Transformations of CLP modules

We propose a transformation system for CLP programs and modules. The framework is inspired by the one of Tamaki and Sato for pure logic programs. However, the use of CLP allows us to introduce some new operations such as splitting and constraint replacement. We provide two sets of applicability conditions. The first one guarantees that the original and the transformed programs have the same computational behaviour, in terms of answer constraints. The second set contains more restrictive conditions that ensure compositionality: we prove that under these conditions the original and the transformed modules have the same answer constraints also when they are composed with other modules. This result is proved by first introducing a new formulation, in terms of trees, of a resultants semantics for CLP. As corollaries we obtain the correctness of both the modular and the non-modular system w.r.t. the least model semantics

The ss-semantics approach; theory and applications

AbstractThis paper is a general overview of an approach to the semantics of logic programs whose aim is to find notions of models which really capture the operational semantics, and are, therefore, useful for defining program equivalences and for semantics-based program analysis. The approach leads to the introduction of extended interpretations which are more expressive than Herbrand interpretations. The semantics in terms of extended interpretations can be obtained as a result of both an operational (top-down) and a fixpoint (bottom-up) construction. It can also be characterized from the model-theoretic viewpoint, by defining a set of extended models which contains standard Herbrand models. We discuss the original construction modeling computed answer substitutions, its compositional version, and various semantics modeling more concrete observables. We then show how the approach can be applied to several extensions of positive logic programs. We finally consider some applications, mainly in the area of semantics-based program transformation and analysis

Comparative analysis of the expressiveness of shared dataspace coordination

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Programming adaptive microservice applications: An AIOCJ tutorial

This tutorial describes AIOCJ, which stands for Adaptive Interaction Oriented Choreographies in Jolie, a choreographic language for programming microservice-based applications which can be updated at runtime. The compilation of a single AIOCJ program generates the whole set of distributed microservices that compose the application. Adaptation is performed using adaptation rules. Abstractly, each rule replaces a pre-delimited part of the program with the new code contained in the rule itself. Concretely, at runtime, the application of a rule updates part of the microservices that compose the application so to match the behavior specified by the updated program. Thanks to the properties of choreographies, the adaptive application is free from communication deadlocks and message races even after adaptation

Guess Who\u2019s Coming: Runtime Inclusion of Participants in Choreographies

In Choreographic Programming, a choreography specifies in a single artefact the expected behaviour of all the participants in a distributed system. The choreography is used to synthesise correct-by-construction programs for each participant. In previous work, we defined Dynamic Choreographies to support the update of distributed systems at runtime. In this work, we extend Dynamic Choreographies to include new participants at runtime, capturing those use cases where the system might be updated to interact with new, unforeseen stakeholders. We formalise our extension, prove its correctness, and present an implementation in the AIOCJ choreographic framework