Second International Workshop on Analytics and Mining of Model Repositories (AMMoRe) @ MODELS ’20
18-23 October 2020
Montreal, Canada
AMMoRe will be virtual and co-hosted with Models and Evolution Workshop!
AMMoRe will be held virtually, just as the main conference. All papers of the main tracks and satellite events will be published in the ACM proceedings as planned. See http://www.modelsconference.org/ for the announcement. Further details will be announced soon.
Model-based approaches promote the use of models and related artefacts (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) analyse; 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, 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.
Accepted Papers:
An Automatically Curated Dataset of Metamodels
Angela Barriga, Davide Di Ruscio, Ludovico Iovino, Phuong Nguyen and Alfonso Pierantonio
Metamodel Deprecation to Manage Technical Debt in Co-evolution
Ludovico Iovino, Davide Di Ruscio, Amleto Di Salle and Alfonso Pierantonio
Important Dates:
Paper Submission: July 26, 2020
Authors Notification: August 14, 2020
Camera Ready and Registration: August 21, 2020
AMMoRe date: October 18-23, 2020 (1-day, TBA)
Motivation
Big data approaches are causing large changes in the way we can perform science and business. Big Data is also entering the arena of software engineering and software modelling. Various datasets of models have now become available and now our community must learn methods, techniques and tools for analysing these large datasets.
Many such methods, techniques and tools are known from the Big Data/Machine Learning and Information Retrieval/Natural Language Processing communities. How they can be adapted and applied to models and model repositories is an open question. Conversely, the insights that come out of this may lead to insights for these communities that are usable beyond software modelling.
Topics of interest (non-exclusive)
– Industrial reports and empirical studies on model corpora
– Repository mining and management for modelling artefacts
– Clone-, pattern-, aspect-mining for modelling artefacts
– Applications of exploratory or descriptive data analytics
– Applications of predictive analytics, machine learning or deep-learning
– Large-scale model management and consistency checking
– Natural language processing for modelling
– Model searching, indexing, retrieval, storage
– Linking model repositories
– Visualization of (possibly heterogeneous) large sets of modelling artefacts
– Techniques to analyse and automate (co-)evolution in modelling
– Variability mining and management, model-driven software product lines
– Distributed computing for modelling, with an eye towards Big Data
– Intelligent techniques for automating modelling tasks
– Applications of model corpora
– Building and composing model-analytics workflows (based on online services/repositories)
– Enriching/labelling in model-repositories including classification and categorization of models in such repositories
We invite contributions from a wide range of technical spaces to promote cross-fertilization: Model-Driven Engineering, Systems Engineering, Business Process Modelling, Software Architecture, Data Mining, Machine Learning, Information Retrieval and so on.
Submission And Publication:
Prospective authors are invited to submit research/position/tool papers and experience reports in any of the topics listed in the scope. Short papers (5 pages) and full papers (5-10 pages) can be submitted. Submissions must be in English and must follow the same style and format of the main tracks of MODELS Conference. LaTeX users must use the provided acmart.cls and ACM-Reference-Format.bst without modification, enable the conference format in the preamble of the document (i.e., \documentclass[sigconf,review]{acmart}), and use the ACM reference format for the bibliography (i.e., \bibliographystyle{ACM-Reference-Format}).
Submission link: https://easychair.org/conferences/?conf=ammore2020
Proceedings: TBA
Program Chairs:
Önder Babur, Eindhoven University of Technology, NL
Michel Chaudron, Chalmers | Gothenburg University, SE
Loek Cleophas, Eindhoven University of Technology, NL; Stellenbosch University, ZA
Ludovico Iovino, Gran Sasso Science Institute L’Aquila, IT
Dimitris Kolovos, University of York, UK
Program Committee:
Mark van den Brand, Eindhoven University of Technology, NL
Davide Di Ruscio, University of L’Aquila, IT
Yannis Korkontzelos, Edge Hill University, UK
Henrik Leopold, Kuehne Logistics University, DE
Richard Paige, McMaster University, CA
Alfonso Pierantonio, University of L’Aquila, IT
Daniel Strüber, Radboud University Nijmegen, NL
Bedir Tekinerdogan, Wageningen University & Research, NL
Nicholas Matragkas, University of York, UK
Antonio Garcia-Dominguez, Aston University, UK
Andreas Wortmann, RWTH Aachen, DE
Manuel Wimmer, Johannes Kepler University Linz, AT
Alessandra Bagnato, Softeam, FR
Jan Mendling, Vienna University of Economics and Business, AT
Barbara Weber, University of St.Gallen, CH
Ivan Polášek, Slovak University of Technology, SK
Matthew Stephan, University of Miami, US
Juri Di Rocco, University of L’Aquila, IT
Carlos Cetina, Universidad San Jorge, ES
Benny Akesson, TNO and University of Amsterdam, NL
Model Management and Analytics 