Tech Talk #5 : Code Analysis SonarQube - Lương Trọng Nghĩa
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Sonar is a software quality management platform that enables developers to access and track code analysis data ranging from styling errors and potential bugs to code defects, duplications, lack of test coverage, and excess complexity. It supports over 20 programming languages. Some key features include over 600 coding rules, standard software metrics, the ability to drill down to source code details, a time machine feature to analyze technical debt and code smells over time, security measures, an extensible plugin system, and integrations with tools like Jenkins. Sonar also covers 7 axes of code quality and has an architecture that allows for analysis of code in a continuous integration workflow.
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Joomla Code Quality Control and Automation Testing
The document discusses code quality control for Joomla projects using automated tools for testing, analysis, and integration. It covers unit testing with PHPUnit, static analysis with PHP Code Sniffer and PHP Mess Detector, code coverage with PHPUnit, profiling with Xdebug, documentation with PHPDocumentor, and continuous integration with Phing and CruiseControl. Automating these processes improves code quality by detecting issues early.
Software maintenance PyConUK 2016
This document discusses strategies for maintaining a legacy Python codebase. It presents a three part "maintenance framework": 1) Understand the system through documentation, debugging, profiling and testing; 2) Establish a safety net using automated tests, continuous integration, monitoring and automation; 3) Improve the code through linting, complexity analysis and code reviews, and improve development practices through test-driven development. The document argues that software maintenance is a major cost and recommends these strategies to help understand an existing codebase and establish processes to prevent issues and improve quality over time.
Resume M_Shams_qureshi
This document provides a summary of Mohd Shams Qureshi's professional experience and qualifications. Qureshi has over 7 years of experience as a C/C++ software developer working on projects related to telecommunications including LTE and 5G networks. He has worked for Tata Consultancy Services and Process Precision Instruments on various embedded systems and software development projects involving technologies like Linux, C/C++, Python, and databases. Qureshi's education includes a B.E. in Electronics and Telecommunication and a post-graduate diploma in embedded systems design. He is currently working as an assistant consultant at Tata Consultancy Services in Mumbai, India.
Srikanth_PILLI_CV_latest
Srikanth Pilli has over 6 years of experience in embedded software development. He has expertise in C/C++, Python, Linux kernel driver development, video streaming, and networking. He has worked on projects involving home automation, surveillance systems, and embedded device development. His skills include embedded Linux systems, microcontroller programming, real-time protocols, and tools like Git. He holds an M.Tech in embedded systems and postgraduate diplomas in embedded systems and electronics.
Software maintenance PyConPL 2016
This document discusses strategies for maintaining legacy Python codebases. It begins with background on the presenter and an introduction to the topic. The bulk of the document outlines a three-part "maintenance framework": 1) Understand the system through documentation, debugging, profiling and testing; 2) Establish a safety net with automated tests, continuous integration, monitoring and automation; and 3) Improve the code and development practices through code quality tools, test-driven development, and code reviews. Emphasis is placed on understanding context, architecture and behavior before refactoring code and establishing collaborative processes to raise quality and knowledge sharing.
Summit 16: NetIDE: Integrating and Orchestrating SDN Controllers
NetIDE is a EU-funded project that is known to the OpenDaylight community, because we have contributed a component to the Beryllium release. However, the full NetIDE ecosystem is much more. It is an extended SDN controller framework that allows users to cherry-pick the best of breed both for the network facing controller and the SDN framework for applications. In addition it provides an application composition engine that allows network operators to introduce software development concepts like code reusability in their production cycle. In this talk, I will introduce the whole Network Engine as well as the NetIDE Eclipse plugin that allows us to create SDN applications, test them and run them on the NetIDE engine and reflect on why we contributed what we contributed to OpenDaylight.
Scaling Magento
This document summarizes strategies for scaling a Magento installation. It discusses code management techniques like using good IDE tools and avoiding modifying core files. It outlines hardware profiles including networks, databases, caches and utility servers. It describes the team structure with 16 committers across 5 departments and 31 vendors. Effective communication practices and documentation are emphasized. Release processes, deployments, community participation and collaboration texts are also summarized.
Netflix Open Source: Building a Distributed and Automated Open Source Program
Netflix has been using and contributing to open source for several years. Over the years, Netflix has released over one hundred Netflix Open Source (aka NetflixOSS) libraries, servers, and technologies. Netflix engineers benefit by accepting contributions and gathering feedback with key collaborators around the world. Users of NetflixOSS from many industries benefit from our solutions including Big Data, Build and Delivery Tools, Runtime Services and Libraries, Data Persistence, Insight, Reliability and Performance, Security and User Interface. With such a large and mature open source program, Netflix has worked on approaches and tools that help manage and improve the NetflixOSS source offerings and communities. Netflix has taken a different approach to building support for open source as compared to other Internet scale companies. Come to this session to learn about the unique approaches Netflix has taken to both distribute and automate the responsibilities of building a world-class open source program.
Building a Distributed & Automated Open Source Program at Netflix
Andrew Spyker
Senior Software Engineer for Netflix
Find more by Andrew Spyker: http://www.slideshare.net/aspyker
All Things Open
October 26-27, 2016
Raleigh, North Carolina
Technical debt management strategies
Raquel Pau discusses strategies for managing technical debt. She defines technical debt as code that is easy to implement in the short run but not the best overall solution. While some technical debt is inevitable when pursuing a minimum viable product strategy, it is important to measure all debt, control increases with quality gates and code reviews, and prioritize reducing existing debt through a "merciless" cleanup approach. Different types of technical debt include architectural, testing, code standards, infrastructure, and knowledge debt. Metrics, consequences, and solutions are proposed for managing each type of debt.
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Tech Talk #5 : Code Analysis SonarQube - Lương Trọng Nghĩa
- 2. Outline 1. What is Sonar? (demo) 2. Features 3. Covering 7 Axes of Code Quality 4. Architecture 5. Community and Ecosystem 6. Q&A
- 3. 1. What is Sonar? ● Is a software quality management platform → Java. ● Enabling developers to access and track code analysis data ranging ○ styling errors ○ potential bugs ○ code defects ○ code duplications ○ lack of test coverage ○ excess complexity ● Support more than 20 languages.
- 4. 2. Features ● Overview of all projects (demo) ● Coding rules: ○ 600+ rules are incorporated, can be fully parameterized. ○ implement your own. ● Standard software metrics: Lines of code, Documented API, Cyclomatic complexity, Test coverage, Duplicated code.
- 5. 2. Features ● Drill down to source code ● Time Machine (Technical Debt, Code Smell … -> SQALE), Motion Chart. Motion Chart Technical Debt
- 6. 2. Features ● Security measures ● Extensible plugin system ○ Additional languages. ○ Additional metrics: Useless code, Build stability ... ○ Visualization/Reporting: ■ PDF Report. ■ Timeline: Google Timeline Chart. ○ Integration: ■ Jenkins and Bamboo. ○ IDE: Eclipse
- 7. 3. Covering 7 Axes of Code Quality Aka Developers' Seven Deadly Sins
- 9. 5. Architecture Sonar with CI Architecture
- 10. 6. Community and Ecosytem ● Issues: http://jira.codehaus.org/browse/SONAR ● Open Source: https://github.com/SonarSource/sonarqube ● Contribute: http://www.sonarqube.org/development/
- 11. Q&A