Django Works in the “Real World,” We Spoke with (Well, Emailed) a Handful of People Who Have Complete, Deployed Django Sites Under Their Belts
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How Bad Can It Git? Characterizing Secret Leakage in Public Github Repositories
How Bad Can It Git? Characterizing Secret Leakage in Public GitHub Repositories Michael Meli Matthew R. McNiece Bradley Reaves North Carolina State University North Carolina State University North Carolina State University [email protected] Cisco Systems, Inc. [email protected] [email protected] Abstract—GitHub and similar platforms have made public leaked in this way have been exploited before [4], [8], [21], [25], collaborative development of software commonplace. However, a [41], [46]. While this problem is known, it remains unknown to problem arises when this public code must manage authentication what extent secrets are leaked and how attackers can efficiently secrets, such as API keys or cryptographic secrets. These secrets and effectively extract these secrets. must be kept private for security, yet common development practices like adding these secrets to code make accidental leakage In this paper, we present the first comprehensive, longi- frequent. In this paper, we present the first large-scale and tudinal analysis of secret leakage on GitHub. We build and longitudinal analysis of secret leakage on GitHub. We examine evaluate two different approaches for mining secrets: one is able billions of files collected using two complementary approaches: a to discover 99% of newly committed files containing secrets in nearly six-month scan of real-time public GitHub commits and a public snapshot covering 13% of open-source repositories. We real time, while the other leverages a large snapshot covering focus on private key files and 11 high-impact platforms with 13% of all public repositories, some dating to GitHub’s creation. distinctive API key formats. This focus allows us to develop We examine millions of repositories and billions of files to conservative detection techniques that we manually and automat- recover hundreds of thousands of secrets targeting 11 different ically evaluate to ensure accurate results. -
Github Pull Request Review
Github Pull Request Review Archaic and delegable Pierre prenotifying her longboat reactivating while Hartley reflow some intercross fadelessly. Narratable and thickhydropathic when Pincus Francois emerged reintegrate his timing. her bedchambers filigree or deactivate tamely. Unlearned and chiromantic Bearnard never outmeasuring There is merged soon, optimize this can request review status becomes quite clear based on their code management repositories that we would react to uninstall the pros and By dzone contributors, required for projects have fixed by everyone who can. In this palace, the toolbar will show why green Checks donut, a grey Changes revision, and grey zero counters in the remaining boxes. For this page with each other process, critical security expert from empirical and. Do at production data obtained from visual studio code review so that you if you want you selected, you a pull request that bad practice. Github will see? In github pull request review your first was this. Program readability: procedures versus comments. If any change on changes in progress and effective code coverage changes in that all pull request? Stripe is not have made for other reviewers are. Haacked is a blog about Technology, Software, Management, and fast Source. Even if there is in github or bandwidth costs go read way you can be detected by submitting are changes into new posts in github pull request review time for agility, requiring signed out. Rbac rules and code and more hunting down a nice aspect of incoming pr will update it more merge methods to! Review apps will spend some changes might require a pull reminders for. -
Cherrypy Documentation Release 3.3.0
CherryPy Documentation Release 3.3.0 CherryPy Team August 05, 2016 Contents 1 What is CherryPy? 1 2 What CherryPy is NOT? 3 3 Contents 5 3.1 Why choose CherryPy?.........................................5 3.2 Installation................................................6 3.3 CherryPy License (BSD).........................................8 4 Tutorial 9 4.1 What is this tutorial about?........................................9 4.2 Start the Tutorial.............................................9 5 Programmer’s Guide 35 5.1 Features.................................................. 35 5.2 HTTP details............................................... 66 6 Deployment Guide 79 6.1 Applications............................................... 79 6.2 Servers.................................................. 79 6.3 Environment............................................... 87 7 Reference Manual 91 7.1 cherrypy._cpchecker ....................................... 91 7.2 cherrypy._cpconfig ........................................ 92 7.3 cherrypy._cpdispatch – Mapping URI’s to handlers...................... 94 7.4 cherrypy._cprequest ....................................... 96 7.5 cherrypy._cpserver ........................................ 101 7.6 cherrypy._cptools ........................................ 103 7.7 cherrypy._cptree ......................................... 105 7.8 cherrypy._cpwsgi ......................................... 107 7.9 cherrypy ................................................ 108 7.10 cherrypy.lib............................................... -
Veni, Vidi, Vici
Code Review: Veni, ViDI, Vici Yuriy Tymchuk, Andrea Mocci, Michele Lanza REVEAL @ Faculty of Informatics - University of Lugano, Switzerland Abstract—Modern software development sees code review as For example many of them leverage static code analysis a crucial part of the process, because not only does it facilitate techniques, like the ones provided by FindBugs [5], to spot the sharing of knowledge about the system at hand, but it may implementation problems. However, the results from such also lead to the early detection of defects, ultimately improving techniques are poorly integrated in a code review process, as the quality of the produced software. Although supported by we will see later. numerous approaches and tools, code review is still in its infancy, and indeed researchers have pointed out a number of We propose an approach to augment code review by inte- shortcomings in the state of the art. grating software quality evaluation, and more general design We present a critical analysis of the state of the art of code assessment, not only as a first class citizen, but as the core review tools and techniques, extracting a set of desired features concern of code review. Our approach, called Visual Design that code review tools should possess. We then present our vision Inspection (ViDI), uses visualization techniques to drive the and initial implementation of a novel code review approach quality assessment of the reviewed system, exploiting data named Visual Design Inspection (ViDI), illustrated through a set obtained through static code analysis. ViDI enables intuitive of usage scenarios. ViDI is based on a combination of visualization and easy defect fixing, personalized annotations, and review techniques, design heuristics, and static code analysis techniques. -
How to Trust Auto-Generated Code Patches? a Developer Survey And
How to trust auto-generated code patches? A developer survey and empirical assessment of existing program repair tools Yannic Noller∗ Ridwan Shariffdeen∗ National University of Singapore National University of Singapore Singapore Singapore [email protected] [email protected] Xiang Gao Abhik Roychoudhury National University of Singapore National University of Singapore Singapore Singapore [email protected] [email protected] ABSTRACT works on generating multi-line fixes [12, 29], or on transplanting Automated program repair is an emerging technology that seeks patches from one version to another [37] — to cover various use to automatically rectify bugs and vulnerabilities using learning, cases or scenarios of program repair. search, and semantic analysis. Trust in automatically generated Surprisingly, there is very little literature or systematic study patches is necessary for achieving greater adoption of program from either academia or industry — on the developer trust in pro- repair. Towards this goal, we survey more than 100 software practi- gram repair. In particular, what changes do we need to bring into tioners to understand the artifacts and setups needed to enhance the program repair process so that it becomes viable to have conver- trust in automatically generated patches. Based on the feedback sations on its wide-scale adoption? Part of the gulf in terms of lack from the survey on developer preferences, we quantitatively evalu- of trust comes from a lack of specifications — since the intended ate existing test-suite based program repair tools. We find that they behavior of the program is not formally documented, it is hard to cannot produce high-quality patches within a top-10 ranking and trust that the automatically generated patches meet this intended an acceptable time period of 1 hour. -
Pipenightdreams Osgcal-Doc Mumudvb Mpg123-Alsa Tbb
pipenightdreams osgcal-doc mumudvb mpg123-alsa tbb-examples libgammu4-dbg gcc-4.1-doc snort-rules-default davical cutmp3 libevolution5.0-cil aspell-am python-gobject-doc openoffice.org-l10n-mn libc6-xen xserver-xorg trophy-data t38modem pioneers-console libnb-platform10-java libgtkglext1-ruby libboost-wave1.39-dev drgenius bfbtester libchromexvmcpro1 isdnutils-xtools ubuntuone-client openoffice.org2-math openoffice.org-l10n-lt lsb-cxx-ia32 kdeartwork-emoticons-kde4 wmpuzzle trafshow python-plplot lx-gdb link-monitor-applet libscm-dev liblog-agent-logger-perl libccrtp-doc libclass-throwable-perl kde-i18n-csb jack-jconv hamradio-menus coinor-libvol-doc msx-emulator bitbake nabi language-pack-gnome-zh libpaperg popularity-contest xracer-tools xfont-nexus opendrim-lmp-baseserver libvorbisfile-ruby liblinebreak-doc libgfcui-2.0-0c2a-dbg libblacs-mpi-dev dict-freedict-spa-eng blender-ogrexml aspell-da x11-apps openoffice.org-l10n-lv openoffice.org-l10n-nl pnmtopng libodbcinstq1 libhsqldb-java-doc libmono-addins-gui0.2-cil sg3-utils linux-backports-modules-alsa-2.6.31-19-generic yorick-yeti-gsl python-pymssql plasma-widget-cpuload mcpp gpsim-lcd cl-csv libhtml-clean-perl asterisk-dbg apt-dater-dbg libgnome-mag1-dev language-pack-gnome-yo python-crypto svn-autoreleasedeb sugar-terminal-activity mii-diag maria-doc libplexus-component-api-java-doc libhugs-hgl-bundled libchipcard-libgwenhywfar47-plugins libghc6-random-dev freefem3d ezmlm cakephp-scripts aspell-ar ara-byte not+sparc openoffice.org-l10n-nn linux-backports-modules-karmic-generic-pae -
Code Review Quality
Code Review Quality Defining a good code review Overview Introduction: A modern code review process The importance of reviews for QA Strength and weaknesses Tools to make (better) reviews VCS: Git - Keeping track of changes. Gerrit: State of the art for git VCS. Continuous inspection: SonarQube How to define „good“? Factors to assess review quality Case study: How Developers see it Improve Review Quality Current research Defining a good code review 2 What is a modern code review process INTRODUCTION Defining a good code review 3 Introduction A modern review process Defining a good code review 4 Introduction The review value - strengths Coding standards compliance . Code review helps to maintain consistent coding style across the company . Reviews find high level breaches of design rules and consistency issues. Finding subtile bugs and defects early . A person is able to find logical flaws and approach problems, that might be very hard to find with tests. when they are cheap to fix. (Before submitting) Teaching and sharing knowledge . During review team members gain better understanding of the code base and learn from each other Strengthens team cohesion . Review discussions save team members from isolation and bring them closer to each other. Defining a good code review 5 Introduction The review value - weaknesses Highly depends on reviewer's experience and code familiarity . Study showed that the ‘worst’ reviewer can be ten times less effective than the best reviewer. The defect coverage is hard to asses . They might find a lot of different sorts of issues while overlook some potentially serious ones. Has a frustration and conflict potential . -
Writing Great Documentation
Writing Great Documentation Jacob Kaplan-Moss [email protected] Photo by Alexandru Ilie2012 - http://flic.kr/p/pMp415 Co-BDFL Director of Security My premise: great documentation drives adoption. Python web: 2004 Albatross Nevow Spark Aquarium PSE Spyce Cheetah PSP Twisted CherryPy Pyroxide Wasp Cymbeline Quixote Webware Enamel SkunkWeb Zope Python web: 2014 Albatross Nevow Spark Aquarium PSE Spyce Cheetah PSP Twisted CherryPy Pyroxide Wasp Cymbeline Quixote Webware Enamel SkunkWeb Zope 81 121,000 lines of English In Search of Lost Time 1,500,000 Django 566,000 Infinite Jest 484,000 New Testament 180,000 Your first manuscript 60,000 “The documentation and community are second to none.” “[W]e’ve found that people …can get up-to-speed relatively quickly thanks to the excellent documentation…” “Django … provides an excellent developer experience, with great documentation and tutorials…” “Our initial choice … was based on the strength of the Django community and documentation…” “Productive development, good documentation, flexibility, and it just works.” “Wow, if the documentation is this good, the product must be awesome!” Why do people read documentation? Why do people read documentation? Who should write documentation? Why do people read documentation? Who should write documentation? What should we document? Why do people read documentation? Who should write documentation? What should we document? First contact - new users. First contact - new users. Education - new & existing users. First contact - new users. Education - new & existing users. Support - experienced users. First contact - new users. Education - new & existing users. Support - experienced users. Troubleshooting - annoyed users. First contact - new users. Education - new & existing users. Support - experienced users. -
E.2 Instalación Del Sistema De Monitoreo Web De Signos Vitales 168 E.2.1 Instalación De Noisette 168
INSTITUTO POLITÉCNICO NACIONAL UNIDAD PROFESIONAL INTERDISCIPLINARIA EN INGENIERÍA Y TECNOLOGÍAS AVANZADAS UPIITA Trabajo Terminal Desarrollo de un Sistema de Monitoreo Web de Signos Vitales Que para obtener el título de “Ingeniero en Telemática” Presenta Mario Alberto García Torrea Asesores Ing. Francisco Antonio Polanco Montelongo M. en C. Noé Sierra Romero Dr. en F. Fernando Martínez Piñón México D. F. a 29 de mayo del 2008 INSTITUTO POLITÉCNICO NACIONAL UNIDAD PROFESIONAL INTERDISCIPLINARIA EN INGENIERÍA Y TECNOLOGÍAS AVANZADAS UPIITA Trabajo Terminal Desarrollo de un Sistema de Monitoreo Web de Signos Vitales Que para obtener el título de “Ingeniero en Telemática” Presenta Mario Alberto García Torrea Asesores Ing. Francisco Antonio M. en C. Noé Sierra Dr. en F. Fernando Polanco Montelongo Romero Martínez Piñón Presidente del Jurado Profesor Titular M. en C. Miguel Félix Mata M. en C. Susana Araceli Sánchez Rivera Nájera Agradecimientos A mi familia Por enseñarme a creer y ayudarme a crecer; porque siempre han estado ahí cuando los he necesitado; por enseñarme que las mejores cosas de la vida no son más que aquellas que hacemos con el corazón, en las que podemos soñar y alcanzar, y por las que debemos de luchar. Gracias papá por tu sabiduría y por todos los consejos que me has brindado. Gracias mamá por procurarnos sencillez y por enseñarnos a amar. Gracias hermano porque – aunque siempre buscas la forma de molestarme – estás ahí creyendo en mí. A mis amigos Porque han creido en mí y me han apoyado con su compañía, su alegría y consejos. Gracias por ayudarme a crecer y a creer que todo es posible si realmente queremos que así lo sea; y sobre todo si creemos en nosotros mismos. -
Bitbucket Require Pull Request Reviews Before Merging
Bitbucket Require Pull Request Reviews Before Merging Hercule often warehouses misguidedly when childbearing Hunter spin inexactly and alkalinise her sprays. Reinhold is guerilla and spin-drying swiftly as enow Claire imbibing inconvertibly and pictured vanward. Handwrought and bonzer Merrick delays her casemates underlapping while Reilly opaquing some cozener ever. Like overall purpose, especially if the status will use travis ci server running the lingo and require reviews are familiar Okay, so we want to do various reviews of the changes. Bloomberg and jira projects, and the code extension is used as a look at least allow the main address. Connect multiple Jira instances and any other trackers at the flip of a switch. The Bitbucket Deployments extension allows you to deploy rules, rule configs, hooks, connections, database connection scripts, clients, client grants, resource servers, Universal Login pages. If there are problems with my fix, they will be noticed quickly. This message is twice removed from the actual source code, and will only persist as long as you keep using the same host. Apply the easiest way of new pull request view pull requests grouped by your data. Now i want to pull every time using python by different user, for that they need to enter every time username and password. It is most efficient to comment on the line of code in question with the SQL queries so they can give their advice. Better Commit Policy for Bitbucket integrates the Better Commit Policy for Jira app to Bitbucket repositories with a fully native experience. Good ui action items that describe the essential part of projects may be quite frequently done your side tools integrate it attractive to merging pull request bitbucket reviews before. -
Software Build and Release Management for a Wireless Product with Open Source Tools
Jukka Kokko SOFTWARE BUILD AND RELEASE MANAGEMENT FOR A WIRELESS PRODUCT WITH OPEN SOURCE TOOLS SOFTWARE BUILD AND RELEASE MANAGEMENT FOR A WIRELESS PRODUCT WITH OPEN SOURCE TOOLS Jukka Kokko Master’s thesis Autumn 2013 Degree Programme in Information Technology Oulu University of Applied Sciences ABSTRACT Oulu University of Applied Sciences Degree Programme in Information Technology Author: Jukka Kokko Title of thesis: Software Build and Release Management for a Wireless Product with Open Source Tools Supervisor: Markku Rahikainen Term and year when the thesis was submitted: Autumn 2013 Number of pages: 43 The object of this research was to test and select the best open source tools and processes for a project working with a complex wireless device, from a build and release management point of view. Some of the investigations were started on 2005; most of the work has been done during the year 2013 for Elektrobit Wireless Oy. The work consisted of studying and testing out multiple different open source tools used on build and release management process. The studied tools were Git, SVN and Mercurial as software configuration management systems, Bitbake, Yocto, Apache ANT and Apache Maven as build frameworks, Gerrit and Review Board as code review systems and CruiseControl and Jenkins as build automation systems. Also hardware selection, test automation, error and feature management related tools, delivery methods and effects of the project’s development model were considered. The result was a bit mixed as the best combination of tools depends on the project, but for example a project that uses agile methods and does software for a wireless embedded Linux device should use Git as a software configuration management system, Yocto as a build framework, Gerrit as a code review system and Jenkins as a build automation system. -
Reviewboard Image Guide Reviewboard Stack Components
ReviewBoard Image Guide Version 2.5.15 Websoft9 ReviewBoard is a pre-configured, ready to run image for running ReviewBoard on Alibaba Cloud. Review Board is an open source, web-based code and document review tool built to help companies, open source projects, and other organizations keep their quality high and their bug count low.Today, it’s a vital part of the development process at thousands of projects and companies, ranging from small startups of two people to enterprises of thousands.Review Board tracks changes to your pending code, graphics, documents, and all discussions around all the decisions made about your product. It shows you exactly how your code was changed, with syntax highlighting, interdiffs, moved line detection, indentation change indicators, and more.You can integrate with Review Board using its rich API and extension frameworks, allowing custom features, review UIs, data analysis, and more to be built without ever having to fork Review Board.There’s support for Bazaar, ClearCase, CVS, Git, Mercurial, Perforce, Plastic, and Team Foundation Server, hosted on your own server or on Assembla, Beanstalk, Bitbucket, Codebase, GitHub, GitLab, Gitorious, Kiln, or Unfuddle. ReviewBoard Stack Components Application Software(ReviewBoard2.5.15) ReviewBoard application directory: /data/wwwroot/reviewboard ReviewBoard configuration file: /data/wwwroot/reviewboard/conf/settings_local.py Application Server(Python 2.7.12,Django 1.6.11,apache2.4,memcached 1.4.25) Apache2 ReviewBoard Configuration: /etc/apache2/sites- available/reviewboard.conf