Oracle BPM Version Control System Integration Tips and Troubleshooting
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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. -
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 -
Bluej Teamwork Repository Configuration
BlueJ Teamwork Repository Configuration Version 2.0 for BlueJ Version 2.5.0 (and 2.2.x) Davin McCall School of Engineering & IT, Deakin University 1 Introduction This document gives a brief description of how you might set up a version control repository for use with BlueJ’s teamwork features. It is intended mainly as a “quick start” guide and not as a complete reference – for that you should refer to the version control software documentation (i.e. the CVS manual or the Subversion manual) – but it does explain some BlueJ-specific concepts (such as how BlueJ supports the notion of student groups or teams). Setting up a repository usually requires a server to which you have “root” or administrator access. This may mean that you need to ask a Systems Administrator to set up the repository for you. Since BlueJ version 2.5.0, both Subversion and CVS are supported version control systems. BlueJ version 2.2.x supports only CVS. BlueJ versions prior to 2.2.0 did not support teamwork features. Chapters 2 and 3 explain how to set up and test a repository using CVS. Chapter 4 then covers the equivalent steps for using Subversion. 2 Setting up a simple single user CVS repository for testing the BlueJ teamwork features 2.1 Setting up the repository server On Unix / Linux / MacOS X: You must have the CVS software installed on the machine you intend to use as a server. There is a good chance that it is already installed, but if not, your vendor or distribution provider will almost certainly provide packages that can be installed. -
Homework 0: Account Setup for Course and Cloud FPGA Intro Questions
Cloud FPGA Homework 0 Fall 2019 Homework 0 Jakub Szefer 2019/10/20 Please follow the three setup sections to create BitBucket git repository, install LATEX tools or setup Overleaf account, and get access to the course's git repository. Once you have these done, answer the questions that follow. Submit your solutions as a single PDF file generated from a template; more information is at end in the Submission Instructions section. Setup BitBucket git Repository This course will use git repositories for code development. Each student should setup a free BitBucket (https://bitbucket.org) account and create a git repository for the course. Please make the repository private and give WRITE access to your instructor ([email protected]). Please send the URL address of the repository to the instructor by e-mail. Make sure there is a README:md file in the repository (access to the repository will be tested by a script that tries to download the README:md from the repository address you share). Also, if you are using a Apple computer, please add :gitignore file which contains one line: :DS Store (to prevent the hidden :DS Store files from accidentally being added to the repository). If you have problems accessing BitBucket git from the command line, please see the Appendix. Setup LATEX and Overleaf Any written work (including this homework's solutions) will be submitted as PDF files generated using LATEX [1] from provided templates. Students can setup a free Overleaf (https://www. overleaf.com) account to edit LATEX files and generate PDFs online; or students can install LATEX tools on their computer. -
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, -
New York Software Symposium New York Information Technology Center June 24 - 25, 2011
New York Software Symposium New York Information Technology Center June 24 - 25, 2011 Fri, Jun. 24, 2011 Room 2 Room 3 Room 4 Room 5 Room 6 8:00 - 9:00 AM REGISTRATION/BREAKFAST/WELCOME 9:00 - 10:30 AM Slimmed Down Software: Busy Java Developer's Sonar: Code Quality Programming HTML5 Concurrency without A Lean Approach Guide to Java 7 Metrics Made Easy Tim Berglund pain in pure Java Hamlet D`Arcy Ted Neward Matthew McCullough Venkat Subramaniam 10:30 - 11:00 AM BREAK 11:00 - 12:30 PM New Ideas for Old Code Busy Java Developer's Open Source Debugging NoSQL Smackdown! Collections for Concurrency Hamlet D`Arcy Guide to Games Tools for Java Tim Berglund Venkat Subramaniam Ted Neward Matthew McCullough 12:30 - 2:30 PM LUNCH & KEYNOTE 2:30 - 4:00 PM Pragmatic Architecture Java Boilerplate Busters Cascading through Hadoop: A Getting Started with Grails Programming in Functional Style Ted Neward Hamlet D`Arcy DSL for Simpler MapReduce Tim Berglund Venkat Subramaniam Matthew McCullough 4:00 - 4:30 PM BREAK 4:30 - 6:00 PM How to Select and Architectural Kata Workshop Resource-Oriented Cassandra: Radical Scala for the Intrigued Adopt a Technology Ted Neward Architectures : REST I NoSQL Scalability Venkat Subramaniam Peter Bell Brian Sletten Tim Berglund New York Software Symposium New York Information Technology Center June 24 - 25, 2011 Sat, Jun. 25, 2011 Room 2 Room 3 Room 4 Room 5 Room 6 8:00 - 9:00 AM BREAKFAST 9:00 - 10:30 AM Cryptography on the Resource-Oriented Integrating JVM Languages Complexity Theory and Busy Java Developer's -
Git Basics Git Expertise
Overview Git basics Git expertise Git A GNU Alternative to Bitkeeper Mohamed Barakat University of Kaiserslautern ITWM Kaiserslautern, January 2010 Mohamed Barakat Git Overview Git basics Git expertise 1 Git basics The Git configuration file Create a Git-repository Using a Git-repository 2 Git expertise Branching Pulling Merging and Cherry-Picking Mohamed Barakat Git Overview The Git configuration file Git basics Create a Git-repository Git expertise Using a Git-repository Overview 1 Git basics The Git configuration file Create a Git-repository Using a Git-repository 2 Git expertise Branching Pulling Merging and Cherry-Picking Mohamed Barakat Git Overview The Git configuration file Git basics Create a Git-repository Git expertise Using a Git-repository Git working copy and Git-repsoitory Git is a distributed SCM Git is a distributed Source Code Management system (SCM), i.e. each Git working copy sits on top of its own local Git repository located in a single top-level subdirectory .git. SVN is in contrast to Git a centralized SCM system, i.e. the SVN-repository is on exactly one server. Git allows you to commit, checkout, reset, etc. without contacting a server! Mohamed Barakat Git Overview The Git configuration file Git basics Create a Git-repository Git expertise Using a Git-repository The configuration file ˜/.gitconfig Create a Git configuration file vi ˜/.gitconfig [svn] authorsfile = .git/info/svn-authors [color] diff = auto status = auto branch = auto [user] name = Firstname Lastname email = [email protected] Mohamed Barakat Git Overview The Git configuration file Git basics Create a Git-repository Git expertise Using a Git-repository Create a Git-repository (quick version) init, add, commit Create a Git-repository in the directory XY: 1 cd XY 2 git init 3 git add . -
Opinnäytetyö Ohjeet
Lappeenrannan–Lahden teknillinen yliopisto LUT School of Engineering Science Tietotekniikan koulutusohjelma Kandidaatintyö Mikko Mustonen PARHAITEN OPETUSKÄYTTÖÖN SOVELTUVAN VERSIONHALLINTAJÄRJESTELMÄN LÖYTÄMINEN Työn tarkastaja: Tutkijaopettaja Uolevi Nikula Työn ohjaaja: Tutkijaopettaja Uolevi Nikula TIIVISTELMÄ LUT-yliopisto School of Engineering Science Tietotekniikan koulutusohjelma Mikko Mustonen Parhaiten opetuskäyttöön soveltuvan versionhallintajärjestelmän löytäminen Kandidaatintyö 2019 31 sivua, 8 kuvaa, 2 taulukkoa Työn tarkastajat: Tutkijaopettaja Uolevi Nikula Hakusanat: versionhallinta, versionhallintajärjestelmä, Git, GitLab, SVN, Subversion, oppimateriaali Keywords: version control, version control system, Git, GitLab, SVN, Subversion, learning material LUT-yliopistossa on tietotekniikan opetuksessa käytetty Apache Subversionia versionhallintaan. Subversionin käyttö kuitenkin johtaa ylimääräisiin ylläpitotoimiin LUTin tietohallinnolle. Lisäksi Subversionin julkaisun jälkeen on tullut uusia versionhallintajärjestelmiä ja tässä työssä tutkitaankin, olisiko Subversion syytä vaihtaa johonkin toiseen versionhallintajärjestelmään opetuskäytössä. Työn tavoitteena on löytää opetuskäyttöön parhaiten soveltuva versionhallintajärjestelmä ja tuottaa sille opetusmateriaalia. Työssä havaittiin, että Git on suosituin versionhallintajärjestelmä ja se on myös suhteellisen helppo käyttää. Lisäksi GitLab on tutkimuksen mukaan Suomen yliopistoissa käytetyin ja ominaisuuksiltaan ja hinnaltaan sopivin Gitin web-käyttöliittymä. Näille tehtiin -
Collaboration Tools in Software Engineering Stepan Bolotnikov Me
Collaboration Tools in Software Engineering Stepan Bolotnikov Me ● Stepan Bolotnikov ● Software Engineer at Guardtime ● MSc in Software Engineering from UT, 2018 ● [email protected] You Mostly BSc students in Computer Science ● Software developers / QA engineers ● CS researchers ● Project managers / team leads In any case connected to software projects, sharing knowledge and resources Course ● History and working principles of version control systems (VCS) ● Git distributed VCS ● Issue tracking ● Theoretical knowledge + practical hands-on exercises ● 8 sessions ● Every 2nd Friday ● Lecture + practice ● Non-differentiated (pass/fail) Schedule ● 22. Feb - Introduction, history of VCS ● 08. Mar - Introduction to Git, setting up the first repository, basic Git usage ● 22. Mar - Common Git commands ● 05. Apr - Branching in Git, common branching models ● 19. Apr - Troubleshooting common Git issues ● 03. May - Github; Issue tracking ● 17. May - Advanced Git usage; git hooks and CI ● 31. May - Guest lecture, preparation for exam ● 07. June - Exam 1 ● 14. June - Exam 2 Sessions ● 4h ● Lecture part ● Practical part Final exam ● 7th or 17th June ● Individual practical tasks ● “Poor”, “Satisfactory” or “Good” ● “Satisfactory” and “Good” - passing In order to pass the course ● Active participation in at least 6 out of 8 sessions ○ Complete the practical tasks ● “Satisfactory” or “Good” on the final exam Communication Course website http://courses.cs.ut.ee/2019/cse Course Slack Click Lecture 1: Introduction to course, History of Version