to-end data aggregation, without degrading sensing accuracy, is a very relevant issue in Wireless Sensor Networks (WSN) that can prevent network congestion to occur. Moreover, privacy management requires that anonymity and data integrity are preserved in such networs. Unfortunately, no integrated solutions have been proposed so far, able to tackle both issues in a unified and general environment. To bridge this gap, in this paper we present an approach for dynamic secure end-to-end data aggregation with privacy function, named DyDAP. It has been designed starting from a UML model that encompasses the most important building blocks of a privacy-aware WSN, including aggregation policies. Furthermore, it introduces an original aggregation algorithm that, using a discrete-time control loop, is able to dynamically handle in-network data fusion to reduce the communication load. The performance of the proposed scheme has been verified using computer simulations, showing that DyDAP avoids network congestion and therefore improves WSN estimation accuracy while, at the same time, guaranteeing anonymity and data integrity.