The AADL Constraint Annex

The SAE Architecture Analysis and Design Language -- AADL has been defined with a strong focus on the careful modeling of critical real-time embedded systems. Around this formalism, several analysis tools have been defined, e.g. scheduling, safety, security or performance. The SAE AS2-C wishes to complement the AADL with a versatile language to support project-specific analysis. The Model Constraints Sublanguage Annex (or in short the Constraints Annex) provides a standard AADL sublanguage extension with three major objectives: •to allow specification of project specific AADL language subsets and enforce consistent use of the language subset over all classifiers in a package and all packages in a project •to allow specification of project specific Structural Assertions on AADL instance models of component implementations and specification of Structural Assertions on classifier types (component types, feature group types and their extensions) •to allow the specification of Behavior Assertions for feature groups, component types and component implementations, grouped as Assumptions and Guarantees. Assumptions group together Behavior Assertions describing expected behavior of the environment in which a component will operate. Guarantees group together Behavior Assertions which must be honored by all instances of the component, assuming that it is deployed into an environment that honors the Assumptions Behavior Assertions. In this presentation, we will provide an overview of this language, and report on ongoing implementation efforts to date for this language

A monitoring approach for runtime service discovery

Effective runtime service discovery requires identification of services based on different service characteristics such as structural, behavioural, quality, and contextual characteristics. However, current service registries guarantee services described in terms of structural and sometimes quality characteristics and, therefore, it is not always possible to assume that services in them will have all the characteristics required for effective service discovery. In this paper, we describe a monitor-based runtime service discovery framework called MoRSeD. The framework supports service discovery in both push and pull modes of query execution. The push mode of query execution is performed in parallel to the execution of a service-based system, in a proactive way. Both types of queries are specified in a query language called SerDiQueL that allows the representation of structural, behavioral, quality, and contextual conditions of services to be identified. The framework uses a monitor component to verify if behavioral and contextual conditions in the queries can be satisfied by services, based on translations of these conditions into properties represented in event calculus, and verification of the satisfiability of these properties against services. The monitor is also used to support identification that services participating in a service-based system are unavailable, and identification of changes in the behavioral and contextual characteristics of the services. A prototype implementation of the framework has been developed. The framework has been evaluated in terms of comparison of its performance when using and when not using the monitor component

Advancements and Challenges in Object-Centric Process Mining: A Systematic Literature Review

Recent years have seen the emergence of object-centric process mining techniques. Born as a response to the limitations of traditional process mining in analyzing event data from prevalent information systems like CRM and ERP, these techniques aim to tackle the deficiency, convergence, and divergence issues seen in traditional event logs. Despite the promise, the adoption in real-world process mining analyses remains limited. This paper embarks on a comprehensive literature review of object-centric process mining, providing insights into the current status of the discipline and its historical trajectory