Concurrent Versions System (Cvsnt) 2.8.01.7886 Cvsnt--Concurrent Versions System (Cvsnt) 2.8.01.7886 2 / 142

Total Page:16

File Type:pdf, Size:1020Kb

Concurrent Versions System (Cvsnt) 2.8.01.7886 Cvsnt--Concurrent Versions System (Cvsnt) 2.8.01.7886 2 / 142 cvsnt--Concurrent Versions System 1 / 142 (cvsnt) 2.8.01.7886 cvsnt--Concurrent Versions System (cvsnt) 2.8.01.7886 cvsnt--Concurrent Versions System (cvsnt) 2.8.01.7886 2 / 142 COLLABORATORS TITLE : REFERENCE : cvsnt--Concurrent Versions System (cvsnt) 2.8.01.7886 ACTION NAME DATE SIGNATURE WRITTEN BY July 30, 2021 REVISION HISTORY NUMBER DATE DESCRIPTION NAME cvsnt--Concurrent Versions System (cvsnt) 2.8.01.7886 3 / 142 Contents 1 Overview 1 1.1 What is CVS? . 1 1.2 What is CVS not? . 2 1.3 A sample session . 3 1.3.1 Getting the source . 3 1.3.2 Committing your changes . 3 1.3.3 Cleaning up . 4 1.3.4 Viewing differences . 4 2 The Repository 6 2.1 Telling CVS where your repository is . 6 2.2 How data is stored in the repository . 7 2.2.1 Where files are stored within the repository . 7 2.2.2 File permissions . 8 2.2.3 The attic . 9 2.2.4 The CVS directory in the repository . 9 2.2.5 CVS locks in the repository . 9 2.2.6 How files are stored in the CVSROOT directory . 10 2.3 How data is stored in the working directory . 10 2.4 The administrative files . 13 2.4.1 Editing administrative files . 13 2.5 Multiple repositories . 13 2.6 Creating a repository . 13 2.7 Backing up a repository . 14 2.8 Moving a repository . 14 2.9 Remote repositories . 15 2.9.1 Server requirements . 15 2.9.2 Connecting with ssh . 15 2.9.3 Using 3rd party clients via the extnt wrapper . 16 2.9.4 Direct connection with password authentication . 17 cvsnt--Concurrent Versions System (cvsnt) 2.8.01.7886 4 / 142 2.9.4.1 Setting up the server for Authentication . 17 2.9.4.2 CVS passwd file . 17 2.9.4.3 Using the client with password authentication . 18 2.9.4.4 Security considerations with password authentication . 19 2.9.5 Direct connection with GSSAPI . 19 2.9.6 Connecting with fork . 20 2.9.7 Using repository aliases . 20 3 Security 21 3.1 How to set up security . 21 3.2 How to add and delete users . 21 3.3 Setting permissions for files and directories . 21 3.4 Groups of users can be assigned permissions . 22 3.5 Running CVSNT as a nonprivileged user . 23 3.6 Running within a chroot jail . 23 3.7 Setting and changing passwords . 23 3.8 Repository administrators . 23 3.9 Read-only repository access . 23 3.10 Temporary directories for the server . 24 3.11 The CVSNT lockserver . 24 4 Starting a project with CVS 25 4.1 Setting up the files . 25 4.1.1 Creating a directory tree from a number of files . 25 4.1.2 Creating Files From Other Version Control Systems . 26 4.1.3 Creating a directory tree from scratch . 26 4.2 Defining the module . 26 5 Revisions 28 5.1 Revision numbers . 28 5.2 Versions, revisions and releases . 28 5.3 Assigning revisions . 28 5.4 Tags-Symbolic revisions . 29 5.5 Specifying what to tag from the working directory . 30 5.6 Specifying what to tag by date or revision . 31 5.7 Deleting, moving, and renaming tags . 31 5.8 Tagging and adding and removing files . 32 5.9 Alias tags . 32 5.10 Commit identifiers . 32 5.11 Sticky tags . 32 cvsnt--Concurrent Versions System (cvsnt) 2.8.01.7886 5 / 142 6 Branching and merging 34 6.1 What branches are good for . 34 6.2 Creating a branch . 34 6.3 Accessing branches . 35 6.4 Branches and revisions . 36 6.5 Magic branch numbers . 36 6.6 Merging an entire branch . 37 6.7 Merging from a branch several times . 38 6.8 Merging differences between any two revisions . 38 6.9 Merging can add or remove files . 39 6.10 Merging and keywords . ..
Recommended publications
  • Version Control 101 Exported from Please Visit the Link for the Latest Version and the Best Typesetting
    Version Control 101 Exported from http://cepsltb4.curent.utk.edu/wiki/efficiency/vcs, please visit the link for the latest version and the best typesetting. Version Control 101 is created in the hope to minimize the regret from lost files or untracked changes. There are two things I regret. I should have learned Python instead of MATLAB, and I should have learned version control earlier. Version control is like a time machine. It allows you to go back in time and find out history files. You might have heard of GitHub and Git and probably how steep the learning curve is. Version control is not just Git. Dropbox can do version control as well, for a limited time. This tutorial will get you started with some version control concepts from Dropbox to Git for your needs. More importantly, some general rules are suggested to minimize the chance of file losses. Contents Version Control 101 .............................................................................................................................. 1 General Rules ................................................................................................................................... 2 Version Control for Files ................................................................................................................... 2 DropBox or Google Drive ............................................................................................................. 2 Version Control on Confluence ...................................................................................................
    [Show full text]
  • Cvs Latest Version Download Cvs Latest Version Download
    cvs latest version download Cvs latest version download. cvs (Concurrent Versions System) command in Linux is used to store the history of a file. Whenever a file gets corrupted or anything goes wrong “cvs” help us to go back to the previous version and restore our file. Syntax: –allow-root=rootdir : Specify repository on the command line. It also specify legal cvsroot directory. See ‘Password authentication server’ in the CVS manual. -d, cvs_root_directory : It uses cvs_root_directory as the directory path name of the repository. It also overrides the $CVSROOT environment variable. -e, editor-command : It uses the editor command specified for entering log information. It also overrides $CVSEDITOR and $EDITOR environment variables. -f : It does not read the. CVS Commands: add : Add a new file/directory to the repository. admin : Administration front-end for RCS. annotate : Shows the last revision where each line was modified. checkout : Checkout sources for editing. commit : Check files into the repository. diff : Show differences between revisions. edit : Get ready to edit a watched file. editors : See who is editing a watched file. export : Export sources from CVS, similar to checkout. history : Show repository access history. import : Import sources into CVS, using vendor branches. init : It create a CVS repository if it doesn’t exist. log : Print out history information for files. rdiff : Create ‘patch’ format diffs between revisions. status : Display status information on checked out files. tag : It adds a symbolic tag to checked out version of files. unedit : Undo anedit command. update : Bring work tree in sync with repository. version : Show current CS version(s).
    [Show full text]
  • Tortoisemerge a Diff/Merge Tool for Windows Version 1.11
    TortoiseMerge A diff/merge tool for Windows Version 1.11 Stefan Küng Lübbe Onken Simon Large TortoiseMerge: A diff/merge tool for Windows: Version 1.11 by Stefan Küng, Lübbe Onken, and Simon Large Publication date 2018/09/22 18:28:22 (r28377) Table of Contents Preface ........................................................................................................................................ vi 1. TortoiseMerge is free! ....................................................................................................... vi 2. Acknowledgments ............................................................................................................. vi 1. Introduction .............................................................................................................................. 1 1.1. Overview ....................................................................................................................... 1 1.2. TortoiseMerge's History .................................................................................................... 1 2. Basic Concepts .......................................................................................................................... 3 2.1. Viewing and Merging Differences ...................................................................................... 3 2.2. Editing Conflicts ............................................................................................................. 3 2.3. Applying Patches ...........................................................................................................
    [Show full text]
  • Auswirkungen Der Benutzung Von Zentralen Und Dezentralen Versionsverwaltungssystemen in Open Source Projekten
    Auswirkungen der Benutzung von zentralen und dezentralen Versionsverwaltungssystemen In Open Source Projekten Masterarbeit an der Freien Universität Berlin für den Abschluss zum Master of Computer Science Jana von dem Berge 16. April 2009 Fachbereich Mathematik und Informatik Arbeitsgruppe Software Engineering Betreuer: Christopher Oezbek II Selbstständigkeitserklärung: Hiermit erkläre ich, dass ich diese Arbeit vollkommen selbständig verfasst und keine anderen als die angegebenen Quellen und Hilfsmittel benutzt sowie Zitate kenntlich gemacht habe. Berlin, 16. April 2009 Jana von dem Berge III IV Inhalt 1 Einleitung............................................................................................................. 1 1.1 Open Source Projekte .................................................................................. 1 1.2 Aufgabenstellung.......................................................................................... 1 1.3 Versionsverwaltungssysteme....................................................................... 3 1.3.1 Einführung............................................................................................. 3 1.3.2 Zentrale Versionsverwaltungssysteme.................................................. 5 1.3.3 Dezentrale Versionsverwaltungssysteme ............................................. 8 2 Forschungsmethode.......................................................................................... 10 2.1 Grounded Theory ......................................................................................
    [Show full text]
  • 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.
    [Show full text]
  • A Dynamic Software Configuration Management System
    1 A DYNAMIC SOFTWARE CONFIGURATION MANAGEMENT SYSTEM A THESIS SUBMITTED TO THE GRADUATE SCHOOL OF MIDDLE EAST TECHNICAL UNIVERSITY OF MIDDLE EAST TECHNICAL UNIVERSITY BY FATMA GULS¸AH¨ KANDEMIR˙ IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE IN COMPUTER ENGINEERING SEPTEMBER 2012 Approval of the thesis: A DYNAMIC SOFTWARE CONFIGURATION MANAGEMENT SYSTEM submitted by FATMA GULS¸AH¨ KANDEMIR˙ in partial fulfillment of the requirements for the degree of Master of Science in Computer Engineering Department, Middle East Technical Uni- versity by, Prof. Dr. Canan Ozgen¨ Dean, Graduate School of Natural and Applied Sciences Prof. Dr. Adnan Yazıcı Head of Department, Computer Engineering Assoc. Prof. Ali Hikmet Dogru˘ Supervisor, Computer Engineering Dept., METU Dr. Cengiz Erbas¸ Co-supervisor, ASELSAN Examining Committee Members: Assoc. Prof. Ahmet Cos¸ar Computer Engineering Dept., METU Assoc. Prof. Ali Hikmet Dogru˘ Computer Engineering Dept., METU Dr. Cengiz Erbas¸ ASELSAN Assoc. Prof. Pınar S¸enkul Computer Engineering Dept., METU Assoc. Prof. Halit Oguzt˘ uz¨ un¨ Computer Engineering Dept., METU Date: I hereby declare that all information in this document has been obtained and presented in accordance with academic rules and ethical conduct. I also declare that, as required by these rules and conduct, I have fully cited and referenced all material and results that are not original to this work. Name, Last Name: FATMA GULS¸AH¨ KANDEMIR˙ Signature : iii ABSTRACT A DYNAMIC SOFTWARE CONFIGURATION MANAGEMENT SYSTEM Kandemir, Fatma Guls¸ah¨ M.S., Department of Computer Engineering Supervisor : Assoc. Prof. Ali Hikmet Dogru˘ Co-Supervisor : Dr. Cengiz Erbas¸ September 2012, 70 pages Each software project requires a specialized management to handle software development activities throughout the project life cycle successfully and efficiently.
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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,
    [Show full text]
  • Revision Control
    Revision Control Tomáš Kalibera, (Peter Libič) Department of Distributed and Dependable Systems http://d3s.mff.cuni.cz CHARLES UNIVERSITY PRAGUE Faculty of Mathematics and Physics Problems solved by revision control What is it good for? Keeping history of system evolution • What a “system” can be . Source code (single file, source tree) . Textual document . In general anything what can evolve – can have versions • Why ? . Safer experimentation – easy reverting to an older version • Additional benefits . Tracking progress (how many lines have I added yesterday) . Incremental processing (distributing patches, …) Allowing concurrent work on a system • Why concurrent work ? . Size and complexity of current systems (source code) require team work • How can concurrent work be organized ? 1. Independent modifications of (distinct) system parts 2. Resolving conflicting modifications 3. Checking that the whole system works . Additional benefits . Evaluating productivity of team members Additional benefits of code revision control • How revision control helps . Code is isolated at one place (no generated files) . Notifications when a new code version is available • Potential applications that benefit . Automated testing • Compile errors, functional errors, performance regressions . Automated building . Backup • Being at one place, the source is isolated from unneeded generated files . Code browsing • Web interface with hyperlinked code Typical architecture Working copy Source code repository (versioned sources) synchronization Basic operations • Check-out . Create a working copy of repository content • Update . Update working copy using repository (both to latest and historical version) • Check-in (Commit) . Propagate working copy back to repository • Diff . Show differences between two versions of source code Simplified usage scenario Source code Check-out or update repository Working 1 copy 2 Modify & Test Check-in 3 Exporting/importing source trees • Import .
    [Show full text]
  • FAKULTÄT FÜR INFORMATIK Leveraging Traceability Between Code and Tasks for Code Reviews and Release Management
    FAKULTÄT FÜR INFORMATIK DER TECHNISCHEN UNIVERSITÄT MÜNCHEN Master’s Thesis in Informatics Leveraging Traceability between Code and Tasks for Code Reviews and Release Management Jan Finis FAKULTÄT FÜR INFORMATIK DER TECHNISCHEN UNIVERSITÄT MÜNCHEN Master’s Thesis in Informatics Leveraging Traceability between Code and Tasks for Code Reviews and Release Management Einsatz von Nachvollziehbarkeit zwischen Quellcode und Aufgaben für Code Reviews und Freigabemanagement Author: Jan Finis Supervisor: Prof. Bernd Brügge, Ph.D. Advisors: Maximilian Kögel, Nitesh Narayan Submission Date: May 18, 2011 I assure the single-handed composition of this master’s thesis only supported by declared resources. Sydney, May 10th, 2011 Jan Finis Acknowledgments First, I would like to thank my adviser Maximilian Kögel for actively supporting me with my thesis and being reachable for my frequent issues even at unusual times and even after he left the chair. Furthermore, I would like to thank him for his patience, as the surrounding conditions of my thesis, like me having an industrial internship and finishing my thesis abroad, were sometimes quite impedimental. Second, I want to thank my other adviser Nitesh Narayan for helping out after Max- imilian has left the chair. Since he did not advise me from the start, he had more effort working himself into my topic than any usual adviser being in charge of a thesis from the beginning on. Third, I want to thank the National ICT Australia for providing a workspace, Internet, and library access for me while I was finishing my thesis in Sydney. Finally, my thanks go to my supervisor Professor Bernd Brügge, Ph.D.
    [Show full text]
  • Change Management
    Enterprise Architect User Guide Series Change Management Managing change in a model? Sparx Systems Enterprise Architect has many tools to maintain data, such as Version Control, milestone Baselines, change Auditing, Project Transfer for backups, Validation, Integrity Checking and role-based User Security. Author: Sparx Systems Date: 16/01/2019 Version: 1.0 CREATED WITH Table of Contents Change Management 4 Version Control 5 Introduction 6 Version Control Usage 8 Version Control of Model Data 9 Version Control and Reference Data 10 Version Controlling Packages 11 Applying Version Control in a Team Environment 12 Version Control Nested Packages 14 Add Connectors To Locked Elements 15 Project Browser Indicators 16 Offline Version Control 17 Version Control Branching 19 Version Control Product Setup 20 System Requirements 22 Create a Subversion Environment 24 Create a new Repository Sub-tree 26 Create a Local Working Copy 27 Verify the SVN Workspace 28 Subversion Under Wine-Crossover 29 Preparing a Subversion Environment Under Wine 30 TortoiseSVN 32 Create a TFS Environment 33 TFS Workspaces 35 TFS Exclusive Check Outs 37 Verify the TFS Workspace 38 Create a CVS Environment 39 Prepare a CVS Local Workspace 41 Verify the CVS Workspace 42 TortoiseCVS 43 Create an SCC Environment 44 Upgrade at Enterprise Architect Version 4.5, Under SCC Version Control 46 Version Control Set Up 47 Re-use an Existing Configuration 48 Version Control Settings 49 SCC Settings 51 CVS Settings 53 SVN Settings 55 TFS Settings 57 Use Version Control 59 Configure Controlled
    [Show full text]