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Low-Code Development Platforms (LCDPs) are software development platforms on the Cloud, provided through a Platform-as-a- Service model, which allow users to build completely operational applications by interacting through dynamic graphical user interfaces, visual diagrams and declarative languages. Lowcomote will train a generation of experts that will upgrade the current trend of LCDP to a new paradigm, Low-Code Engineering Platform. This will be achieved by injecting in LCDPs the theoretical and technical framework defined by recent research in Model Driven Engineering, augmented with Cloud Computing and Machine Learning techniques.

Model-based approaches promote the use of models and related artifacts (such as metamodels and model transformations) as central elements to tackle the complexity of building systems. Both in academia and in industry there is a growing need to efficiently i) store; ii) analyze; and ii) search & navigate, and iii) curate large collections of models. Such collections include for example large sets of software models such as the Lindholmen UML dataset [1], or of heterogeneous models in large MDE ecosystems and systems-of-systems, including e.g. software, hardware, and business models. The workshop Analytics and Mining of Model Repositories (AMMoRe) aims to gather modelling researchers and practitioners to discuss the emerging problems and propose solutions. The scope ranges from industrial reports and empirical analyses in the problem domain to novel cross-disciplinary approaches for large-scale analytics and management, e.g. exploiting techniques from data analytics, repository mining and machine learning.

We all use software modelling in some sense, often without using this term. We also tend to use increasingly sophisticated software languages to express our design and implementation intentions towards the machine and towards our peers. We also occasionally engage in metamodelling as a process of shaping the language of interest, and in megamodelling as an activity of positioning models of various kinds with respect to one another. This paper is an attempt to provide an gentle introduction to modeling the linguistic side of software evolution; some advanced users of modelware will find most of it rather pedestrian. Here we provide a summary of the interactive tutorial, explain the basic terminology and provide enough references to get one started as a software linguist and/or a megamodeller.

Code duplication in a program can make understanding and maintenance difficult. The problem can be reduced by detecting duplicated code, refactoring it into a separate procedure, and replacing all the clones by appropriate calls to the new procedure. In this paper, we report on a confirmatory replication of a tool that was used to detect such refactorable clones based on program dependence graphs and program slicing.

International audience; Deciding whether an open source software (OSS) meets the requiredstandards for adoption in terms of quality, maturity, activity of development anduser support is not a straightforward process. It involves analysing various sourcesof information, including the project’s source code repositories, communicationchannels, and bug tracking systems. OSSMETER extends state-of-the-art techniquesin the field of automated analysis and measurement of open-source software(OSS), and develops a platform that supports decision makers in the processof discovering, comparing, assessing and monitoring the health, quality, impactand activity of opensource software. To achieve this, OSSMETER computestrustworthy quality indicators by performing advanced analysis and integrationof information from diverse sources including the project metadata, source coderepositories, communication channels and bug tracking systems of OSS projects.

A transmission-line approach is presented for the analysis of planar structures including homogenized wiremedium slabs with vertically aligned wires. The network formalism allows for an effective determination of the modal dispersion equation via transverse resonance, as opposed to the more cumbersome field-matching approach. A parallel-plate waveguide loaded with wire medium to suppress TEM-mode propagation is considered as a case study. Numerical results, benchmarked also against state-of-the-art simulation software, confirm the accuracy and effectiveness of the proposed formulation.

Conference of 2017 MODELS Satellite Event: Workshops (ModComp, ME, EXE, COMMitMDE, MRT, MULTI, GEMOC, MoDeVVa, MDETools, FlexMDE, MDEbug), Posters, Doctoral Symposium, Educator Symposium, ACM Student Research Competition, and Tools and Demonstrations, MODEL-SSE 2017 ; Conference Date: 17 September 2017 Through 22 September 2017; Conference Code:133036; International audience; Collaborative modeling is gaining a growing interest in both academia and industry. However, several research challenges remain open, including scalability, support for multi-user modeling environments, model versioning, migration, comparison, merging and conflict management. Recently, scientific research contributions related to collaborative model-driven software engineering (MDSE) are emerging, each of them focusing on different and specific aspects of collaboration and modelling. Still, many of these studies are scattered across multiple research areas such as software engineering, model-driven engineering, model integrated computing, etc. COMMitMDE 2017 has brought together researchers and practitioners to explore (i) the impact of collaborative SE methods and principles on MDE practices and (ii) how MDE methods and techniques can support collaborative software engineering activities. Also, the workshop aimed at assessing the state of the research and practice on Collaborative MDE, creating new synergies between tool vendors, researchers, and practitioners, informing the community about the new means for collaborative MDE, and identifying needs and research gaps in the collaborative MDE area.