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International audienceIn the last years, the growing complexity of the current applications has led to the design of self-adapting systems presenting self-* properties. These systems are composed of several autonomous interactive entities. They behave autonomously and present enhanced characteristics allowing them to handle dynamics coming from exogenous and endogenous changes. In this paper, we propose a set of criteria for the description and evaluation of the adaptive properties of such systems. They aim to provide a concrete mechanism to analyze the quality of the design of adaptive systems, to evaluate the effect of self-* properties on the performances and to compare the adaptive features of different systems. The criteria are grouped into different categories: methodological, architectural, intrinsic, and runtime evaluation. They have been identified and specified by analyzing several case studies, which address self-adaptivity issues through different approaches with different objectives in various application contexts

The paper proposes a characterization of risks and a service-oriented prototype to face risky situations in work environments, such as in industrial plants or building construction areas. A risk is the overture of emergencies that produce human and/or material damages. Therefore, it is particularly critical to identify and manage risks to avoid their evolution into emergencies. In this paper, we outline the technological features of a risk environment and propose a risk model and a service-based simulation prototype aimed to improve safety in work environments. We discuss engineering issues concerning risk modeling and management. Furthermore, we propose a risk management system solution and its related implemented prototype composed of services able to detect and also to prevent the occurrence of risk conditions

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* This research is partially supported by the MAIS project financed by MIUR -"Ministero dell'Istruzione, dell'Università e della Ricerca° in the context of the FIRB program "Fondo per gli Investimenti della Ricerca di Base". Abstract

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SUMMARY Design patterns play a significant role in reverse engineering by providing information not only on how but also on why a solution has been implemented in a specific way because of their semantics. The application of design patterns leads to their personalization to a specific context, hence to the generation of variants. This makes their recognition a challenging task, which may be addressed through the understanding and detection of the micro‐structures design patterns are made of. This is very useful for the detection as well as for the application of design patterns. The principal aim of this paper is to present a survey on these micro‐structures and a comparison among them in the perspective of reverse engineering. Because of their less complex structure and behavior, as well as closer link to the source code, the recognition of these micro‐structures may be automated, which can be considered a step towards the automatic recognition of the more complex design patterns. In this paper, we consider four of the most significant types of micro‐structures: elemental design patterns, clues, sub‐patterns, and micro patterns. To analyze the role of the micro‐structures in the design pattern detection process, we make a comparison among these four types of micro‐structures and among the micro‐structures of various types in order to identify the relations among them. Copyright © 2011 John Wiley & Sons, Ltd.

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