Efficient Generation of Graphical Model Views Via Lazy Model-To-Text Transformation
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Networkx Tutorial
5.03.2020 tutorial NetworkX tutorial Source: https://github.com/networkx/notebooks (https://github.com/networkx/notebooks) Minor corrections: JS, 27.02.2019 Creating a graph Create an empty graph with no nodes and no edges. In [1]: import networkx as nx In [2]: G = nx.Graph() By definition, a Graph is a collection of nodes (vertices) along with identified pairs of nodes (called edges, links, etc). In NetworkX, nodes can be any hashable object e.g. a text string, an image, an XML object, another Graph, a customized node object, etc. (Note: Python's None object should not be used as a node as it determines whether optional function arguments have been assigned in many functions.) Nodes The graph G can be grown in several ways. NetworkX includes many graph generator functions and facilities to read and write graphs in many formats. To get started though we'll look at simple manipulations. You can add one node at a time, In [3]: G.add_node(1) add a list of nodes, In [4]: G.add_nodes_from([2, 3]) or add any nbunch of nodes. An nbunch is any iterable container of nodes that is not itself a node in the graph. (e.g. a list, set, graph, file, etc..) In [5]: H = nx.path_graph(10) file:///home/szwabin/Dropbox/Praca/Zajecia/Diffusion/Lectures/1_intro/networkx_tutorial/tutorial.html 1/18 5.03.2020 tutorial In [6]: G.add_nodes_from(H) Note that G now contains the nodes of H as nodes of G. In contrast, you could use the graph H as a node in G. -
Networkx: Network Analysis with Python
NetworkX: Network Analysis with Python Salvatore Scellato Full tutorial presented at the XXX SunBelt Conference “NetworkX introduction: Hacking social networks using the Python programming language” by Aric Hagberg & Drew Conway Outline 1. Introduction to NetworkX 2. Getting started with Python and NetworkX 3. Basic network analysis 4. Writing your own code 5. You are ready for your project! 1. Introduction to NetworkX. Introduction to NetworkX - network analysis Vast amounts of network data are being generated and collected • Sociology: web pages, mobile phones, social networks • Technology: Internet routers, vehicular flows, power grids How can we analyze this networks? Introduction to NetworkX - Python awesomeness Introduction to NetworkX “Python package for the creation, manipulation and study of the structure, dynamics and functions of complex networks.” • Data structures for representing many types of networks, or graphs • Nodes can be any (hashable) Python object, edges can contain arbitrary data • Flexibility ideal for representing networks found in many different fields • Easy to install on multiple platforms • Online up-to-date documentation • First public release in April 2005 Introduction to NetworkX - design requirements • Tool to study the structure and dynamics of social, biological, and infrastructure networks • Ease-of-use and rapid development in a collaborative, multidisciplinary environment • Easy to learn, easy to teach • Open-source tool base that can easily grow in a multidisciplinary environment with non-expert users -
Graph Database Fundamental Services
Bachelor Project Czech Technical University in Prague Faculty of Electrical Engineering F3 Department of Cybernetics Graph Database Fundamental Services Tomáš Roun Supervisor: RNDr. Marko Genyk-Berezovskyj Field of study: Open Informatics Subfield: Computer and Informatic Science May 2018 ii Acknowledgements Declaration I would like to thank my advisor RNDr. I declare that the presented work was de- Marko Genyk-Berezovskyj for his guid- veloped independently and that I have ance and advice. I would also like to thank listed all sources of information used Sergej Kurbanov and Herbert Ullrich for within it in accordance with the methodi- their help and contributions to the project. cal instructions for observing the ethical Special thanks go to my family for their principles in the preparation of university never-ending support. theses. Prague, date ............................ ........................................... signature iii Abstract Abstrakt The goal of this thesis is to provide an Cílem této práce je vyvinout webovou easy-to-use web service offering a database službu nabízející databázi neorientova- of undirected graphs that can be searched ných grafů, kterou bude možno efektivně based on the graph properties. In addi- prohledávat na základě vlastností grafů. tion, it should also allow to compute prop- Tato služba zároveň umožní vypočítávat erties of user-supplied graphs with the grafové vlastnosti pro grafy zadané uži- help graph libraries and generate graph vatelem s pomocí grafových knihoven a images. Last but not least, we implement zobrazovat obrázky grafů. V neposlední a system that allows bulk adding of new řadě je také cílem navrhnout systém na graphs to the database and computing hromadné přidávání grafů do databáze a their properties. -
Gephi Tools for Network Analysis and Visualization
Frontiers of Network Science Fall 2018 Class 8: Introduction to Gephi Tools for network analysis and visualization Boleslaw Szymanski CLASS PLAN Main Topics • Overview of tools for network analysis and visualization • Installing and using Gephi • Gephi hands-on labs Frontiers of Network Science: Introduction to Gephi 2018 2 TOOLS OVERVIEW (LISTED ALPHABETICALLY) Tools for network analysis and visualization • Computing model and interface – Desktop GUI applications – API/code libraries, Web services – Web GUI front-ends (cloud, distributed, HPC) • Extensibility model – Only by the original developers – By other users/developers (add-ins, modules, additional packages, etc.) • Source availability model – Open-source – Closed-source • Business model – Free of charge – Commercial Frontiers of Network Science: Introduction to Gephi 2018 3 TOOLS CINET CyberInfrastructure for NETwork science • Accessed via a Web-based portal (http://cinet.vbi.vt.edu/granite/granite.html) • Supported by grants, no charge for end users • Aims to provide researchers, analysts, and educators interested in Network Science with an easy-to-use cyber-environment that is accessible from their desktop and integrates into their daily work • Users can contribute new networks, data, algorithms, hardware, and research results • Primarily for research, teaching, and collaboration • No programming experience is required Frontiers of Network Science: Introduction to Gephi 2018 4 TOOLS Cytoscape Network Data Integration, Analysis, and Visualization • A standalone GUI application -
Unifying Modeling and Programming with ALF
SOFTENG 2016 : The Second International Conference on Advances and Trends in Software Engineering Unifying Modeling and Programming with ALF Thomas Buchmann and Alexander Rimer University of Bayreuth Chair of Applied Computer Science I Bayreuth, Germany email: fthomas.buchmann, [email protected] Abstract—Model-driven software engineering has become more The Eclipse Modeling Framework (EMF) [5] has been and more popular during the last decade. While modeling the established as an extensible platform for the development of static structure of a software system is almost state-of-the art MDSE applications. It is based on the Ecore meta-model, nowadays, programming is still required to supply behavior, i.e., which is compatible with the Object Management Group method bodies. Unified Modeling Language (UML) class dia- (OMG) Meta Object Facility (MOF) specification [6]. Ideally, grams constitute the standard in structural modeling. Behavioral software engineers operate only on the level of models such modeling, on the other hand, may be achieved graphically with a set of UML diagrams or with textual languages. Unfortunately, that there is no need to inspect or edit the actual source code, not all UML diagrams come with a precisely defined execution which is generated from the models automatically. However, semantics and thus, code generation is hindered. In this paper, an practical experiences have shown that language-specific adap- implementation of the Action Language for Foundational UML tations to the generated source code are frequently necessary. (Alf) standard is presented, which allows for textual modeling In EMF, for instance, only structure is modeled by means of of software systems. -
Gephi-Poster-Sunbelt-July10.Pdf
The Open Graph Viz Platform Gephi is a new open-source network visualization platform. It aims to create a sustainable software and technical Download Gephi at ecosystem, driven by a large international open-source community, who shares common interests in networks and http://gephi.org complex systems. The rendering engine can handle networks larger than 100K elements and guarantees responsiveness. Designed to make data navigation and manipulation easy, it aims to fulll the complete chain from data importing to aesthetics renements and interaction. Particular focus is made on the software usability and interoperability with other tools. A lot of eorts are made to facilitate the community growth, by providing tutorials, plug-ins development documentation, support and student projects. Current developments include Dynamic Network Analysis (DNA) and Goals spigots (Emails, Twitter, Facebook …) import. Create the Photoshop of network visualization, by combining a rich set of Gephi aims at being built-in features and a sustainable, open to friendly user interface. many kind of users, and creating a large, Design a modular and international and extensible software diverse open-source architecture, facilitate plug-ins development, community reuse and mashup. Build a large, international Features Highlight and diverse open-source community. Community Join the network, participate designing the roadmap, get help to quickly code plug-ins or simply share your ideas. Select, move, paint, resize, connect, group Just with the mouse Export in SVG/PDF to include your infographics Metrics Architecture * Betweenness, Eigenvector, Closeness The modular architecture allows developers adding and extending features * Eccentricity with ease by developing plug-ins. Gephi can also be used as Java library in * Diameter, Average Shortest Path other applications and build for instance, a layout server. -
Plantuml Language Reference Guide (Version 1.2021.2)
Drawing UML with PlantUML PlantUML Language Reference Guide (Version 1.2021.2) PlantUML is a component that allows to quickly write : • Sequence diagram • Usecase diagram • Class diagram • Object diagram • Activity diagram • Component diagram • Deployment diagram • State diagram • Timing diagram The following non-UML diagrams are also supported: • JSON Data • YAML Data • Network diagram (nwdiag) • Wireframe graphical interface • Archimate diagram • Specification and Description Language (SDL) • Ditaa diagram • Gantt diagram • MindMap diagram • Work Breakdown Structure diagram • Mathematic with AsciiMath or JLaTeXMath notation • Entity Relationship diagram Diagrams are defined using a simple and intuitive language. 1 SEQUENCE DIAGRAM 1 Sequence Diagram 1.1 Basic examples The sequence -> is used to draw a message between two participants. Participants do not have to be explicitly declared. To have a dotted arrow, you use --> It is also possible to use <- and <--. That does not change the drawing, but may improve readability. Note that this is only true for sequence diagrams, rules are different for the other diagrams. @startuml Alice -> Bob: Authentication Request Bob --> Alice: Authentication Response Alice -> Bob: Another authentication Request Alice <-- Bob: Another authentication Response @enduml 1.2 Declaring participant If the keyword participant is used to declare a participant, more control on that participant is possible. The order of declaration will be the (default) order of display. Using these other keywords to declare participants -
Sysml Distilled: a Brief Guide to the Systems Modeling Language
ptg11539604 Praise for SysML Distilled “In keeping with the outstanding tradition of Addison-Wesley’s techni- cal publications, Lenny Delligatti’s SysML Distilled does not disappoint. Lenny has done a masterful job of capturing the spirit of OMG SysML as a practical, standards-based modeling language to help systems engi- neers address growing system complexity. This book is loaded with matter-of-fact insights, starting with basic MBSE concepts to distin- guishing the subtle differences between use cases and scenarios to illu- mination on namespaces and SysML packages, and even speaks to some of the more esoteric SysML semantics such as token flows.” — Jeff Estefan, Principal Engineer, NASA’s Jet Propulsion Laboratory “The power of a modeling language, such as SysML, is that it facilitates communication not only within systems engineering but across disci- plines and across the development life cycle. Many languages have the ptg11539604 potential to increase communication, but without an effective guide, they can fall short of that objective. In SysML Distilled, Lenny Delligatti combines just the right amount of technology with a common-sense approach to utilizing SysML toward achieving that communication. Having worked in systems and software engineering across many do- mains for the last 30 years, and having taught computer languages, UML, and SysML to many organizations and within the college setting, I find Lenny’s book an invaluable resource. He presents the concepts clearly and provides useful and pragmatic examples to get you off the ground quickly and enables you to be an effective modeler.” — Thomas W. Fargnoli, Lead Member of the Engineering Staff, Lockheed Martin “This book provides an excellent introduction to SysML. -
7 Best Free Flowchart Tools for Windows
2018. 6. 1. Pocket: 7 Best Free Flowchart Tools for Windows 7 Best Free Flowchart Tools for Windows By Joel Lee, www.makeuseof.com 6월 20일, 2017 Flowcharts aren’t just for engineers, programmers, and managers. Everyone can benet from learning how to make owcharts, most notably as a way to streamline your work and life, but even to break free from bad habits. The only problem is, what’s the best way to make a owchart? Plenty of top-notch owcharting apps exist, but they can get pricey. Microsoft Visio, the most popular option, is $300 (standalone) or $13 per month (on top of Oce 365). ConceptDraw Pro is $200. Edraw Max is $180. MyDraw is $70. Is it really necessary to spend so much on a owcharting tool? No! There are plenty of free options that are more than good enough, especially for non-business uses. You can either learn to create stunning owcharts in Microsoft Word How to Create Stunning Flowcharts With Microsoft Word How to Create Stunning Flowcharts With Microsoft Word Used with imagination, owcharts can simplify both your work or life. Why not try out a few owcharts with one of the easiest tools on hand – Microsoft Word. Read More if you already have it or use one of the following free Windows apps. Web-based apps have been intentionally excluded. 1. Dia Dia is a free and full-featured owchart app. It’s also entirely open source under the GPLv2 license, which is great if you adhere to open source philosophy. It’s powerful, extensible, and easy to use. -
Thesis Artificial Intelligence Method Call Argument Completion Using
Method Call Argument Completion using Deep Neural Regression Terry van Walen [email protected] August 24, 2018, 40 pages Academic supervisors: dr. C.U. Grelck & dr. M.W. van Someren Host organisation: Info Support B.V., http://infosupport.com Host supervisor: W. Meints Universiteit van Amsterdam Faculteit der Natuurwetenschappen, Wiskunde en Informatica Master Software Engineering http://www.software-engineering-amsterdam.nl Abstract Code completion is extensively used in IDE's. While there has been extensive research into the field of code completion, we identify an unexplored gap. In this thesis we investigate the automatic rec- ommendation of a basic variable to an argument of a method call. We define the set of candidates to recommend as all visible type-compatible variables. To determine which candidate should be recom- mended, we first investigate how code prior to a method call argument can influence a completion. We then identify 45 code features and train a deep neural network to determine how these code features influence the candidate`s likelihood of being the correct argument. After sorting the candidates based on this likelihood value, we recommend the most likely candidate. We compare our approach to the state-of-the-art, a rule-based algorithm implemented in the Parc tool created by Asaduzzaman et al. [ARMS15]. The comparison shows that we outperform Parc, in the percentage of correct recommendations, in 88.7% of tested open source projects. On average our approach recommends 84.9% of arguments correctly while Parc recommends 81.3% correctly. i ii Contents Abstract i 1 Introduction 1 1.1 Previous work........................................ -
Introduction to Systems Modeling Languages
Fundamentals of Systems Engineering Prof. Olivier L. de Weck, Mark Chodas, Narek Shougarian Session 3 System Modeling Languages 1 Reminder: A1 is due today ! 2 3 Overview Why Systems Modeling Languages? Ontology, Semantics and Syntax OPM – Object Process Methodology SySML – Systems Modeling Language Modelica What does it mean for Systems Engineering of today and tomorrow (MBSE)? 4 Exercise: Describe the “Mr. Sticky” System Work with a partner (5 min) Use your webex notepad/white board I will call on you randomly We will compare across student teams © source unknown. All rights reserved. This content is excluded from our Creative Commons license. For more information, see http://ocw.mit.edu/help/faq-fair-use/. 5 Why Systems Modeling Languages? Means for describing artifacts are traditionally as follows: Natural Language (English, French etc….) Graphical (Sketches and Drawings) These then typically get aggregated in “documents” Examples: Requirements Document, Drawing Package Technical Data Package (TDP) should contain all info needed to build and operate system Advantages of allowing an arbitrary description: Familiarity to creator of description Not-confining, promotes creativity Disadvantages of allowing an arbitrary description: Room for ambiguous interpretations and errors Difficult to update if there are changes Handoffs between SE lifecycle phases are discontinuous Uneven level of abstraction Large volume of information that exceeds human cognitive bandwidth Etc…. 6 System Modeling Languages Past efforts -
UML Model to Fault Tree Model Transformation for Dependability
! ! UML Model to Fault Tree Model Transformation for Dependability Analysis ! ! ! ! ! by Zhao Zhao ! ! ! ! ! A thesis submitted to the Faculty of Graduate and Postdoctoral Affairs in partial fulfillment of the requirements for the degree of ! ! ! ! Master of Applied Science in Electrical and Computer Engineering ! ! ! ! ! Department of System and Computer Engineering Carleton University Ottawa, ON, Canada ! ! ! ! ! August 2014 ©Copyright2014, Zhao Zhao ! ! !I ACKNOWLEDGEMENT I would like to express my thank to all those who helped me during the writing of this thesis. My deepest gratitude goes first and foremost to my thesis supervisor, Prof. Dorina Petriu. It was only through her valuable supervision and patient guidance that I was able to complete all the work of this thesis. I would also like to thank my family, my father and my mother, and all my friends for their continuous support and encouragement. ! ! ! ! ! ! ! ! !II ABSTRACT Model-Driven Development (MDD) is a software development paradigm that has shifted the focus of software development from code to models. MDD’s emphasis on mod- els facilitates also the derivation of analysis models for different software non-functional properties (NFPs) from the software design models. Such analysis models are based on dif- ferent formalisms, and can be used to verify the NFPs of the software under development starting in the early lifecycle stages. This thesis proposes a model transformation to automatically generate Fault Tree models from UML models annotated with dependability annotations. Fault tree analysis is a top down deductive failure analysis model using both qualitative and quantitative analysis of undesired events of a system. It is used in safety and reliability engineering.