Code Review Quality
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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. -
The Cons of Git and Mercurial Taking Control of Your CV Automated End-To-End Testing
Issue June 2015 | presented by www.jaxenter.com #45 The digital magazine for enterprise developers Trust in Rust 1.0 The cons of Git and Mercurial Slowing down peer reviews Taking control of your CV Where to get the best programming experiences Automated End-to-End Testing ... and way more tips and tutorials ©iStockphoto.com/highhorse Editorial Get more experience What makes a good programmer? Every developer will on a tour of the new release of Rust 1.0, still fresh off the give you a different answer. But assuming you already have a shelves. In the testing section, Claire Fautsch and Daniel Wit- combination of talent, education and fortunate social circum- kowski are walking us through automated end-to-end test- stances, what else is it that will guarantee you a bright career ing and handy open-source testing tools. From the Big Data in IT? Is there some combination of special ingredients needed world, we have Pierre Fricke showing us the new Foreign Data for a CV to impress employers? If you ask Shutterstock’s Di- Wrappers in Postgres. If you’re interested in FinTech, Lars rector of Engineering, the one thing that really counts is real Markull is predicting big things for Banking Service Providers. life development experience. “To gain real world skills, de- Meanwhile, we’re also taking at look at how to avoid hiccups velopers have to create and take control of their own curricu- when moving to a new version of Oracle SOA or a distributed lum,” writes Sandeep Chouksey in this latest issue, explaining version control system like Git or Mercurial. -
Conteneurs Et Outils De Production De Code
Conteneurs et outils de production de code https://etherpad.in2p3.fr/p/JDEV2015.T6.GT02 Johan Moreau IRCAD/IHU 2 juillet 2015 Johan Moreau (IRCAD/IHU) Conteneurs et outils de production de code 2 juillet 2015 1 / 11 Entre 1000 et 1 million de LOC Les petits : Annuaire de laboratoire en microservices, Conteneur de backup, Outil de gestion de m´edicaments pour animaux, ... Les gros : Logiciel de traitement d'image pour la mod´elisation anatomique Logiciel de suivi intra-op´eratoire de r´ealit´eaugment´ee, ... Probl´ematiques diff´erentes (performance, distribution, ...) et des choix diff´erents Johan Moreau (IRCAD/IHU) Conteneurs et outils de production de code 2 juillet 2015 2 / 11 Gestion de version VCS : CVS, Subversion, ... DVCS : Mercurial, Git, Bazaar, ... Forge/frontal pour les acc`es: GitHub, Bitbucket, GitLab, Kallithea, ... Redmine, Trac, Bugzilla, ... Quelle organisation de d´ep^otsen fonction de l'outil ? Quelle communication entre les d´ep^ots? Comment faire de la revue de code par rapport au VCS ? Johan Moreau (IRCAD/IHU) Conteneurs et outils de production de code 2 juillet 2015 3 / 11 Construction du job Build : CMake, Ant, Maven, NAnt, SCons, Gradle, Gulp, Grunt ... Compl´ementaire : DOxygen, Javadoc, Sphinx, ... XUnit, Checkstyle, Sonar, FindBugs, CppCheck, JDepend, Selenium, ... A quel point les rapports sont-ils utilis´es? Johan Moreau (IRCAD/IHU) Conteneurs et outils de production de code 2 juillet 2015 4 / 11 Int´egration continue Outils : Cruisecontrol, Jenkins, Buildbot, GitLab CI, ... Travis-ci, Heroku, Codeship, CircleCI, Drone.io, ... Combien de jobs par "target"? Quelle liaison avec la forge ou l'outil de tickets ? Comment lier cela `ala revue de code et `ala m´ethodologie ? Johan Moreau (IRCAD/IHU) Conteneurs et outils de production de code 2 juillet 2015 5 / 11 Conteneurs/VM - x86 Emulateurs, VM : QEMU, VMWare, HyperV, Xen, KVM, .. -
Awesome Selfhosted - Software Development - Project Management
Awesome Selfhosted - Software Development - Project Management Software Development - Project Management See also: awesome-sysadmin/Code Review Bonobo Git Server - Set up your own self hosted git server on IIS for Windows. Manage users and have full control over your repositories with a nice user friendly graphical interface. ( Source Code) MIT C# Fossil - Distributed version control system featuring wiki and bug tracker. BSD-2-Clause- FreeBSD C Goodwork - Self hosted project management and collaboration tool powered by Laravel & VueJS. (Demo, Source Code) MIT PHP Gitblit - Pure Java stack for managing, viewing, and serving Git repositories. (Source Code) Apache-2.0 Java gitbucket - Easily installable GitHub clone powered by Scala. (Source Code) Apache-2.0 Scala/Java Gitea - Community managed fork of Gogs, lightweight code hosting solution. (Demo, Source Code) MIT Go GitLab - Self Hosted Git repository management, code reviews, issue tracking, activity feeds and wikis. (Demo, Source Code) MIT Ruby Gitlist - Web-based git repository browser - GitList allows you to browse repositories using your favorite browser, viewing files under different revisions, commit history and diffs. ( Source Code) BSD-3-Clause PHP Gitolite - Gitolite allows you to setup git hosting on a central server, with fine-grained access control and many more powerful features. (Source Code) GPL-2.0 Perl GitPrep - Portable Github clone. (Demo, Source Code) Artistic-2.0 Perl Git WebUI - Standalone web based user interface for git repositories. Apache-2.0 Python Gogs - Painless self-hosted Git Service written in Go. (Demo, Source Code) MIT Go Kallithea - Source code management system that supports two leading version control systems, Mercurial and Git, with a web interface. -
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. -
Programming on the Phone
Programming on the phone Programming on the phone why do people ask such a question? People are increasingly starting to ask a question, how is programming on the phone? Maybe convenient or not? Probably every beginner programmer who seeks knowledge and wants to program everywhere and always asked himself all these questions. Of course, this was influenced by such a rapid development of technology. For a short period of time, typewriters were replaced by laptops and PCs that can solve very complex problems. If we look at the development of phones in general, they also began to develop very quickly. At first, touch phones were not taken as they should, but now such a smartphone is an integral part of every person. This is the answer to the question: “Programming on the phone where do people get such questions and thoughts.” Almost everyone who is somehow familiar with programming will say that programming on Android or Apple smartphones is extremely inconvenient and unnecessary. • Math homework • Java homework • Python homework • C/C++ assignment They will be partly right, but this is still possible and let's figure out how and why? Programming on the phone will we figure it out? Programming on the phone is a long and complicated process, which does not bring as much pleasure and inspiration as with the same programming on a PC or laptop. However, it is not rare that it is not possible to take a laptop with you, and you need to complete the task or just want to program. In such cases, the phone can help out. -
Software Development Tools and Frameworks Kick-Off Meeting
Software Development Tools and Frameworks Kick-off meeting René Schönfelder Institute for Software Engineering and Programming Languages October 17, 2013 http://www.isp.uni-luebeck.de/courses/ws-20132014/ seminar-software-development-tools-and-frameworks. R. Schönfelder October 17, 2013 1/39 Agenda Motivation Science Planning Topics Assignments R. Schönfelder October 17, 2013 2/39 Why this seminar? I What is quality of software? I What is science? R. Schönfelder October 17, 2013 3/39 Agenda Motivation Science Planning Topics Assignments R. Schönfelder October 17, 2013 4/39 What is science? Immanuel Kant: I “Eine jede Lehre, wenn sie ein System, d.i. ein nach Principien geordnetes Ganze der Erkenntniß, sein soll, heißt Wissenschaft, . ” Simply put: Science = Research + Teaching R. Schönfelder October 17, 2013 5/39 What is science? Qualification goals (Module Guide): I The students can obtain a solid grounding a scientific topic. I They are able to present the results in a written documentation and in a talk in an understandable way. I The can present and discuss a scientific topic in English. This seminar shall prepare you for your bachelor’s thesis. R. Schönfelder October 17, 2013 6/39 What is science? (Actually, there is a corresponding english page, but the guide lines are still in german.) R. Schönfelder October 17, 2013 7/39 Good scientific practice For example: I respect for intellectual property, I to document results, I to consequently doubt all results yourself, I mentoring the young academics, I strict honesty with any kind of contributions, I the backup and safe-keeping of any primary data, I scientific publications. -
Devops & Software Development Tools
DevOps & Software Development Tools Competitive Landscape and Market Trends v2.3 – December 2018 Shea & Company DevOps & Software Development Tools Market Trends & Landscape The DevTools Market Has Reemerged ◼ Back in 2011, Marc Andreessen somewhat famously wrote “software is eating the world,” putting forward the belief we’re in the midst of a dramatic technological shift in which software-defined companies are poised to dominate large swathes of the economy. Over the intervening six years, accelerated by the cloud and a growing comfort with outsourcing human activates to machines, software has become ubiquitous. With examples like Amazon displacing traditional retailers or a proprietary “Today's large John Deere tractors have application for player evaluation named “Carmine” helping to lead the Boston Red Sox more lines of code than early space to three titles since 2004, the power of software cannot be understated. shuttles.” Samuel Allen (CEO, Deere & Company) ◼ Software is not only disrupting business models in place for centuries (or 86 years of baseball futility), but it also is enabling incumbent vendors across disparate industries to improve product offerings, drive deeper engagement with customers and optimize selling and marketing efforts. Most industries (financial services, retail, entertainment, healthcare) and large organizations now derive a great deal of their competitive differentiation from software. As Andreessen wrote, “the days when a car aficionado could repair his or her own car are long past, due primarily to the high software “Software is like entropy. It is difficult to content.” grasp, weighs nothing and obeys the second law of thermodynamics; i.e., it ◼ But as software has brought benefits, it has also brought increasing demands for always increases.” business agility – and the software industry itself has been changed. -
Statistics Survey 499767 'Alioth Replacement Survey'
Quick statistics Survey 499767 'Alioth Replacement Survey' Results Survey 499767 Number of records in this query: 317 Total records in survey: 317 Percentage of total: 100.00% page 1 / 62 Quick statistics Survey 499767 'Alioth Replacement Survey' Field summary for Q00001 What is your relationship to the project? Answer Count Percentage Developer (SQ001) 193 61.27% Maintainer (SQ002) 99 31.43% Contributor (SQ003) 125 39.68% User (SQ004) 206 65.40% Package Maintainer (SQ005) 169 53.65% Other 12 3.81% ID Response 2 translator 10 upstream 88 Upstream 102 sysadmin 157 DSA 248 former alioth maintainer 366 Translator 434 Infrastructure Maintainer 443 Ex-developer 480 bug reporter/triager 483 consultant to commercial users 494 Delegate page 2 / 62 Quick statistics Survey 499767 'Alioth Replacement Survey' Field summary for Q00001 What is your relationship to the project? page 3 / 62 Quick statistics Survey 499767 'Alioth Replacement Survey' Field summary for Q00002(SQ001) Which services are you using from alioth. Please rate each service from 1 (never used it) to 5 (very important for my work). [Issue Tracker] Answer Count Percentage Sum 1 (1) 232 79.73% 86.60% 2 (2) 20 6.87% 3 (3) 11 3.78% 3.78% 4 (4) 13 4.47% 5 (5) 13 4.47% 8.93% No answer 26 8.20% Arithmetic mean 0 Standard deviation 0 Sum (Answers) 289 100.00% 100.00% Number of cases 0% page 4 / 62 Quick statistics Survey 499767 'Alioth Replacement Survey' Field summary for Q00002(SQ001) Which services are you using from alioth. Please rate each service from 1 (never used it) to 5 (very important for my work). -
Thematic Cycle 2: Software Development Table of Contents
THEMATIC CYCLE 2: SOFTWARE DEVELOPMENT THEMATIC CYCLE 2: SOFTWARE DEVELOPMENT TABLE OF CONTENTS 1. SDLC (software development life cycle) tutorial: what is, phases, model -------------------- 4 What is Software Development Life Cycle (SDLC)? --------------------------------------------------- 4 A typical Software Development Life Cycle (SDLC) consists of the following phases: -------- 4 Types of Software Development Life Cycle Models: ------------------------------------------------- 6 2. What is HTML? ----------------------------------------------------------------------------------------------- 7 HTML is the standard markup language for creating Web pages. -------------------------------- 7 Example of a Simple HTML Document---------------------------------------------------------------- 7 Exercise: learn html using notepad or textedit ---------------------------------------------------- 11 Example: ---------------------------------------------------------------------------------------------------- 13 The <!DOCTYPE> Declaration explained ------------------------------------------------------------ 13 HTML Headings ---------------------------------------------------------------------------------------------- 13 Example: ---------------------------------------------------------------------------------------------------- 13 HTML Paragraphs ------------------------------------------------------------------------------------------- 14 Example: ----------------------------------------------------------------------------------------------------