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Formal, mathematically rigorous programming language semantics are the essential prerequisite for the design of logics and calculi that permit automated reasoning about concurrent programs. We propose a novel modular semantics designed to align smoothly with program logics used in deductive verification and formal specification of concurrent programs. Our semantics separates local evaluation of expressions and statements performed in an abstract, symbolic environment from their composition into global computations, at which point they are concretised. This makes incremental addition of new language concepts possible, without the need to revise the framework. The basis is a generalisation of the notion of a program trace as a sequence of evolving states that we enrich with event descriptors and trailing continuation markers. This allows to postpone scheduling constraints from the level of local evaluation to the global composition stage, where well-formedness predicates over the event structure declaratively characterise a wide range of concurrency models. We also illustrate how a sound program logic and calculus can be defined for this semantics.

This volume contains the proceedings of ICE'19, the 12th Interaction and Concurrency Experience, which was held in Copenhagen, Denmark on the 20th and 21st of June 2019, as a satellite event of DisCoTec'19. The ICE workshop series features a distinguishing review and selection procedure, allowing PC members to interact anonymously with authors. As in the past 11 editions, this interaction considerably improved the accuracy of the feedback from the reviewers and the quality of accepted papers, and offered the basis for lively discussion during the workshop. The 2019 edition of ICE included double blind reviewing of original research papers, in order to increase fairness and avoid bias in reviewing. Each paper was reviewed by three PC members, and altogether 9 papers were accepted for publication - plus 2 oral presentations which are not part of this volume. We were proud to host 4 invited talks, by Dilian Gurov, Fritz Henglein, Sophia Knight, and Hern\'an Melgratti. The abstracts of these talks are included in this volume together with the regular papers. Final versions of the contributions, taking into account the discussion at the workshop, are included.

This volume contains the proceedings of ICE 2016, the 9th Interaction and Concurrency Experience, which was held in Heraklion, Greece on the 8th and 9th of June 2016 as a satellite event of DisCoTec 2016. The ICE procedure for paper selection allows PC members to interact, anonymously, with authors. During the review phase, each submitted paper is published on a discussion forum whose access is restricted to the authors and to all the PC members not declaring a conflict of interest. The PC members post comments and questions that the authors reply to. For the first time, the 2016 edition of ICE included a feature targeting review transparency: reviews of accepted papers were made public on the workshop website and workshop participants in particular were able to access them during the workshop. Each paper was reviewed by three PC members, and altogether nine papers were accepted for publication (the workshop also featured three brief announcements which are not part of this volume). We were proud to host two invited talks, by Alexandra Silva and Uwe Nestmann. The abstracts of these two talks are included in this volume together with the regular papers.

International audience; In this paper, we propose a component-oriented framework that can support autonomic computing and in particular bio-inspired approaches. Starting from the Grid Component Model, a component model targeting at Grid computing and already featuring some autonomicity, we show how such a model can be used in a general autonomic computing context. Indeed the model provides hierarchical structure and reconfiguration for both functional and non-functional levels. This should ease the development of \textit{self-*} and in particular, self-evolving applications. With our approach, even the autonomic strategies themselves can evolve. We consider this model and its implementation as powerful tools for easily experimenting autonomic behaviours.