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APPLICATION of the DELTA DEBUGGING ALGORITHM to FINE-GRAINED AUTOMATED LOCALIZATION of REGRESSION FAULTS in JAVA PROGRAMS Master’S Thesis
TALLINN UNIVERSITY OF TECHNOLOGY Faculty of Information Technology Marina Nekrassova 153070IAPM APPLICATION OF THE DELTA DEBUGGING ALGORITHM TO FINE-GRAINED AUTOMATED LOCALIZATION OF REGRESSION FAULTS IN JAVA PROGRAMS Master’s thesis Supervisor: Juhan Ernits PhD Tallinn 2018 TALLINNA TEHNIKAÜLIKOOL Infotehnoloogia teaduskond Marina Nekrassova 153070IAPM AUTOMATISEETITUD SILUMISE RAKENDAMINE VIGADE LOKALISEERIMISEKS JAVA RAKENDUSTES Magistritöö Juhendaja: Juhan Ernits PhD Tallinn 2018 Author’s declaration of originality I hereby certify that I am the sole author of this thesis. All the used materials, references to the literature and the work of others have been referred to. This thesis has not been presented for examination anywhere else. Author: Marina Nekrassova 08.01.2018 3 Abstract In software development, occasionally, in the course of software evolution, the functionality that previously worked as expected stops working. Such situation is typically denoted by the term regression. To detect regression faults as promptly as possible, many agile development teams rely nowadays on automated test suites and the practice of continuous integration (CI). Shortly after the faulty change is committed to the shared mainline, the CI build fails indicating the fact of code degradation. Once the regression fault is discovered, it needs to be localized and fixed in a timely manner. Fault localization remains mostly a manual process, but there have been attempts to automate it. One well-known technique for this purpose is delta debugging algorithm. It accepts as input a set of all changes between two program versions and a regression test that captures the fault, and outputs a minimized set containing only those changes that directly contribute to the fault (in other words, are failure-inducing). -
Confidentiality and Authenticity for Distributed Version Control
| Author's copy | Confidentiality and Authenticity for Distributed Version Control Systems — A Mercurial Extension Michael Lass Dominik Leibenger Christoph Sorge Paderborn University CISPA, Saarland University CISPA, Saarland University 33098 Paderborn, Germany 66123 Saarbrucken,¨ Germany 66123 Saarbrucken,¨ Germany [email protected] [email protected] [email protected] Abstract—Version Control Systems (VCS) are a valuable tool is a cryptography-based access control solution for SVN that for software development and document management. Both enforces access rights using end-to-end encryption. [13] client/server and distributed (Peer-to-Peer) models exist, with the Since Git [7] was released in 2005, distributed VCS have latter (e.g., Git and Mercurial) becoming increasingly popular. gained more and more popularity. Mercurial [16] and Git are Their distributed nature introduces complications, especially concerning security: it is hard to control the dissemination of the most-popular such systems today. In contrast to modern contents stored in distributed VCS as they rely on replication of centralized VCS, repositories are stored on users’ local work- complete repositories to any involved user. stations again. Collaboration among users is supported by We overcome this issue by designing and implementing a allowing users to synchronize their repositories with others. concept for cryptography-enforced access control which is trans- Revisions can be pulled from / pushed to remote repositories. parent to the user. Use of field-tested schemes (end-to-end encryp- tion, digital signatures) allows for strong security, while adoption There are no limitations concerning the resulting communica- of convergent encryption and content-defined chunking retains tion paths: Distributed VCS support centralized setups, fully storage efficiency. -
Git and Gerrit in Action and Lessons Learned Along the Path to Distributed Version Control
Git and Gerrit in Action And lessons learned along the path to distributed version control Chris Aniszczyk (Red Hat) Principal Software Engineer [email protected] http://aniszczyk.org About Me I've been using and hacking open source for ~12 years - contribute{d} to Gentoo Linux, Fedora Linux, Eclipse Hack on Eclipse, Git and other things at Red Hat Member of the Eclipse Board of Directors Member in the Eclipse Architecture Council I like to run! (2 mins short of Boston qualifying ;/) Co-author of RCP Book (www.eclipsercp.org) An Introduction to Git and Gerrit | © 2011 by Chris Aniszczyk Agenda History of Version Control (VCS) The Rise of Distributed Version Control (DVCS) Code Review with Git and Gerrit Lessons Learned at Eclipse moving to a DVCS Conclusion Q&A An Introduction to Git and Gerrit | © 2011 by Chris Aniszczyk Version Control Version Control Systems manage change “The only constant is change” (Heraclitus) An Introduction to Git and Gerrit | © 2011 by Chris Aniszczyk Why Version Control? VCS became essential to software development because: They allow teams to collaborate They manage change and allow for inspection They track ownership They track evolution of changes They allow for branching They allow for continuous integration An Introduction to Git and Gerrit | © 2011 by Chris Aniszczyk Version Control: The Ancients 1972 – Source Code Control System (SCCS) Born out of Bell Labs, based on interleaved deltas No open source implementations as far as I know 1982 – Revision Control System (RCS) Released as an alternative to SCCS -
Evolution of Version Control in Open Source Lessons Learned Along the Path to Distributed Version Control
Evolution of Version Control in Open Source Lessons learned along the path to distributed version control Chris Aniszczyk (Red Hat) Principal Software Engineer [email protected] http://aniszczyk.org About Me I've been using and hacking open source for ~12 years - contribute{d} to Gentoo Linux, Fedora Linux, Eclipse Eclipse Board of Directors, Committer Representative Member in the Eclipse {Architecture,Planning} Council I like to run! (just finished Chicago marathon in 3:20) Co-author of RCP Book (www.eclipsercp.org) Evolution of Version Control in Open Source | © 2010 by Chris Aniszczyk Agenda History of Version Control (VCS) The Rise of Distributed Version Control (DVCS) Lessons Learned at Eclipse moving to a DVCS Conclusion Q&A Picture 5 Evolution of Version Control in Open Source | © 2010 by Chris Aniszczyk Version Control Version Control Systems manage change “The only constant is change” (Heraclitus) Evolution of Version Control in Open Source | © 2010 by Chris Aniszczyk Why Version Control? VCS became essential to software development because: They allow teams to collaborate They manage change and allow for inspection They track ownership They track evolution of changes They allow for branching They allow for continuous integration Evolution of Version Control in Open Source | © 2010 by Chris Aniszczyk Version Control: The Ancients 1972 – Source Code Control System (SCCS) Born out of Bell Labs, based on interleaved deltas No open source implementations as far as I know 1982 – Revision Control System (RCS) Released as an alternative -
Embedded Software Knowledge Management System (ESWKMS) Release 0.0
Embedded Software Knowledge Management System (ESWKMS) Release 0.0 ESWKMS community September 24, 2015 Contents 1 Human Relation Patterns 3 1.1 Categorization of human relation patterns................................3 2 Build Patterns 5 2.1 Categorization of build patterns.....................................5 2.2 All build patterns in alphabetic order..................................6 3 Release Antipatterns 9 4 Requirement Patterns 11 4.1 Standardized Textual Specification Pattern............................... 11 4.2 Perform Manual Review Pattern..................................... 11 5 Design Patterns 13 5.1 Categorization of “design” patterns................................... 13 5.2 Pattern Selection Procedure....................................... 19 5.3 Legend to the design pattern sections.................................. 19 5.4 All design patterns in alphabetic order.................................. 19 6 Idioms in C 27 6.1 Classification of idioms......................................... 27 6.2 Add the name space........................................... 27 6.3 Constants to the left........................................... 27 6.4 Magic numbers as variables....................................... 28 6.5 Namend parameters........................................... 28 6.6 Sizeof to variables............................................ 28 7 Bibliography 29 8 “It is all about structure and vision.” 31 9 Indices and tables 33 i ii Embedded Software Knowledge Management System (ESWKMS), Release 0.0 Contents: Contents 1 Embedded -
Software Configuration Management
Front cover Software Configuration Management A Clear Case for IBM Rational ClearCase and ClearQuest UCM Implementing ClearCase Implementing ClearQuest for UCM ClearCase and ClearQuest MultiSite Ueli Wahli Jennie Brown Matti Teinonen Leif Trulsson ibm.com/redbooks International Technical Support Organization Software Configuration Management A Clear Case for IBM Rational ClearCase and ClearQuest UCM December 2004 SG24-6399-00 Note: Before using this information and the product it supports, read the information in “Notices” on page xvii. First Edition (December 2004) This edition applies to IBM Rational ClearCase and MultiSite Version 2003.06.00 and IBM Rational ClearQuest and MultiSite Version 2003.06.00. Some information about Version 06.13 is included. © Copyright International Business Machines Corporation 2004. All rights reserved. Note to U.S. Government Users Restricted Rights -- Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. Contents Notices . xvii Trademarks . xviii Preface . xix The team that wrote this redbook. xxi Become a published author . xxiii Comments welcome. xxiii Part 1. Introduction to SCM . 1 Chapter 1. The quest for software lifecycle management . 3 Stories from the wild. 4 Software asset management . 5 Better software configuration management means better business . 6 Seven keys to improving business value . 7 Safety . 7 Stability . 8 Control. 8 Auditability. 9 Reproducibility. 10 Traceability . 11 Scalability . 12 Good SCM is good business . 13 Chapter 2. Choosing the right SCM strategy . 15 The questions. 16 A version control strategy. 17 Delta versioning . 17 A configuration control strategy . 19 A process management strategy . 21 A problem tracking strategy . 23 Chapter 3. Why ClearCase and ClearQuest . -
Soc Concurrent Development Page 1 of 7
SoC drawer: SoC concurrent development Page 1 of 7 SoC drawer: SoC concurrent development Establish a disciplined process for hardware and software co -design, integration, and test Sam Siewert ( [email protected] ), Adjunct Professor, University of Colorado Summary: A system-on-a-chip (SoC) can be more complex in terms of hardware-software interfacing than many earlier embedded systems because an SoC often includes multiple processor cores and numerous I/ O interfaces. The process of integrating and testing the firmware-hardware interface can begin early, but without good management and testing, the mutability of firmware and early stages of hardware design simulation can lead to disastrous setbacks for a project. This article teaches system designers about tools and methods to minimize project churn. View more content in this series Date: 20 Dec 2005 Level: Intermediate Activity: 687 views Comments: 0 ( Add comments ) Average rating (based on 17 votes) This article is the third in the SoC drawer series . The series aims to provide the system architect with a starting point and some tips to make system-on-a-chip (SoC) design easier. SoCs are either configurable or reconfigurable. Configurable SoCs are constructed from core logic that can be reused and modified for an application-specific integrated circuit (ASIC) implementation; reconfigurable SoCs use soft cores and field-programmable gate array (FPGA) fabrics that can be reprogrammed by simply downloading new in-circuit FPGA programming. The mutability of SoCs in terms of firmware and FPGA fabric is attractive because it allows for modification and addition of features. Likewise, for configurable SoCs, the mutability during early co-design and co-simulation allows for quick design changes in both hardware and firmware, making for a very agile project. -
Version Models for Software Configuration Management
Version Models for Software Configuration Management REIDAR CONRADI Norwegian University of Science and Technology, Trondheim AND BERNHARD WESTFECHTEL Aachen University of Technology After more than 20 years of research and practice in software configuration management (SCM), constructing consistent configurations of versioned software products still remains a challenge. This article focuses on the version models underlying both commercial systems and research prototypes. It provides an overview and classification of different versioning paradigms and defines and relates fundamental concepts such as revisions, variants, configurations, and changes. In particular, we focus on intensional versioning, that is, construction of versions based on configuration rules. Finally, we provide an overview of systems that have had significant impact on the development of the SCM discipline and classify them according to a detailed taxonomy. Categories and Subject Descriptors: D.2.2 [Software Engineering]: Tools and Techniques—computer-aided software engineering; D.2.6 [Software Engineering]: Programming Environments; D.2.9 [Software Engineering]: Management—software configuration management; H.2.3 [Database Management]: Languages—database (persistent) programming languages; H.2.8 [Database Management]: Database Applications; I.2.3 [Artificial Intelligence]: Deduction and Theorem Proving—deduction, logic programming General Terms: Languages, Management Additional Key Words and Phrases: Changes, configuration rules, configurations, revisions, variants, versions 1. INTRODUCTION Maturity Model (CMM) developed by Software configuration management the Software Engineering Institute (SCM) is the discipline of managing the (SEI) [Humphrey 1989; Paulk et al. evolution of large and complex software 1997]. CMM defines levels of maturity systems [Tichy 1988]. The importance of in order to assess software development SCM has been widely recognized, as processes in organizations. -
RCS—A System for Version Control
- RCSÐA System for Version Control Walter F. Tichy Department of Computer Sciences Purdue University West Lafayette, Indiana 47907 ABSTRACT An important problem in program development and maintenance is version con- trol, i.e., the task of keeping a software system consisting of many versions and con®gurations well organized. The Revision Control System (RCS) is a software tool that assists with that task. RCS manages revisions of text documents, in particular source programs, documentation, and test data. It automates the storing, retrieval, log- ging and identi®cation of revisions, and it provides selection mechanisms for composing con®gurations. This paper introduces basic version control concepts and discusses the practice of version control using RCS. For conserving space, RCS stores deltas, i.e., differences between successive revisions. Several delta storage methods are discussed. Usage statistics show that RCS's delta storage method is space and time ef®cient. The paper concludes with a detailed survey of version control tools. Keywords: con®guration management, history management, version control, revisions, deltas. 1991/01/03 - RCSÐA System for Version Control Walter F. Tichy Department of Computer Sciences Purdue University West Lafayette, Indiana 47907 1. Introduction Version control is the task of keeping software systems consisting of many versions and con®gurations well organized. The Revision Control System (RCS) is a set of UNIX commands that assist with that task. RCS' primary function is to manage revision groups. A revision group is a set of text documents, called revisions, that evolved from each other. A new revision is created by manually editing an existing one. -
An Application of Configuration Management on Graphical Models
MBVC – Model Based Version Control: An Application of Configuration Management on Graphical Models MEHIAR MOUKBEL Master of Science Thesis Stockholm, Sweden 2007 i MBVC – Model Based Version Control: An Application of Configuration Management on Graphical Models By: Mehiar Moukbel A A B Merge Engine B Master of Science Thesis MMK 2007:38 MDA261 KTH Machine Design SE-10044STOCKHOLM ii Master of Science Thesis MMK 2007:38 MDA261 MBVC – Model Based Version Control: An Application of Configuration Management on Graphical Models Mehiar Moukbel Approved Examiner Supervisor 2007-03-20 Martin Törngren Jianlin Shi Jad El-Khoury Commissioner Contact person KTH, Machine Design Abstract File-based version control consists of tools in the software engineering industry, with many available commercial products that allow multiple developers to work simultaneously on a single project. However these tools are most commonly used on plain textual documents such as source code. There exist few tools today for versioning fine-grained data such as graphical Simulink models. Since Simulink is widely used as a modeling tool in numerous engineering fields, nonetheless in the mechatronics field, it will be interesting to study the possibility of developing a tool for version control of graphical models. Two textual software configuration management (SCM) products, CVS and Rational Clear Case, were studied and their functionalities were analyzed, along with a different number of research topics on document versioning. The existing algorithms of ‘diff’ and ‘merge’ functions were also studied to give an understanding of how these functions work for text based documents. The knowledge gained from the tools, existing algorithms and literature on the subject were used to write MATLAB programs that perform diff and merge on Simulink models. -
Distributed Version Control with Git and Mercurial
A.CHRISTOPHERTOREK DISTRIBUTEDVERSION CONTROLWITHGITAND MERCURIAL 2 copyright stuff Dedication NB: this front matter is still quite a hodgepodge; these are just various thoughts. [Find out if I can use a copy of xkcd #1597] Git is notoriously difficult for beginners. In xkcd comic #1597, Randall Munroe, referring to Git, draws a character (called “Cueball” on the explainxkcd site) who says: Just memorize these shell commands and type them to sync up. If you get errors, save your work elsewhere, delete the project, and download a fresh copy. [Maybe turn the above into an epigraph?] Everyone makes mistakes. The difference between being a novice and being an expert cannot be boiled down to just one sentence, but we can say that one—maybe the most important—difference is that an expert can recover from mistakes mid-process. This book should help you do so. Git makes it easy to make mistakes, and also easy to correct them. Mercurial makes it harder to make mistakes, but also harder to cor- rect them. There are already several good Git books, Chacon and Straub [2014] and Loeliger[ 2009]. The primary author of Mercurial has published a Mercurial book, O’Sullivan[ 2009]. So why write another book? Loeliger’s book is good but has become out of date—a constant hazard with actively-developed software. Chacon’s book is on line and gets updated, but focuses strictly on Git. O’Sullivan’s book fo- cuses strictly on Mercurial. I’m not currently aware of any books that approach version control in this particular manner, and show both Git and Mercurial usage. -
Abschlussarbeit
Abschlussarbeit André Behrens Testen von Legacy Code in Open Source Projekten Fakultät Technik und Informatik Faculty of Engineering and Computer Science Department Informatik Department of Computer Science André Behrens Testen von Legacy Code in Open Source Projekten Bachelorarbeit eingereicht im Rahmen der Bachelorprüfung im Studiengang Angewandte Informatik am Department Informatik der Fakultät Technik und Informatik der Hochschule für Angewandte Wissenschaften Hamburg Betreuende Prüferin: Frau Prof. Dr. Bettina Buth Zweitgutachterin: Frau Prof. Dr. Ulrike Steffens Abgegeben am 19.02.2016 André Behrens Thema der Arbeit Testen von Legacy Code in Open Source Projekten Stichworte Softwaretest, Legacy Code, Open Source Projekte, ews-java-api, Microsoft Exchange Server, Java Kurzzusammenfassung Thema dieser Arbeit ist es Teststrategien im Zusammenhang von Open Source Projekten und Legacy Code aufzuzeigen. Hier werden zunächst Grundlagen des Softwaretests mit Teststrategien in großen Unternehmen verglichen und deren Anwendbarkeit anhand von Analysen und Beispielen auf ein Projekt angewandt, welches große Bestandteile von Legacy Code aufweist. André Behrens Title of the paper Testing Legacy Code in Open Source Projects Keywords Softwaretest, Legacy Code, Open Source Projects, ews-java-api, Microsoft Exchange Server, Java Abstract This thesis is about test strategies in big firms as well as them to be used in open source projects and will give some introduction on software testing basics in comparison with their applicability with strategies