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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 ................................................................................................... -
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). -
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 ........................................................................................................... -
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. -
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. -
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. -
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. -
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, -
Software Development Process Improvements - Case QPR Software Plc
Software development process improvements - Case QPR Software Plc Lidia Zalevskaya Master’s Thesis Degree Programme in Information Systems Management 2019 Abstract Date: 2019.11.24 Author(s) Lidia Zalevskaya Degree programme Information Systems Management, Master’s Degree Thesis title Number of pages and appendix pages Software development process improvements - 98 + 26 Case QPR Software Plc Initially this study was planned as an effort to improve on a software development process within an existing team using an existing product code and systems. However, the situation changed and a new team (DevApps team) was established and given a new project, which created an opportunity to build a new type of team, product, process, and tools pipeline from scratch utilizing the improvement ideas. An Action Research framework was adopted as the theoretical approach for the study, while the Scrum methodology served as a framework for the development practices. The study began by summarizing previously identified problems in the software development process at QPR Software Plc and formulating improvement ideas focused on the coding workflow and Scrum practices. These were then tested in practice by the new DevApps scrum team. The research analysis centres on the process of choosing and setting up the new team’s development tools, figuring out ways of working, and implementing several iterations to find the best suitable development process. The most valuable empirical outcomes were the creation of a branching strategy and Git workflow for the DevApps team, the team members’ practical experience of working with Git and with the Azure DevOps developer services. A key outcome was the shift in many verification activities to earlier phases. -
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. -
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 -
Ansys SCADE Lifecycle®
EMBEDDED SOFTWARE Ansys SCADE LifeCycle® SCADE LifeCycle is part of the Ansys Embedded Software family of products and solutions that includes modules providing unique support for application lifecycle management. This product line features requirements traceability via Application Lifecycle Management (ALM) tools, traceability from models, configuration and change management, and automatic documentation generation. SCADE LifeCycle enhances the functionalities of Ansys SCADE® tools with add-on modules that bridge SCADE solutions and Requirement Management tools or PLM/ALM (Product Lifecycle Management/ Application Lifecycle Management) tools. With SCADE LifeCycle, all systems and software teams involved in critical applications development can manage and control their design and verification activities across the full life cycle of their SCADE applications. / Requirements Traceability SCADE LifeCycle Application Lifecycle Management (ALM) Gateway provides an integrated traceability analysis solution for safety-critical design processes with SCADE Architect, SCADE Suite, SCADE Display, SCADE Solutions for ARINC 661 and SCADE Test: • Connection to ALM tools: linkage to DOORS NG, DOORS (9.6 and up) Jama Connect, Siemens Polarion, Dassault Systèmes Reqtify 2016. • Graphical creation of traceability links between requirements or other structured documents and SCADE models. • Traceability of test cases from SCADE Test Environment projects. • Bidirectional navigation across requirements and tests. • Customizable Export of SCADE artifacts to DOORS or Jama Connect. • Compliant with DO-178B, DO-178C, EN 50128, IEC 61508, ISO 26262, and IEC 60880 standards. EMBEDDED SOFTWARE / SCADE LifeCycle® // 1 / Project Documentation Generation SCADE LifeCycle Reporter automates the time-consuming creation of detailed and complete reports from SCADE Suite, SCADE Display, SCADE Architect and SCADE UA Page Creator for ARINC 661 designs through: • Generation of reports in RTF or HTML formats.