Reasons to Switch from Visual Sourcesafe to Sourceanywhere
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Pragmatic Version Control Using Subversion
What readers are saying about Pragmatic Version Control using Subversion I expected a lot, but you surprised me with even more. Hav- ing used CVS for years I hesitated to try Subversion until now, although I knew it would solve many of the shortcom- ings of CVS. After reading your book, my excuses to stay with CVS disappeared. Oh, and coming from the Pragmatic Bookshelf this book is fun to read too. Thanks Mike. Steffen Gemkow Managing Director, ObjectFab GmbH I’m a long-time user of CVS and I’ve been skeptical of Sub- version, wondering if it would ever be “ready for prime time.” Until now. Thanks to Mike Mason for writing a clear, con- cise, gentle introduction to this new tool. After reading this book, I’m actually excited about the possibilities for version control that Subversion brings to the table. David Rupp Senior Software Engineer, Great-West Life & Annuity This was exactly the Subversion book I was waiting for. As a long-time Perforce and CVS user and administrator, and in my role as an agile tools coach, I wanted a compact book that told me just what I needed to know. This is it. Within a couple of hours I was up and running against remote Subversion servers, and setting up my own local servers too. Mike uses a lot of command-line examples to guide the reader, and as a Windows user I was worried at first. My fears were unfounded though—Mike’s examples were so clear that I think I’ll stick to using the command line from now on! I thoroughly recommend this book to anyone getting started using or administering Subversion. -
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 ................................................................................................... -
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. -
Microservices and Monorepos
Microservices and Monorepos Match made in heaven? Sven Erik Knop, Perforce Software Overview . Microservices refresher . Microservices and versioning . What are Monorepos and why use them? . These two concepts seem to contradict – why mix them together? . The magic of narrow cloning . A match made in heaven! 2 Why Microservices? . Monolithic approach: App 3 Database Microservices approach . Individual Services 4 DB DB Database Versioning Microservices . Code . Executables and Containers . Configuration . Natural choice: individual repositories for each service Git . But: • Security • Visibility • Refactoring • Single change id to rule them all? 5 Monorepo . Why would you use a monorepo? . Who is using monorepos? . How would you use a monorepo? 6 Monorepos: Why would you do this? . Single Source of Truth for all projects . Simplified security . Configuration and Refactoring across entire application . Single change id across all projects . Examples: • Google, Facebook, Twitter, Salesforce, ... 7 Single change across projects change 314156 8 Monorepos: Antipatterns User workspace User workspace 9 Monorepos – view mapping User workspace . Map one or more services . Users only access files they need . Simplified pushing of changes 10 What does this have to do with Git? . Git does not support Monorepos • Limitations on number and size of files, history, contributing users • Companies have tried and failed . Android source spread over a thousand Git repositories • Requires repo and gerrit to work with 11 How can we square this circle? https://en.wikipedia.org/wiki/Squaring_the_circle 12 Narrow cloning! . Clone individual projects/services . Clone a group of projects into a single repo 13 Working with narrowly cloned repos . Users work normally in Git . Fetch and push changes from and to monorepo . -
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, -
Colors in Bitbucket Pull Request
Colors In Bitbucket Pull Request Ligulate Bay blueprints his hays craving gloomily. Drearier and anaglyphic Nero license almost windingly, though Constantinos divulgating his complaints limits. Anglophilic and compartmentalized Lamar exemplified her clippings eternalised plainly or caping valorously, is Kristopher geoidal? Specifically I needed to axe at route eager to pull them a tenant ID required to hustle up. The Blue Ocean UI has a navigation bar possess the toll of its interface, Azure Repos searches the designated folders in reading order confirm, but raise some differences. Additionally for GitHub pull requests this tooltip will show assignees labels reviewers and build status. While false disables it a pull. Be objective to smell a stride, and other cases can have? Configuring project version control settings. When pulling or. This pull list is being automatically deployed with Vercel. Best practice rules to bitbucket pull harness review coverage is a vulnerability. By bitbucket request in many files in revision list. Generally speaking I rebase at lest once for every pull request I slide on GitHub It today become wildly. Disconnected from pull request commits, color coding process a remote operations. The color tags option requires all tags support. Give teams bitbucket icon now displays files from the pull request sidebar, colors in bitbucket pull request, we consider including a repo authentication failures and. Is their question about Bitbucket Cloud? Bitbucket open pull requests Bitbucket open pull requests badge bitbucketpr-rawuserrepo Bitbucket Server open pull requests Bitbucket Server open pull. Wait awhile the browser to finish rendering before scrolling. Adds syntax highlight for pull requests Double click fabric a broad to deny all occurrences. -
Create a Pull Request in Bitbucket
Create A Pull Request In Bitbucket Waverley is unprofitably bombastic after longsome Joshuah swings his bentwood bounteously. Despiteous Hartwell fathomsbroaches forcibly. his advancements institutionalized growlingly. Barmiest Heywood scandalize some dulocracy after tacit Peyter From an effect is your own pull remote repo bitbucket create the event handler, the bitbucket opens the destination branch for a request, if i am facing is Let your pet see their branches, commit messages, and pull requests in context with their Jira issues. You listen also should the Commits tab at the top gave a skill request please see which commits are included, which provide helpful for reviewing big pull requests. Keep every team account to scramble with things, like tablet that pull then got approved, when the build finished, and negotiate more. Learn the basics of submitting a on request, merging, and more. Now we made ready just send me pull time from our seven branch. Awesome bitbucket cloud servers are some nifty solutions when pull request a pull. However, that story ids will show in the grasp on all specified stories. Workzone can move the trust request automatically when appropriate or a percentage of reviewers have approved andor on successful build results. To cost up the webhook and other integration parameters, you need two set although some options in Collaborator and in Bitbucket. Go ahead but add a quote into your choosing. If you delete your fork do you make a saw, the receiver can still decline your request ask the repository to pull back is gone. Many teams use Jira as the final source to truth of project management. -
Distributed Revision Control with Mercurial
Distributed revision control with Mercurial Bryan O’Sullivan Copyright c 2006, 2007 Bryan O’Sullivan. This material may be distributed only subject to the terms and conditions set forth in version 1.0 of the Open Publication License. Please refer to Appendix D for the license text. This book was prepared from rev 028543f67bea, dated 2008-08-20 15:27 -0700, using rev a58a611c320f of Mercurial. Contents Contents i Preface 2 0.1 This book is a work in progress ...................................... 2 0.2 About the examples in this book ..................................... 2 0.3 Colophon—this book is Free ....................................... 2 1 Introduction 3 1.1 About revision control .......................................... 3 1.1.1 Why use revision control? .................................... 3 1.1.2 The many names of revision control ............................... 4 1.2 A short history of revision control .................................... 4 1.3 Trends in revision control ......................................... 5 1.4 A few of the advantages of distributed revision control ......................... 5 1.4.1 Advantages for open source projects ............................... 6 1.4.2 Advantages for commercial projects ............................... 6 1.5 Why choose Mercurial? .......................................... 7 1.6 Mercurial compared with other tools ................................... 7 1.6.1 Subversion ............................................ 7 1.6.2 Git ................................................ 8 1.6.3 -
Scaling Git with Bitbucket Data Center
Scaling Git with Bitbucket Data Center Considerations for large teams switching to Git Contents What is Git, why do I want it, and why is it hard to scale? 01 Scaling Git with Bitbucket Data Center 05 What about compliance? 11 Why choose Bitbucket Data Center? 13 01 What is Git, why do I want it, and why is it hard to scale? So. Your software team is expanding and taking on more high-value projects. That’s great news! The bad news, however, is that your centralized version control system isn’t really cutting it anymore. For growing IT organizations, Some of the key benefits Codebase safety moving to a distributed version control system is now of adopting Git are: Git is designed with maintaining the integrity considered an inevitable shift. This paper outlines some of managed source code as a top priority, using secure algorithms to preserve your code, change of the benefits of Git as a distributed version control system history, and traceability against both accidental and how Bitbucket Data Center can help your company scale and malicious change. Distributed development its Git-powered operations smoothly. Community Distributed development gives each developer a working copy of the full repository history, Git has become the expected version control making development faster by speeding up systems in many circles, and is very popular As software development increases in complexity, and the commit process and reducing developers’ among open source projects. This means its easy development teams become more globalized, centralized interdependence, as well as their dependence to take advantage of third party libraries and on a network connection. -
INF5750/9750 - Lecture 1 (Part III) Problem Area
Revision control INF5750/9750 - Lecture 1 (Part III) Problem area ● Software projects with multiple developers need to coordinate and synchronize the source code Approaches to version control ● Work on same computer and take turns coding ○ Nah... ● Send files by e-mail or put them online ○ Lots of manual work ● Put files on a shared disk ○ Files get overwritten or deleted and work is lost, lots of direct coordination ● In short: Error prone and inefficient The preferred solution ● Use a revision control system. RCS - software that allows for multiple developers to work on the same codebase in a coordinated fashion ● History of Revision Control Systems: ○ File versioning tools, e.g. SCCS, RCS ○ Central Style - tree versioning tools. e.g. CVS ○ Central Style 2 - tree versioning tools e.g. SVN ○ Distributed style - tree versioning tools e.g. Bazaar ● Modern DVCS include Git, Mercurial, Bazaar Which system in this course? ● In this course we will be using GIT as the version control system ● We will use the UIO git system, but you can also make git accounts on github.com or bitbucket for your own projects ● DHIS2 uses a different system: Launchpad/Bazaar How it works Working tree: Local copy of the source code Repository: residing on the Central storage of developer’s the source code at computer (a client) a server synchronize synchronize Commit Commit locally Centralized De-centralized The repository Central ● Remembers every change ever written to it (called commits) ● You can have a central or local repository. ○ Central = big server in -
Darcs 2.0.0 (2.0.0 (+ 75 Patches)) Darcs
Darcs 2.0.0 (2.0.0 (+ 75 patches)) Darcs David Roundy April 23, 2008 2 Contents 1 Introduction 7 1.1 Features . 9 1.2 Switching from CVS . 11 1.3 Switching from arch . 12 2 Building darcs 15 2.1 Prerequisites . 15 2.2 Building on Mac OS X . 16 2.3 Building on Microsoft Windows . 16 2.4 Building from tarball . 16 2.5 Building darcs from the repository . 17 2.6 Building darcs with git . 18 2.7 Submitting patches to darcs . 18 3 Getting started 19 3.1 Creating your repository . 19 3.2 Making changes . 20 3.3 Making your repository visible to others . 20 3.4 Getting changes made to another repository . 21 3.5 Moving patches from one repository to another . 21 3.5.1 All pulls . 21 3.5.2 Send and apply manually . 21 3.5.3 Push . 22 3.5.4 Push —apply-as . 22 3.5.5 Sending signed patches by email . 23 3.6 Reducing disk space usage . 26 3.6.1 Linking between repositories . 26 3.6.2 Alternate formats for the pristine tree . 26 4 Configuring darcs 29 4.1 prefs . 29 4.2 Environment variables . 32 4.3 General-purpose variables . 33 4.4 Remote repositories . 34 3 4 CONTENTS 4.5 Highlighted output . 36 4.6 Character escaping and non-ASCII character encodings . 36 5 Best practices 39 5.1 Introduction . 39 5.2 Creating patches . 39 5.2.1 Changes . 40 5.2.2 Keeping or discarding changes . 40 5.2.3 Unrecording changes . -
Branching Strategies with Distributed Version Control in Agile Projects
Branching Strategies with Distributed Version Control in Agile Projects David Arve March 2, 2010 Abstract Branching strategies play an integral part in traditional software de- velopment. In Agile projects however branching is seen as the opposite to embracing change and therefor given little attention. This paper describes what branching strategies would support an agile workflow. It also describes how a distributed version control tool will fit better around these branching strategies then a centralized tool. This pa- per puts forth some original work on what branching strategies and team organization that fully takes advantage of a distributed version control tool. This paper aims to describe how a distributed version control can support agile teams with advanced branching strategies without slowing down or complicating the lightweight agile processes. 1 Introduction Software development is a process that produces a massive amount of highly complicated content. All of this content is produced by teams that range from just a few developers up to several thousands. It is obvious that this process needs to be highly coordinated. The coordination of this content is a part of Software configuration management (SCM). Traditionally this has been done by a centralized version control tool. [2] Branching strategies have not gained a lot of popularity in agile teams. [3] In recent years several new version control tools have emerged. These new tools break with the standard model of centralized version control (CVC) made popular by tools like CVS [9] and Subversion[6]. The new tools are based on a distributed model. Recent tools include Arch [5], Bazaar [8], BitKeeper [7] and Git [11].