Rezultaty
This deliverable will include three integrated languages for Lowcomotive 1 the previous prototype for Active DSLs will be extended by supporting contextual rules and collaboration 2 the deliverable will allow data science developers to deliver knowledge models that can be augmented and deployed during downstreaming activities 3 the deliverable will propose a domainspecific language for the design of large and complex IoT systems like Smart Cities
Testing Framework and Process for Low-Code EngineeringThis deliverable will present the final version of the testing framework for LowCode Engineering and its use within a DevOps process
Concepts for Mining Low-Code Engineering RepositoriesThis deliverable will present a collection of concepts for mapping operational data back to design models The report will cover the requirements to abstract several executions of a system in probabilistic runtime models a collection of probabilistic models usable to describe systems executions as well as automation possibilities for generating propabilitistic models and aligning them to design models This deliverable will also present a systematic literature survey on different mining algorithms for processrelated entities such as interaction histories Based on the found algorithms a classification as well as application recommendations for interaction mining in lowcode development platforms should be derived Furthermore a first collection of mining algorithms should be implemented in tested on interaction histories Finally the deliverable will include a literature review forautomated identification and probabilistic linking of lowcode system components from different system models
Cloud-Based Low-Code Engineering Editor - Final VersionThis deliverable will increase the Cloudbased editor with multiple views abstractions and navigation strategies needed to handle models with millions of elements This deliverable will also provide a frontend based on natural language for the recommendation system
Components for Mining Low-Code Engineering RepositoriesThis deliverable will report on a reinforcement learning component that will be used to improve the accuracy of automated probabilistic link creation between lowcode system components in the graphbased repository The deliverable will also present a component which can be connected to different LCDPs for providing a generic data model for representing possibly probabilistic runtime models This component will be evaluated for the mining of interaction models in LCDPs as well as representing runtime models for aligning and improving design models based on operational data
Lowcomotive Integrations - Interim VersionThis deliverable will produce a prototype supporting the creation of apps based on DSLs with geo-information (i.e., to locate model elements on a map), and gathering information from Open APIs. The deliverable will also introduce the first results of the integrations for IoT for Smart Cities and Knowledge models.
Concepts for Multi-Paradigm Distributed TransformationThis deliverable will present the main concepts for scalable model transformations executed over a Cloud-based infrastructure. It will cover a metamodelisation of the space of programming models for distributed data processing. A particular attention will be given to live transformations which are executed in reaction to changes in the environment. Moreover, the underpinning for the composition of transformations like goal, composition operators, and the properties to be maintained during and after the execution of model transformations will be defined and reported
Low-Code Engineering Repository Architecture SpecificationThis deliverable will report on the architecture specification and evaluation of the Lowcomotive repository. The repository will be developed as software-as-a-service in order to enable its remote adoption and integration with existing systems. To this end appropriate APIs will be designed and developed.
Scalable Low-Code Artefact Persistence and Query - Interim VersionThis deliverable will report on a classification of common computationally-expensive model queries (e.g. filter all elements of a particular type by certain features), and on capabilities that can be leveraged to optimise them (e.g. indexes). The deliverable will report on novel static analysis techniques for low-code model management programs that will enable intelligent model partitioning.
Cloud-Based Low-Code Engineering Editor - Interim VersionThis deliverable will provide a prototype of the Cloud-based low-code engineering editor, with unified support of heterogeneus technologies. The deliverable will also include a prototype of the recommender backend.
Second Training Progress ReportReport on training activities during the second year of ESRs
First Training Progress ReportReport on training activities during the first year of ESRs
Concepts for Testing in Low-Code Engineering RepositoriesThe report will cover the requirements to write and configure low-code tests, the specification of the model transformations generating executable test, the consideration of the distribution of low-code artefacts (in particular software and data) on the Cloud. The deliverable will also define how low-code testing integrates in a process for DevOps in low-code engineering.
Multi-Paradigm Distributed Transformation EngineThis deliverable will present the algorithms and the tools supporting scalable model transformation over the Cloud It will include 1 a multiparadigm translator for a model transformation language to different distributed programming models 2 a native live transformation engine based upon distributed incremental model queries and 3 a transformation composition engine that automatic selects from the repository the model transformations to compose for achieving the needed manipulation and orchestrates the transformation chain
Low-Code Engineering RepositoryThe deliverable will provide the final version of the lowcode engineering repository This will include federation mechanisms that will enable seamlessly aggregation of modelling artefacts with respect to specific access and licensing policies
Scalable Low-Code Artefact Persistence and Query - Final VersionThis deliverable will report on the design implementation and performance evaluation of an opensource prototype lowcode model query optimiser and on the design and performance evaluation of a prototype that can perform runtime partitioning of large lowcode models based on information collected through static analysis
A public website describing the network objectives, approach, participants involved and expected results. Later updates will include announcements of workshops and conferences, downloadable papers and articles and the public deliverables from the project. The website will be updated by all members of the network (particularly ESRs). Accounts on social media such as YouTube, Facebook and Twitter
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