Current Concepts in Version Control Systems
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Glassfish™ Community Lighting Talks
GlassFish™ Community Lighting Talks GlassFish Community Speakers Moderator: Alexis Moussine-Pouchkine, Sun Microsystems Session ID: S297769 Agenda GreenFire SailFin Underworld RTL use-case IzPack Hudson Terracotta Embedded GlassFish 2008 CommunityOne Conference | developers.sun.com/events/communityone | 2 GreenFire Adam Bien Who am I? Adam Bien (blog.adam-bien.com) • Expert Group Member (jcp.org) of Java EE 6, EJB 3.1, Time and Date and JPA 2.0 • Java Champion, speaker, consultant and author: Enterprise Java Frameworks, J2EE Patterns, J2EE HotSpots, Struts, SOA Expertenwissen, Enterprise Architekturen, Java EE 5 Architekturen and about 50 published articles • Trainer (since JDK 1.0) • Project owner/committer: http://underworld.dev.java.net http://greenfire.dev.java.net, http://p4j5.dev.java.net, http://o24j.dev.java.net, http://fishfarm.dev.java.net/ 2008 CommunityOne Conference | developers.sun.com/events/communityone | 4 GreenFire.dev.java.net Situation/context dependent prioritization of „bio“ resources (solar over pellets etc.) Highest possible energy and CO2 savings Intelligent control of circulation-pumps, heating and ventilation Monitoring, reports and remote control …and FUN (JavaFX, SunSPOTs, Groovy etc.) 2008 CommunityOne Conference | developers.sun.com/events/communityone | 5 Buffer – the heart of the heating system. Source: paradigma.de 2008 CommunityOne Conference | developers.sun.com/events/communityone | 6 Hacking Java EE 5 is good for the environment! 2008 CommunityOne Conference | developers.sun.com/events/communityone | 7 2008 CommunityOne Conference | developers.sun.com/events/communityone | 8 UnderWorld Adam Bien Context Wonderland.dev.java.net is a “Second Life”-like 3D virtual reality in pure Java. It’s opensource – and easy to build from source (try it!) Wonderland is not a game, rather than an extensible communication/collaboration platform with high demands on scalability and performance. -
Mkusb Quick Start Manual
Dus, guidus, mkusb version 12 quick start manual by sudodus alias nio-wiklund at launchpad 14 August 2021 mkusb - quick start manual 1 Prepare for mkusb ● Drives alias mass storage devices – You need two drives or mass storage devices (pendrive, flash card, HDD, SSD). The minimum sizes are 2 GB and 8 GB, but obviously the final operating system will soon need more space for your personal files as well as for additional system files (program packages), ● a drive for the installer at least as big as the iso file for cloning, so minimum 2 GB for Ubuntu Server, 4 GB for standard Ubuntu desktop and the Ubuntu family flavours for a live only system and 8 GB or more for a persistent live system (typically a USB pendrive, but a memory card or an external SSD will also work), ● a drive for the target, the final installed operating system (typically an internal drive, but it could also be connected via USB, eSATA or a card reader). Minimum 8 GB for Lubuntu but 16 GB or more is better, and standard Ubuntu desktop with a lot of snaps needs at least 32 GB. ● Backup – Backup all personal data before trying this method because the installer drive and maybe also the target drive will be completely overwritten Tough guys never backup their data, they do the work twice instead ;-) 14 August 2021 mkusb - quick start manual 2 Install or download mkusb ● Install (or download) the shell-script mkusb and ● download the operating system as a – hybrid iso file or compressed image file. -
Ubuntu Kung Fu
Prepared exclusively for Alison Tyler Download at Boykma.Com What readers are saying about Ubuntu Kung Fu Ubuntu Kung Fu is excellent. The tips are fun and the hope of discov- ering hidden gems makes it a worthwhile task. John Southern Former editor of Linux Magazine I enjoyed Ubuntu Kung Fu and learned some new things. I would rec- ommend this book—nice tips and a lot of fun to be had. Carthik Sharma Creator of the Ubuntu Blog (http://ubuntu.wordpress.com) Wow! There are some great tips here! I have used Ubuntu since April 2005, starting with version 5.04. I found much in this book to inspire me and to teach me, and it answered lingering questions I didn’t know I had. The book is a good resource that I will gladly recommend to both newcomers and veteran users. Matthew Helmke Administrator, Ubuntu Forums Ubuntu Kung Fu is a fantastic compendium of useful, uncommon Ubuntu knowledge. Eric Hewitt Consultant, LiveLogic, LLC Prepared exclusively for Alison Tyler Download at Boykma.Com Ubuntu Kung Fu Tips, Tricks, Hints, and Hacks Keir Thomas The Pragmatic Bookshelf Raleigh, North Carolina Dallas, Texas Prepared exclusively for Alison Tyler Download at Boykma.Com Many of the designations used by manufacturers and sellers to distinguish their prod- ucts are claimed as trademarks. Where those designations appear in this book, and The Pragmatic Programmers, LLC was aware of a trademark claim, the designations have been printed in initial capital letters or in all capitals. The Pragmatic Starter Kit, The Pragmatic Programmer, Pragmatic Programming, Pragmatic Bookshelf and the linking g device are trademarks of The Pragmatic Programmers, LLC. -
Generating Commit Messages from Git Diffs
Generating Commit Messages from Git Diffs Sven van Hal Mathieu Post Kasper Wendel Delft University of Technology Delft University of Technology Delft University of Technology [email protected] [email protected] [email protected] ABSTRACT be exploited by machine learning. The hypothesis is that methods Commit messages aid developers in their understanding of a con- based on machine learning, given enough training data, are able tinuously evolving codebase. However, developers not always doc- to extract more contextual information and latent factors about ument code changes properly. Automatically generating commit the why of a change. Furthermore, Allamanis et al. [1] state that messages would relieve this burden on developers. source code is “a form of human communication [and] has similar Recently, a number of different works have demonstrated the statistical properties to natural language corpora”. Following the feasibility of using methods from neural machine translation to success of (deep) machine learning in the field of natural language generate commit messages. This work aims to reproduce a promi- processing, neural networks seem promising for automated commit nent research paper in this field, as well as attempt to improve upon message generation as well. their results by proposing a novel preprocessing technique. Jiang et al. [12] have demonstrated that generating commit mes- A reproduction of the reference neural machine translation sages with neural networks is feasible. This work aims to reproduce model was able to achieve slightly better results on the same dataset. the results from [12] on the same and a different dataset. Addition- When applying more rigorous preprocessing, however, the per- ally, efforts are made to improve upon these results by applying a formance dropped significantly. -
Introduction to Version Control with Git
Warwick Research Software Engineering Introduction to Version Control with Git H. Ratcliffe and C.S. Brady Senior Research Software Engineers \The Angry Penguin", used under creative commons licence from Swantje Hess and Jannis Pohlmann. March 12, 2018 Contents 1 About these Notes1 2 Introduction to Version Control2 3 Basic Version Control with Git4 4 Releases and Versioning 11 Glossary 14 1 About these Notes These notes were written by H Ratcliffe and C S Brady, both Senior Research Software Engineers in the Scientific Computing Research Technology Platform at the University of Warwick for a series of Workshops first run in December 2017 at the University of Warwick. This document contains notes for a half-day session on version control, an essential part of the life of a software developer. This work, except where otherwise noted, is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Li- cense. To view a copy of this license, visit http://creativecommons.org/ licenses/by-nc-nd/4.0/. The notes may redistributed freely with attribution, but may not be used for commercial purposes nor altered or modified. The Angry Penguin and other reproduced material, is clearly marked in the text and is not included in this declaration. The notes were typeset in LATEXby H Ratcliffe. Errors can be reported to [email protected] 1.1 Other Useful Information Throughout these notes, we present snippets of code and pseudocode, in particular snippets of commands for shell, make, or git. These often contain parts which you should substitute with the relevant text you want to use. -
Efficient Algorithms for Comparing, Storing, and Sharing
EFFICIENT ALGORITHMS FOR COMPARING, STORING, AND SHARING LARGE COLLECTIONS OF EVOLUTIONARY TREES A Dissertation by SUZANNE JUDE MATTHEWS Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY May 2012 Major Subject: Computer Science EFFICIENT ALGORITHMS FOR COMPARING, STORING, AND SHARING LARGE COLLECTIONS OF EVOLUTIONARY TREES A Dissertation by SUZANNE JUDE MATTHEWS Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Approved by: Chair of Committee, Tiffani L. Williams Committee Members, Nancy M. Amato Jennifer L. Welch James B. Woolley Head of Department, Hank W. Walker May 2012 Major Subject: Computer Science iii ABSTRACT Efficient Algorithms for Comparing, Storing, and Sharing Large Collections of Evolutionary Trees. (May 2012) Suzanne Jude Matthews, B.S.; M.S., Rensselaer Polytechnic Institute Chair of Advisory Committee: Dr. Tiffani L. Williams Evolutionary relationships between a group of organisms are commonly summarized in a phylogenetic (or evolutionary) tree. The goal of phylogenetic inference is to infer the best tree structure that represents the relationships between a group of organisms, given a set of observations (e.g. molecular sequences). However, popular heuristics for inferring phylogenies output tens to hundreds of thousands of equally weighted candidate trees. Biologists summarize these trees into a single structure called the consensus tree. The central assumption is that the information discarded has less value than the information retained. But, what if this assumption is not true? In this dissertation, we demonstrate the value of retaining and studying tree collections. -
Distributed Configuration Management: Mercurial CSCI 5828 Spring 2012 Mark Grebe Configuration Management
Distributed Configuration Management: Mercurial CSCI 5828 Spring 2012 Mark Grebe Configuration Management Configuration Management (CM) systems are used to store code and other artifacts in Software Engineering projects. Since the early 70’s, there has been a progression of CM systems used for Software CM, starting with SCCS, and continuing through RCS, CVS, and Subversion. All of these systems used a single, centralized repository structure. Distributed Configuration Management As opposed to traditional CM systems, Distributed Configuration Management Systems are ones where there does not have to be a central repository. Each developer has a copy of the entire repository and history. A central repository may be optionally used, but it is equal to all of the other developer repositories. Advantages of Distributed Configuration Management Distributed tools are faster than centralized ones since metadata is stored locally. Can use tool to manage changes locally while not connected to the network where server resides. Scales more easily, since all of the load is not on a central server. Allows private work that is controlled, but not released to the larger community. Distributed systems are normally designed to make merges easy, since they are done more often. Mercurial Introduction Mercurial is a cross-platform, distributed configuration management application. In runs on most modern OS platforms, including Windows, Linux, Solaris, FreeBSD, and Mac OSX. Mercurial is written 95% in Python, with the remainder written in C for speed. Mercurial is available as a command line tool on all of the platforms, and with GUI support programs on many of the platforms. Mercurial is customizable with extensions, hooks, and output templates. -
Sistemas De Control De Versiones De Última Generación (DCA)
Tema 10 - Sistemas de Control de Versiones de última generación (DCA) Antonio-M. Corbí Bellot Tema 10 - Sistemas de Control de Versiones de última generación (DCA) II HISTORIAL DE REVISIONES NÚMERO FECHA MODIFICACIONES NOMBRE Tema 10 - Sistemas de Control de Versiones de última generación (DCA) III Índice 1. ¿Qué es un Sistema de Control de Versiones (SCV)?1 2. ¿En qué consiste el control de versiones?1 3. Conceptos generales de los SCV (I) 1 4. Conceptos generales de los SCV (II) 2 5. Tipos de SCV. 2 6. Centralizados vs. Distribuidos en 90sg 2 7. ¿Qué opciones tenemos disponibles? 2 8. ¿Qué podemos hacer con un SCV? 3 9. Tipos de ramas 3 10. Formas de integrar una rama en otra (I)3 11. Formas de integrar una rama en otra (II)4 12. SCV’s con los que trabajaremos 4 13. Git (I) 5 14. Git (II) 5 15. Git (III) 5 16. Git (IV) 6 17. Git (V) 6 18. Git (VI) 7 19. Git (VII) 7 20. Git (VIII) 7 21. Git (IX) 8 22. Git (X) 8 23. Git (XI) 9 Tema 10 - Sistemas de Control de Versiones de última generación (DCA) IV 24. Git (XII) 9 25. Git (XIII) 9 26. Git (XIV) 10 27. Git (XV) 10 28. Git (XVI) 11 29. Git (XVII) 11 30. Git (XVIII) 12 31. Git (XIX) 12 32. Git. Vídeos relacionados 12 33. Mercurial (I) 12 34. Mercurial (II) 12 35. Mercurial (III) 13 36. Mercurial (IV) 13 37. Mercurial (V) 13 38. Mercurial (VI) 14 39. -
Higher Inductive Types (Hits) Are a New Type Former!
Git as a HIT Dan Licata Wesleyan University 1 1 Darcs Git as a HIT Dan Licata Wesleyan University 1 1 HITs 2 Generator for 2 equality of equality HITs Homotopy Type Theory is an extension of Agda/Coq based on connections with homotopy theory [Hofmann&Streicher,Awodey&Warren,Voevodsky,Lumsdaine,Garner&van den Berg] 2 Generator for 2 equality of equality HITs Homotopy Type Theory is an extension of Agda/Coq based on connections with homotopy theory [Hofmann&Streicher,Awodey&Warren,Voevodsky,Lumsdaine,Garner&van den Berg] Higher inductive types (HITs) are a new type former! 2 Generator for 2 equality of equality HITs Homotopy Type Theory is an extension of Agda/Coq based on connections with homotopy theory [Hofmann&Streicher,Awodey&Warren,Voevodsky,Lumsdaine,Garner&van den Berg] Higher inductive types (HITs) are a new type former! They were originally invented[Lumsdaine,Shulman,…] to model basic spaces (circle, spheres, the torus, …) and constructions in homotopy theory 2 Generator for 2 equality of equality HITs Homotopy Type Theory is an extension of Agda/Coq based on connections with homotopy theory [Hofmann&Streicher,Awodey&Warren,Voevodsky,Lumsdaine,Garner&van den Berg] Higher inductive types (HITs) are a new type former! They were originally invented[Lumsdaine,Shulman,…] to model basic spaces (circle, spheres, the torus, …) and constructions in homotopy theory But they have many other applications, including some programming ones! 2 Generator for 2 equality of equality Patches Patch a a 2c2 diff b d = < b c c --- > d 3 3 id a a b b -
Brno University of Technology Bulk Operation
BRNO UNIVERSITY OF TECHNOLOGY VYSOKÉ UČENÍ TECHNICKÉ V BRNĚ FACULTY OF INFORMATION TECHNOLOGY FAKULTA INFORMAČNÍCH TECHNOLOGIÍ DEPARTMENT OF INFORMATION SYSTEMS ÚSTAV INFORMAČNÍCH SYSTÉMŮ BULK OPERATION ORCHESTRATION IN MULTIREPO CI/CD ENVIRONMENTS HROMADNÁ ORCHESTRÁCIA V MULTIREPO CI/CD PROSTREDIACH MASTER’S THESIS DIPLOMOVÁ PRÁCE AUTHOR Bc. JAKUB VÍŠEK AUTOR PRÁCE SUPERVISOR Ing. MICHAL KOUTENSKÝ VEDOUCÍ PRÁCE BRNO 2021 Brno University of Technology Faculty of Information Technology Department of Information Systems (DIFS) Academic year 2020/2021 Master's Thesis Specification Student: Víšek Jakub, Bc. Programme: Information Technology and Artificial Intelligence Specializatio Computer Networks n: Title: Bulk Operation Orchestration in Multirepo CI/CD Environments Category: Networking Assignment: 1. Familiarize yourself with the principle of CI/CD and existing solutions. 2. Familiarize yourself with the multirepo approach to software development. 3. Analyze the shortcomings of existing CI/CD solutions in the context of multirepo development with regard to user comfort. Focus on scheduling and deploying bulk operations on multiple interdependent repositories as part of a single logical branching pipeline. 4. Propose and design a solution to these shortcomings. 5. Implement said solution. 6. Test and evaluate the solution's functionality in a production environment. Recommended literature: Humble, Jez, and David Farley. Continuous delivery. Upper Saddle River, NJ: Addison- Wesley, 2011. Forsgren, Nicole, Jez Humble, and Gene Kim. Accelerate : building and scaling high performing technology organizations. Portland, OR: IT Revolution Press, 2018. Nicolas Brousse. 2019. The issue of monorepo and polyrepo in large enterprises. In Proceedings of the Conference Companion of the 3rd International Conference on Art, Science, and Engineering of Programming (Programming '19). Association for Computing Machinery, New York, NY, USA, Article 2, 1-4. -
Version Control – Agile Workflow with Git/Github
Version Control – Agile Workflow with Git/GitHub 19/20 November 2019 | Guido Trensch (JSC, SimLab Neuroscience) Content Motivation Version Control Systems (VCS) Understanding Git GitHub (Agile Workflow) References Forschungszentrum Jülich, JSC:SimLab Neuroscience 2 Content Motivation Version Control Systems (VCS) Understanding Git GitHub (Agile Workflow) References Forschungszentrum Jülich, JSC:SimLab Neuroscience 3 Motivation • Version control is one aspect of configuration management (CM). The main CM processes are concerned with: • System building • Preparing software for releases and keeping track of system versions. • Change management • Keeping track of requests for changes, working out the costs and impact. • Release management • Preparing software for releases and keeping track of system versions. • Version control • Keep track of different versions of software components and allow independent development. [Ian Sommerville,“Software Engineering”] Forschungszentrum Jülich, JSC:SimLab Neuroscience 4 Motivation • Keep track of different versions of software components • Identify, store, organize and control revisions and access to it • Essential for the organization of multi-developer projects is independent development • Ensure that changes made by different developers do not interfere with each other • Provide strategies to solve conflicts CONFLICT Alice Bob Forschungszentrum Jülich, JSC:SimLab Neuroscience 5 Content Motivation Version Control Systems (VCS) Understanding Git GitHub (Agile Workflow) References Forschungszentrum Jülich, -
IBM Rational Team Concert V4.0.3 Keeps Development Teams Focused
IBM United States Software Announcement 213-236, dated June 3, 2013 IBM Rational Team Concert V4.0.3 keeps development teams focused and on track by enabling collaboration, coordination, and automation of project status for all stakeholders Table of contents 1 Overview 5 Publications 2 Key prerequisites 5 Technical information 2 Planned availability date 9 Ordering information 2 Description 22 Terms and conditions 4 Statement of direction 25 Prices 4 Program number 25 Order now At a glance IBM® Rational Team ConcertTM provides the developer role for the Rational® Solution for Collaborative LifeCycle Management. This release focuses on user productivity. Rational Team Concert V4.0.3: • Includes a design that is easy to use. • Provides faster performance. • Enables tighter Software Configuration Management (SCM) integration when using Jenkins-Hudson open source tools. For ordering, contact your IBM representative or an IBM Business Partner. For more information contact the Americas Call Centers at 800-IBM-CALL (426-2255). Reference: AE001 Overview Rational Quality Manager assists organizations of all sizes and levels of complexity to optimize organizational quality by introducing quality early in the application lifecycle and by coordinating quality processes and teams throughout the lifecycle. Rational Quality Manager V4.0.3 offers these main enhancements: • Integrating service virtualization with test management. By linking virtual components deployed in Rational Test Virtualization Server with test execution records in Rational Quality Manager, testers can plan and control virtual components availability for testing and accelerate testing cycles. • Increasing team productivity and agility. Enhanced keyword support for multi- channel testing helps QA teams reuse test scenarios across multiple end points such as web and mobile.