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A seminar in advanced Software Engineering concerning using models to guide the development process, and QVT to transfer a model into another model automatically
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1. Representing UML models in Pharo using a metamodel generated from the UML specification.
2. Generating a UML class structure model from Pharo code to include classes, methods, and properties.
3. Using a TypesManager and multiple type inference techniques to determine types for variables, parameters, and return types.
4. Comparing available type inference tools to determine which provides the most accurate types.
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Lecture slides from the Model-Driven Engineering module of York's MSc in Software Engineering: http://www.cs.york.ac.uk/postgraduate/taught-courses/msc-swe/
The slides describe some of the aspects of developing a new Epsilon EMC driver. They cover the basics required to implement the IModel interface, follow with some additional details that can be added to the implementation and then provide a small introduction to providing optimized execution of first-order operations on collections.
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The document discusses a neural network architecture to infer heterogeneous model transformations. It proposes using an encoder-decoder architecture with LSTM networks and attention to transform models represented as trees. The approach is illustrated on two transformations: class to relational models and UML to Java code generation. Results show the neural networks can accurately learn the transformations from examples and generate outputs in reasonable time compared to traditional model transformation techniques.
A seminar in advanced Software Engineering concerning using models to guide the development process, and QVT to transfer a model into another model automatically
Generating UML Models with Inferred Types from Pharo CodeESUG
This document discusses generating UML models from Pharo code by inferring types. It covers:
1. Representing UML models in Pharo using a metamodel generated from the UML specification.
2. Generating a UML class structure model from Pharo code to include classes, methods, and properties.
3. Using a TypesManager and multiple type inference techniques to determine types for variables, parameters, and return types.
4. Comparing available type inference tools to determine which provides the most accurate types.
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This document discusses object-oriented programming concepts in Objective-C, including classes and objects, properties, methods, interfaces, implementations, memory management, and properties. It provides code examples for defining a Car class with properties like model and methods like drive(). It demonstrates creating instances of the Car class, setting properties, and calling methods.
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Lecture slides from the Model-Driven Engineering module of York's MSc in Software Engineering: http://www.cs.york.ac.uk/postgraduate/taught-courses/msc-swe/
This presentation describes Eclipse Modeling Framework – EMF. It has two basic purposes:
Introduce you to the EMF techniques needed in the rest of the course
Introduce you to the architecture and components of the EMF project
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Thesis Defense (Gwendal DANIEL) - Nov 2017Gwendal Daniel
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1. NeoEMF, a scalable model persistence framework that allows storing models across multiple databases for improved performance and memory usage.
2. PrefetchML, a model prefetching and caching component that uses declarative rules to efficiently load related model elements from the database.
3. Mogwaï, an approach to generate efficient graph database queries from OCL expressions to compute model queries without overhead from modeling frameworks.
4. Gremlin-ATL, an extension of Mogwaï to generate Gremlin traversals from ATL
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Accompanying paper:
http://www.ivanomalavolta.com/files/papers/SEAA_2015.pdf
Abstract:
In Model-Driven Engineering, UML profiles and MOF-based Domain Specific Modeling Languages (DSMLs) are the most used approaches for describing domain specific applications. The choice of the right approach depends on several aspects, such as tool support, expressivity, complexity of models, company policies. In general, profiled UML models are very much used since they are intuitive for designers and model editors already exist, however they are intrinsically complex for model manipulation (e.g., transformation, analysis); conversely, domain specific models are more concise and easy to be manipulated, but they require an initial effort in terms of designers training and model editors development.
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This presentation describes Eclipse Modeling Framework – EMF. It has two basic purposes:
Introduce you to the EMF techniques needed in the rest of the course
Introduce you to the architecture and components of the EMF project
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This document summarizes Gwendal Daniel's PhD thesis on efficient persistence, querying, and transformation of large models. It presents four main contributions:
1. NeoEMF, a scalable model persistence framework that allows storing models across multiple databases for improved performance and memory usage.
2. PrefetchML, a model prefetching and caching component that uses declarative rules to efficiently load related model elements from the database.
3. Mogwaï, an approach to generate efficient graph database queries from OCL expressions to compute model queries without overhead from modeling frameworks.
4. Gremlin-ATL, an extension of Mogwaï to generate Gremlin traversals from ATL
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OOP stands for Object-Oriented Programming. It involves creating objects that contain both data and methods. Classes act as templates for objects and define their attributes and behaviors. Some advantages of OOP include reusability, organization, and reduced repetition of code. Classes contain fields to store data and methods to perform actions on that data. Objects are instances of classes that inherit all fields and methods. Constructors initialize objects and can set initial field values. Arrays can store multiple objects. Dynamic arrays allow adding elements at runtime. Partial classes allow splitting a class definition across multiple files.
In this presentation, you learn how to use AToMPM in order to:
- Create a domain-specific language for modeling finite state automata (FSA)
- Synthesize a modeling environment for designing FSA models
- Design a simulator for FSA
This document provides an introduction to CoreML, Apple's framework for integrating machine learning models into iOS, macOS, tvOS, and watchOS apps. It discusses what CoreML is, how to convert existing models into the CoreML format using tools like CoreML Tools and TensorFlow converters, and how to use models with CoreML in apps. Examples are provided of using CoreML for tasks like image classification and text prediction.
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The document discusses metamodeling and the Model Driven Architecture (MDA). It provides an overview of model driven engineering and metamodeling. Specifically, it discusses how metamodels define the structure of models through concepts like classes and relationships. The Model Driven Architecture uses metamodels and modeling to develop software systems from models.
The document provides an overview of Microsoft Visual C# and C# basics. It covers topics like getting started with a first C# program, data types, operators, control statements, namespaces, objects and types, methods, classes, structs, inheritance, interfaces, polymorphism, arrays, generics, collections, memory management, attributes, exceptions and more. It also discusses C# compiler options, console I/O formatting, comments, and directives.
Java 102 intro to object-oriented programming in javaagorolabs
This document provides an overview of object-oriented programming concepts in Java including classes, objects, encapsulation, inheritance, polymorphism and libraries. Key points include:
- Classes act as a blueprint for objects with properties and behaviors defined through fields and methods.
- Objects are instantiated from classes using the new keyword and represent unique instances of the class.
- Encapsulation protects data by restricting access to fields and providing public getters/setters.
- Inheritance allows new classes to extend existing classes, inheriting properties and behaviors while also allowing customization.
- Libraries provide reusable code through APIs while hiding implementation details from clients.
This document discusses templates in C++ and provides examples of template functions, classes, parameters, members, and specializations. It covers how templates allow code to be written generically for unspecified types and instantiated for specific types. It also discusses container classes, iterators, reference vs. value semantics, and how templates are used extensively in the Standard Template Library.
Wodel: A Domain-Specific Language for Model MutationPablo Gómez Abajo
Model-Driven Engineering (MDE) is a software engineering paradigm that uses models as main assets in all development phases. While many languages for model manipulation exist (e.g., for model transformation or code generation), there is a lack of frameworks to dene and apply model mutations.
A model mutant is a variation of an original model, created by specific model mutation operations. Model mutation has many applications, for instance, in the areas of model transformation testing, model-based testing or education.In this paper, we present a domain-specic language, called
Wodel, for the specication and generation of model mutants. Wodel is domain-independent, as it can be used to generate mutants of models conforming to arbitrary metamodels. Its development environment is extensible, permitting the incorporation of post-processors for dierent applications. As an example, we show an application consisting on the automated generation of exercises for particular domains (automata, class diagrams, electronic circuits, etc.).
Automatically bridging UML profiles into MOF metamodelsIvano Malavolta
27th August 2015. My presentation at SEAA 2015 (http://paginas.fe.up.pt/~dsd-seaa-2015/) about our approach for autmatically bridging UML profiles into MOF metamodels. SEAA 2015 is the 41st Euromicro Conference on Software Engineering and Advanced Applications, and it has been held in 26 - 28 August 2015, Funchal, Madeira, Portugal.
Accompanying paper:
http://www.ivanomalavolta.com/files/papers/SEAA_2015.pdf
Abstract:
In Model-Driven Engineering, UML profiles and MOF-based Domain Specific Modeling Languages (DSMLs) are the most used approaches for describing domain specific applications. The choice of the right approach depends on several aspects, such as tool support, expressivity, complexity of models, company policies. In general, profiled UML models are very much used since they are intuitive for designers and model editors already exist, however they are intrinsically complex for model manipulation (e.g., transformation, analysis); conversely, domain specific models are more concise and easy to be manipulated, but they require an initial effort in terms of designers training and model editors development.
In this paper we propose an approach that allows getting the best of the two worlds: on one side designers can use UML profiles familiar to them, on the other side DSML models (automatically generated from profiled UML models) enable a better model manipulation. Our approach is based on an automatic bridge between UML profiles and MOF metamodels (which are the main artifacts of MOF-based DSMLs). The bridge is transparent to the user since it autonomously operates both on UML profiles and all the involved models. The bridge is realized through model transformation techniques in the Eclipse platform. In this paper we show its application on a case study based on SysML.
EclipseCon 2005: Everything You Always Wanted to do with EMF (But were Afraid...Dave Steinberg
EMF allows modeling for Java applications by generating code from models like XML schemas. It provides a uniform EObject API for model objects while customizing generated interfaces. Adapters can extend model behavior and validation tests against constraints. Extended metadata customizes XML persistence.
The document discusses various design principles and patterns in Java including the Singleton, Factory Method, Prototype, and Abstract Factory patterns. It provides examples of when and how to apply each pattern, describing their structures, participants, collaborations and consequences. It also covers design principles such as the open-closed principle, dependency inversion, and interface segregation.
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3. EMC Drivers
• the Epsilon Model Connectivity (EMC) layer provides abstraction facilities
over concrete modelling technologies (EMF, XML, Simulink)
• enables Epsilon programs to interact with models conforming to these
technologies in a uniform manner
• EMC makes minimal assumptions about the structure and the organization
of the underlying modelling technologies
• it intentionally refrains from defining classes for concepts such as model
element, type and metamodel
• more resistant to future changes in the implementations of the current
technologies and can also embrace new technologies without changes
3
4. Implementation of EMC drivers
Two Eclipse plugins:
➢Implementation of the driver’s Eclipse-based development tools
org.eclipse.epsilon.emc.XX.dt
➢Implementation of the EMC driver
org.eclipse.epsilon.emc.XX
where XX stands for the metamodeling technology used (e.g., EMF, XML, CSV)
4
16. Implementation of EMC drivers
Two Eclipse plugins:
➢Implementation of the driver’s Eclipse-based development tools
org.eclipse.epsilon.emc.XX.dt
➢Implementation of the EMC driver
org.eclipse.epsilon.emc.XX
where XX stands for the metamodeling technology used (e.g., EMF, XML, CSV)
16
17. Implementation of the EMC driver
Three classes are required:
• a class for defining the model
❑ implements IModel
• a Property Getter class for the model
❑ implements IPropertyGetter
• a Property Setter class for the model
❑ implements IPropertySetter
17
19. Class for defining the model
Extend/implement one of the following:
• IModel
• Model
• CachedModel<ModelElementType> (recommended)
…
19
20. Class for defining the model (CachedModel)
• identify what is a model element in your modelling language:
❑ XML : Element ⟶ CachedModel<Element>
❑ CSV : Map ⟶ CachedModel<Map<String, Object>>
❑ YAML : Entry ⟶ CachedModel<Entry>
• the methods from IModel must be parameterised using the identified
model element type
20
21. Class for defining the model
Examples:
• CSV driver
• Plain XML driver
• YAML driver
• Simulink driver
21
22. Hook Model to Epsilon
• we need to inform Epsilon that there is a new model type available:
❑ the name of the model type
❑ the class of the new model
❑ the configuration dialog of the new model
❑ an icon for the launch dialog
• use the Extension Point: org.eclipse.epsilon.common.dt.modelType
• added using MANIFEST.MF (Extension tab)
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24. Implementing IModel : load()
• loads the model in memory from storage
• the properties from the Configuration Dialog are
passed in the properties parameter of the load
method
• initializes the required data and parameters
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25. Implementing IModel : loadModel()
• loads in memory the selected model in the Configuration Dialog
• ideally, it should set up a data structure that keeps track of
instantiated model elements
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26. Implementing IModel : disposeModel()
• executes clean-up code for releasing model resources
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27. Implementing IModel : store()
• persists the in-memory representation of the model to a storage location
• the method is executed only when the value of the property Store on disposal is true
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29. Implementing IModel : isModelElement()
• returns true if an instance is a model element
• this is usually done by comparing the type of the instance with the
type of the model element
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30. Types and Kinds
• the type-of relationship appears when a model element is an instance
of a type
• the kind-of relationship appears when the model element is an
instance of a type or any of its sub-types
Examples:
➢ s_{nodeName} for scalar nodes
➢ m_{nodeName} for mapping nodes
➢ l_{nodeName} for list nodes
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31. Implementing IModel : getTypeOf()
• returns the fully-qualified name of the type of a model element
(instance)
• the type represents the class of the model element
• CachedModel<ModelElementType>
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32. Implementing IModel : getTypeNameOf()
• returns the type name of a model element (instance)
• the type name is used for caching purposes
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33. Implementing IModel : getAllTypeNamesOf()
• returns an immutable set over the type name of a single model
element instance
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34. Implementing IModel : getCacheKeyForType()
• the returned string is the type
• used as a key for caching model elements by type
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35. Implementing IModel : hasType()
• returns true if the model supports a type with the specified name
(e.g., s_role, m_city, t_book)
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36. Implementing IModel : isInstantiable()
• returns true if instances of the type can be created
• it is usually based on the method hasType()
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37. Implementing IModel : creating instances
• create a new model element instance of a specific type and return it
• add the created instance to the list of created instances
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38. Implementing IModel : deleting instances
• delete the model element instance from the in-memory
representation of the model
• delete the model element instance from the list of created instances
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39. Implementing IModel : owns()
• returns true if the model element instance is contained within the in-
memory representation of the model or in the list of created instances
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40. Implementing IModel : allContentsFromModel()
• returns the entire content of the model, i.e., all model elements
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41. Implementing IModel : getAllOfTypeFromModel()
• returns all model elements with the specified type
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42. Implementing IModel : getAllOfKindFromModel()
• returns all model elements with the specified kind
• in many cases the kind may be similar to the type, therefore the
method can just call getAllOfTypeFromModel(kind)
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43. Implementing IModel: Exercises
1. Modify the method getAllOfTypeFromModel()
2. Modify the method createInstance()
3. Modify the method deleteElementInModel()
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44. Implementing IModel : getElementById()
• returns a model element by its id
Examples:
➢ CSV – the IDs can be represented with a specific column
➢ XML – the IDs can be represented as an attribute
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45. Implementing IModel : getElementId(), setElementId()
• gets/sets the id of a model element
45
46. Implementing IModel : getEnumerationValue()
• used to retrieve an enumeration literal from a specific enumeration
46
47. Implementation of the EMC driver
Three classes are required:
• a class for defining the model
❑ implements IModel
• a Property Getter class for the model
❑ implements IPropertyGetter
• a Property Setter class for the model
❑ implements IPropertySetter
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48. Property Getter class
➢ retrieve the value of a property
➢ extend/implement one of the following:
• IPropertyGetter
• AbstractPropertyGetter
• JavaPropertyGetter
…
48
51. Property Setter class
➢ set the value of a property
➢ extend/implement one of the following:
• IPropertySetter
• AbstractPropertySetter
• JavaPropertySetter
…
51
54. Property Getter/Setter class: Exercises
1. Add a new property in the Property Getter class
2. Add a new property in the Property Setter class
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55. Summary
➢implementation of the driver’s Eclipse-based development tools
➢implementation of the EMC driver
• a class for defining the model
• a Property Getter class for the model
• a Property Setter class for the model
55