Slides for my talk on TDD, the usual mistakes that developers make when practising TDD, the wider issues in TDD and suggestions how to make TDD work better
Dror Helper discusses the potential benefits and challenges of test-driven development (TDD). Some key points made include:
1) TDD involves writing tests before code to ensure functionality is tested and defined up front, though this approach seems counterintuitive to some.
2) Studies show TDD can increase development speed and lower defect rates compared to traditional development methods. However, TDD requires additional time spent writing tests initially.
3) Not all code is easily testable, such as user interfaces, but TDD can still be applied to test business logic. Overall, TDD aims to prevent defects and enable modular, maintainable code through iterative testing.
4) While TDD faces
This document discusses test driven development (TDD), including that it was created by Kent Beck in 2003 based on concepts from extreme programming. TDD focuses on writing tests before code using cycles of writing a failing test, making it pass, and refactoring. Benefits include more tests and less bugs, higher code quality, and a more modular system, while limitations include needing management support and potential for fake tests. The document provides an example of TDD using JUnit tests for a NameRetriever class.
Presentation given at GOTO Chicago that looks at why we don't like to write tests and one approach to improving automated tests that was taken by the MongoDB Java Driver team.
OSS Java Analysis - What You Might Be MissingCoverity
We think FindBugs is a great tool for finding coding style and best practice types of issues, so we conducted a little experiment a few months ago. We analyzed Jenkins core code with both FindBugs and Coverity. These slides provide a high-level summary of our results.
Yatspec is a tool that uses the @LinkingNote annotation to link acceptance test classes, helping to remove duplication between tests, make tests easier to find, and save time. It works by allowing tests to link to other test classes rather than duplicating logic. This helps follow principles like SRP and DRY. An example of using @LinkingNote in Yatspec was provided to demonstrate how it can help simplify tests and reduce maintenance time.
Auditing Development Guidelines in GitHub RepositoriesEvgeny Poberezkin
If your organisation has hundreds of code repositories you probably have some guidelines for them: how they are documented, how branches are protected, whether direct commits to master branch are allowed or only PRs should be used and all PRs should be reviewed, whether tests are run and code coverage is reported to PRs, etc.
Making sure that those guidelines are followed is a difficult task - even if all team members agree to do so, sometimes we simply forget or don't have time to implement the necessary changes.
Once we've agreed on our development guidelines, I was looking for a tool to automate such auditing for our team, so that in the same way as eslint can be used for testing code guidelines based on the rules, we could use this tool to audit our repositories in GitHub organisations. I couldn't find one so I created it.
Meet gh-lint - a rule-based command-line utility that audits all your GitHub repositories generating results in TAP (Test Anything Protocol) format that can be consumed by tap-github-issues reporter that can create, update and close issues in github repositories.
Dror Helper discusses the potential benefits and challenges of test-driven development (TDD). Some key points made include:
1) TDD involves writing tests before code to ensure functionality is tested and defined up front, though this approach seems counterintuitive to some.
2) Studies show TDD can increase development speed and lower defect rates compared to traditional development methods. However, TDD requires additional time spent writing tests initially.
3) Not all code is easily testable, such as user interfaces, but TDD can still be applied to test business logic. Overall, TDD aims to prevent defects and enable modular, maintainable code through iterative testing.
4) While TDD faces
This document discusses test driven development (TDD), including that it was created by Kent Beck in 2003 based on concepts from extreme programming. TDD focuses on writing tests before code using cycles of writing a failing test, making it pass, and refactoring. Benefits include more tests and less bugs, higher code quality, and a more modular system, while limitations include needing management support and potential for fake tests. The document provides an example of TDD using JUnit tests for a NameRetriever class.
Presentation given at GOTO Chicago that looks at why we don't like to write tests and one approach to improving automated tests that was taken by the MongoDB Java Driver team.
OSS Java Analysis - What You Might Be MissingCoverity
We think FindBugs is a great tool for finding coding style and best practice types of issues, so we conducted a little experiment a few months ago. We analyzed Jenkins core code with both FindBugs and Coverity. These slides provide a high-level summary of our results.
Yatspec is a tool that uses the @LinkingNote annotation to link acceptance test classes, helping to remove duplication between tests, make tests easier to find, and save time. It works by allowing tests to link to other test classes rather than duplicating logic. This helps follow principles like SRP and DRY. An example of using @LinkingNote in Yatspec was provided to demonstrate how it can help simplify tests and reduce maintenance time.
Auditing Development Guidelines in GitHub RepositoriesEvgeny Poberezkin
If your organisation has hundreds of code repositories you probably have some guidelines for them: how they are documented, how branches are protected, whether direct commits to master branch are allowed or only PRs should be used and all PRs should be reviewed, whether tests are run and code coverage is reported to PRs, etc.
Making sure that those guidelines are followed is a difficult task - even if all team members agree to do so, sometimes we simply forget or don't have time to implement the necessary changes.
Once we've agreed on our development guidelines, I was looking for a tool to automate such auditing for our team, so that in the same way as eslint can be used for testing code guidelines based on the rules, we could use this tool to audit our repositories in GitHub organisations. I couldn't find one so I created it.
Meet gh-lint - a rule-based command-line utility that audits all your GitHub repositories generating results in TAP (Test Anything Protocol) format that can be consumed by tap-github-issues reporter that can create, update and close issues in github repositories.
Resource leaks occur when a program fails to release resources it has acquired, like memory or file handles. While Java's garbage collector handles memory leaks, it cannot guarantee sufficient resources or clean up non-heap resources like database connections. A code example shows how failing to close a database connection statement can lead to a resource leak over time as the application continues to work with the database. Developers must explicitly close resources to avoid leaks and ensure resources are freed for future use.
This document discusses concurrency errors in Java and how to avoid them. It begins by defining a concurrency error as the result of incorrect synchronization that can cause issues like race conditions and starvation. It notes that concurrency errors can lead to data corruption, security vulnerabilities, and incorrect behavior. While Java includes synchronization primitives, concurrency is still tricky and errors can occur if the primitives are used incorrectly or without properly designing the concurrency model. The document provides examples of potential concurrency errors and ways to avoid them, such as locking on an appropriate shared object to ensure atomic read/write operations. In the end, it emphasizes the importance of remaining vigilant about concurrency through tools, analysis, and careful design.
TDD and agile methods originated from attempts to manage large software projects more effectively. TDD involves writing automated tests before code to specify requirements and catch errors early. It helps avoid major redesigns later. Tests should fail initially and then code is written to pass the test, followed by refactoring. Patterns like starting simply, faking dependencies, and generalizing from examples help get code passing tests quickly. Pitfalls include not starting with a failing test or refactoring tests improperly. The session covered TDD history and techniques, with examples and opportunities for further learning.
This document discusses various tips and perspectives on test-driven development (TDD). It addresses TDD as a tool that depends on context and constraints. It should be considered a skill that requires practice. TDD can serve as documentation when tests are written clearly and follow good practices like SOLID principles. The document emphasizes focusing TDD on goals and being aware that tests can increase coupling, requiring trade-offs. It recommends practicing TDD through katas to improve skills.
The document discusses principles of clean code and software quality. It summarizes Robert Martin's book "Clean Code" which defines characteristics of clean code such as being focused, readable, and containing only necessary content. It discusses metrics for measuring code quality, such as cyclomatic complexity, and principles for writing clean code, such as following the "Boy Scout Rule" to leave code better than how you found it. Implementation patterns like composed methods are presented, along with advantages of unit testing such as enabling quick changes and understanding design.
This is testing trends post, you got all testing related post , latest interview related post. All testing related material. Click the below link to find the my site, where you got all manual and automation testing related post.
This document discusses testing in PHP, outlining both good and bad practices. It notes that good testing is simple, easy to use, and uses the right tools for the job while simplifying dependencies and only testing what is needed. Good practices include unit tests testing only units in isolation without integration, using accurate descriptive names, and being reusable. Bad signs include long running or fragile redundant tests. Solutions proposed include stubbing networks and databases to isolate tests and improve performance.
This document discusses test-driven development (TDD). TDD involves writing tests before code in short cycles of writing tests, code to pass tests, and refactoring. Tests provide clarity about requirements and help discover edge cases early. Tests should be readable and organized with clear setup/teardown. Not all code needs 100% coverage but tests should cover fundamental behaviors. Mocks are used to isolate tests from external dependencies for performance. Behavior-driven development groups tests by behaviors and scenarios to connect similar functionality. The goals of TDD are for tests to be profitable, help maintainability, provide common understanding of behaviors, and ensure quality.
03 - chomu prohramisty ne testuiut - yurii chulovskyi - it event 2013 (5)Igor Bronovskyy
Чи траплялася вам ситуація, коли на ретроспективі, ви домовилися що будете писати тести. І всі розуміють яку користь вони дадуть. Але й після цього тести пишуться дуже рідко.
Ця презентація є спробою знайти причини і роздумом на тему: “Які технічні знання, зміни в технічному і соціальному середовиці необхідні для покращення тестів”.
Юрій Чуловський
http://itevent.if.ua/lecture/chomu-programisti-ne-testuyut
Talk given to Sydney Ruby (a.k.a. rorosyd) on 8 July, 2014. Inspired by the discussions that ensued from DHH's provocative pronouncement that "TDD is Dead".
Presentation made to CoastNerds November 2010 by Scott Wallace and Robert Dyball. Entitled "Test Driven Development - A Testing Journey", it describes the path we've started in agile development through test last, test first, TDD, ATDD and on to BDD. (The principles in the presentation apply to any language.)
Star Wars themed slides from my talk about code reviews at VilniusPHP meetup, which was held on Star Wars day - May 4th.
May the force be with you and your code!
Janet Gregory presented on the mindset change needed for agile testers. She discussed how testers should focus on collaboration, communication, and adding value beyond just finding bugs. Testers need to adopt a mindset of being analytical, curious, and skeptical. Gregory also covered different levels of testing from iteration to release level and techniques like exploratory testing, using examples, and mind mapping. She emphasized the importance of imagination and adapting different testing tools to context.
The document proposes using WordNet, an English lexical database, to semantically expand user search queries. It outlines experiments conducted using WordNet to expand query sets for a semantic search engine. The results showed some effective expansions but also problems with execution time.
The document proposes using WordNet, an English lexical database, to semantically expand user search queries. It outlines experiments conducted using WordNet to expand query sets for a semantic search engine. The results showed some effective expansions but also problems with execution time.
The document discusses strategies for testing legacy code, including:
1. Writing any tests, even quick and easy ones, is better than no tests, as it helps maintain old code with new bugs, hardware/OS, and third party changes.
2. Starting with characterization tests that validate expected failures can help fix complicated algorithms.
3. Writing tests divided by separated tasks and flows, focusing on the main path and avoiding edge cases, can help test legacy code not originally designed for testing.
Test Driven Development (TDD) provides several benefits over traditional waterfall and iterative development models:
1) It establishes a fast feedback cycle between writing code and writing tests, allowing developers to quickly validate functionality.
2) The automated tests that are written serve as documentation and specifications for the code, giving confidence that changes don't break existing functionality.
3) High test coverage promotes well-designed, loosely-coupled code that is easier to maintain and extend over time.
Joe Cisar - Everything I Know About TDD - Agile Midwest 2019Jason Tice
The document discusses test-driven development (TDD). TDD is a software development process where test cases are created to specify requirements before code is written to pass those tests. This ensures code meets requirements. Benefits of TDD include fewer bugs due to comprehensive testing, and ability to refactor code without breaking functionality. The document provides examples of different types of tests and outlines best practices for getting started with TDD.
Test Driven Development (TDD) is a core practice in the SDLC, especially ones that run using the agile mindset and leverage the practices of eXtreme programming. Since its inception and rediscovery by Kent beck in the late 1990s, it has gained popularity among many software development teams. However, like any popular software development practices, teams lose interest in TDD overtime and drop the practice all together. The main reason behind this is practicing it "the wrong way".
In this session, I present 7 anti-patterns that can ruin the TDD experience of a software development team. I also present how to counter these anti-patterns to fully leverage the benefits of TDD.
Resource leaks occur when a program fails to release resources it has acquired, like memory or file handles. While Java's garbage collector handles memory leaks, it cannot guarantee sufficient resources or clean up non-heap resources like database connections. A code example shows how failing to close a database connection statement can lead to a resource leak over time as the application continues to work with the database. Developers must explicitly close resources to avoid leaks and ensure resources are freed for future use.
This document discusses concurrency errors in Java and how to avoid them. It begins by defining a concurrency error as the result of incorrect synchronization that can cause issues like race conditions and starvation. It notes that concurrency errors can lead to data corruption, security vulnerabilities, and incorrect behavior. While Java includes synchronization primitives, concurrency is still tricky and errors can occur if the primitives are used incorrectly or without properly designing the concurrency model. The document provides examples of potential concurrency errors and ways to avoid them, such as locking on an appropriate shared object to ensure atomic read/write operations. In the end, it emphasizes the importance of remaining vigilant about concurrency through tools, analysis, and careful design.
TDD and agile methods originated from attempts to manage large software projects more effectively. TDD involves writing automated tests before code to specify requirements and catch errors early. It helps avoid major redesigns later. Tests should fail initially and then code is written to pass the test, followed by refactoring. Patterns like starting simply, faking dependencies, and generalizing from examples help get code passing tests quickly. Pitfalls include not starting with a failing test or refactoring tests improperly. The session covered TDD history and techniques, with examples and opportunities for further learning.
This document discusses various tips and perspectives on test-driven development (TDD). It addresses TDD as a tool that depends on context and constraints. It should be considered a skill that requires practice. TDD can serve as documentation when tests are written clearly and follow good practices like SOLID principles. The document emphasizes focusing TDD on goals and being aware that tests can increase coupling, requiring trade-offs. It recommends practicing TDD through katas to improve skills.
The document discusses principles of clean code and software quality. It summarizes Robert Martin's book "Clean Code" which defines characteristics of clean code such as being focused, readable, and containing only necessary content. It discusses metrics for measuring code quality, such as cyclomatic complexity, and principles for writing clean code, such as following the "Boy Scout Rule" to leave code better than how you found it. Implementation patterns like composed methods are presented, along with advantages of unit testing such as enabling quick changes and understanding design.
This is testing trends post, you got all testing related post , latest interview related post. All testing related material. Click the below link to find the my site, where you got all manual and automation testing related post.
This document discusses testing in PHP, outlining both good and bad practices. It notes that good testing is simple, easy to use, and uses the right tools for the job while simplifying dependencies and only testing what is needed. Good practices include unit tests testing only units in isolation without integration, using accurate descriptive names, and being reusable. Bad signs include long running or fragile redundant tests. Solutions proposed include stubbing networks and databases to isolate tests and improve performance.
This document discusses test-driven development (TDD). TDD involves writing tests before code in short cycles of writing tests, code to pass tests, and refactoring. Tests provide clarity about requirements and help discover edge cases early. Tests should be readable and organized with clear setup/teardown. Not all code needs 100% coverage but tests should cover fundamental behaviors. Mocks are used to isolate tests from external dependencies for performance. Behavior-driven development groups tests by behaviors and scenarios to connect similar functionality. The goals of TDD are for tests to be profitable, help maintainability, provide common understanding of behaviors, and ensure quality.
03 - chomu prohramisty ne testuiut - yurii chulovskyi - it event 2013 (5)Igor Bronovskyy
Чи траплялася вам ситуація, коли на ретроспективі, ви домовилися що будете писати тести. І всі розуміють яку користь вони дадуть. Але й після цього тести пишуться дуже рідко.
Ця презентація є спробою знайти причини і роздумом на тему: “Які технічні знання, зміни в технічному і соціальному середовиці необхідні для покращення тестів”.
Юрій Чуловський
http://itevent.if.ua/lecture/chomu-programisti-ne-testuyut
Talk given to Sydney Ruby (a.k.a. rorosyd) on 8 July, 2014. Inspired by the discussions that ensued from DHH's provocative pronouncement that "TDD is Dead".
Presentation made to CoastNerds November 2010 by Scott Wallace and Robert Dyball. Entitled "Test Driven Development - A Testing Journey", it describes the path we've started in agile development through test last, test first, TDD, ATDD and on to BDD. (The principles in the presentation apply to any language.)
Star Wars themed slides from my talk about code reviews at VilniusPHP meetup, which was held on Star Wars day - May 4th.
May the force be with you and your code!
Janet Gregory presented on the mindset change needed for agile testers. She discussed how testers should focus on collaboration, communication, and adding value beyond just finding bugs. Testers need to adopt a mindset of being analytical, curious, and skeptical. Gregory also covered different levels of testing from iteration to release level and techniques like exploratory testing, using examples, and mind mapping. She emphasized the importance of imagination and adapting different testing tools to context.
The document proposes using WordNet, an English lexical database, to semantically expand user search queries. It outlines experiments conducted using WordNet to expand query sets for a semantic search engine. The results showed some effective expansions but also problems with execution time.
The document proposes using WordNet, an English lexical database, to semantically expand user search queries. It outlines experiments conducted using WordNet to expand query sets for a semantic search engine. The results showed some effective expansions but also problems with execution time.
The document discusses strategies for testing legacy code, including:
1. Writing any tests, even quick and easy ones, is better than no tests, as it helps maintain old code with new bugs, hardware/OS, and third party changes.
2. Starting with characterization tests that validate expected failures can help fix complicated algorithms.
3. Writing tests divided by separated tasks and flows, focusing on the main path and avoiding edge cases, can help test legacy code not originally designed for testing.
Test Driven Development (TDD) provides several benefits over traditional waterfall and iterative development models:
1) It establishes a fast feedback cycle between writing code and writing tests, allowing developers to quickly validate functionality.
2) The automated tests that are written serve as documentation and specifications for the code, giving confidence that changes don't break existing functionality.
3) High test coverage promotes well-designed, loosely-coupled code that is easier to maintain and extend over time.
Joe Cisar - Everything I Know About TDD - Agile Midwest 2019Jason Tice
The document discusses test-driven development (TDD). TDD is a software development process where test cases are created to specify requirements before code is written to pass those tests. This ensures code meets requirements. Benefits of TDD include fewer bugs due to comprehensive testing, and ability to refactor code without breaking functionality. The document provides examples of different types of tests and outlines best practices for getting started with TDD.
Test Driven Development (TDD) is a core practice in the SDLC, especially ones that run using the agile mindset and leverage the practices of eXtreme programming. Since its inception and rediscovery by Kent beck in the late 1990s, it has gained popularity among many software development teams. However, like any popular software development practices, teams lose interest in TDD overtime and drop the practice all together. The main reason behind this is practicing it "the wrong way".
In this session, I present 7 anti-patterns that can ruin the TDD experience of a software development team. I also present how to counter these anti-patterns to fully leverage the benefits of TDD.
Test-driven development (TDD) is a software development process where test cases are written before code to define desired functionality, and then code is written to pass those tests. TDD results in simpler and more robust code, less debugging time, and greater confidence in refactoring. The TDD process involves adding a test, running all tests and seeing if the new test fails, writing code to pass the test, rerunning tests, and refactoring code before repeating. TDD helps avoid duplicated code and ensures requirements are met.
This document provides an introduction to test driven development (TDD). It begins by clarifying that TDD is a design strategy, not just a testing strategy, and is intended for developers rather than testers. The core components of TDD - unit tests, functional tests, and integration tests - are explained. Benefits of TDD include less rework, regression testing due to refactoring, and faster development. Challenges include scaling TDD to larger projects and testing interfaces. The document concludes by emphasizing that code without tests is "broken by design."
Test-driven development (TDD) is a software development technique where unit tests are written before code to define desired functionality. Writing tests first helps produce code with better design, lower maintenance costs, and fewer bugs. Key principles of TDD include writing code only to pass failing tests and eliminating duplication. Benefits include better test coverage, easier refactoring, and preventing regressions. TDD helps developers act as users to define behavior through interactions between system components.
This document outlines an agenda for a presentation on Test Driven Development (TDD) best practices. The agenda includes sections on an overview and introduction to TDD, what TDD is and the process, challenges of TDD, learning and best practices for sustaining TDD, frameworks and variations of TDD, and a question and answer period. Some key best practices discussed are writing tests before code, focusing tests on functionality rather than code structure, and establishing governance and training to ensure proper adoption of TDD.
This document discusses test-driven development (TDD) and summarizes the results of 3 research studies on TDD. TDD is a software development approach where unit tests are written before code to drive the development process. The research studies had inconsistent results on whether TDD improved quality and productivity. While TDD provides benefits like instant feedback and reducing defects, it also has limitations such as being difficult to learn and not including upfront design. The document concludes the effectiveness of TDD depends on factors like development goals and team experience. It also provides an overview of the JMock library which supports TDD.
Test Driven Development - Tulsa TechFest 2009Jason Ragsdale
Test-driven development (TDD) is a software development technique that follows three rules: 1) write a failing test first, 2) write code to pass that test, and 3) refactor code as needed. TDD has benefits like more trustworthy code and executable documentation, but also limitations like needing management support and potential for badly written tests. Unit tests test the smallest parts of an application, integration tests combine modules, and system tests evaluate full system compliance with requirements. TDD requires defined requirements before writing tests or code enhancements.
This document discusses definitions, principles, and best practices of test-driven development (TDD). It defines different types of TDD like test-oriented development, test-driven design, acceptance TDD, and developer TDD. The key principles of TDD discussed are red-green-refactor cycles, writing tests before code, and values like improved design, code quality, and maintenance. Guidelines around trustworthy, maintainable and readable unit tests are also provided.
This document provides an overview of test-driven development (TDD), including why it is important, perspectives on TDD, how to implement TDD, and recommended TDD tools. TDD involves writing tests before code to ensure requirements are met and drive the development process through repeated short cycles. Tests should be small, focused, repeatable, and independent to avoid side effects and keep code clean and working. Implementing TDD helps focus on required behaviors, improves quality, provides documentation, and allows for more confident changes and early defect identification.
The original promise of TDD was that it would assist in guiding the development of clean code, but it often ends up polluting our architecture with excessive composition, is expensive to write, and becomes an obstacle to change, not an aid to refactoring. In this talk, we look at the fallacies of TDD and learn about the key principles that we should be following for mastery of this practice. This talk is intended for those who have been practicing TDD, or who have tried TDD and given up because of shortcomings in the approach they were taught.
Test Driven Development on Android (Kotlin Kenya)Danny Preussler
This document discusses test-driven development (TDD) and its application to Android development. It begins with an introduction to TDD, outlining its core principles and benefits. It describes the "red, green, refactor" process and emphasizes writing tests before code. It addresses challenges with testing Android code, such as dependencies on framework classes, and recommends strategies like wrapping classes to isolate dependencies. Finally, it outlines the benefits of TDD such as reduced bugs, improved design, and increased productivity over the long run despite initial slower development.
Understanding TDD - theory, practice, techniques and tips.Malinda Kapuruge
My talk at the Swinburne University on 09/10/2019. Presented to students as part of the series, Development Projects - Tools and Practices.
Level: Beginner
Test-driven development (TDD) is a software development technique that follows three rules: 1) write a failing test first, 2) write code to pass that test, and 3) refactor code as needed. TDD involves short development cycles of writing a failing test, minimal code to pass that test, and refactoring code. Benefits include more trustworthy code and executable documentation, but limitations include difficulty testing some code and need for management support. Unit tests test individual parts of code, integration tests combine modules, and system tests evaluate full system requirements.
The document discusses test driven development (TDD) and how to apply it when building REST APIs with Node.js. It defines TDD as a process of writing unit tests before code, then writing minimal code to pass tests and refactoring code. Benefits include improved quality and reduced bugs, while limitations include an upfront time cost. Common pitfalls involve not running tests frequently, writing too many tests at once, or not maintaining the test suite. The document demonstrates building a REST API with Node.js using TDD with tools like Express, Mongoose, Mocha and Gulp.
The document discusses test driven development (TDD) and how to apply it when building REST APIs with Node.js. It defines TDD as a process of writing unit tests before code, then writing minimal code to pass tests and refactoring. Benefits include improved quality and reduced bugs, while limitations include initial overhead. Common pitfalls involve not running tests frequently enough, tests that are too large or trivial, and partial team adoption. The document demonstrates building a REST API with Node.js using TDD with Express, Mongoose, Passport and tools like Mocha, Assert and Gulp.
This document discusses test-driven development (TDD), a software development technique where test cases are written before implementation code. TDD involves writing a failing test case, then code to pass the test, and refactoring code as needed. Key principles are writing tests first, running tests frequently, and making code changes in small iterative steps. TDD aims to increase code quality and reduce bugs by fully testing code in short cycles.
Test-driven development (TDD) is a software development technique that follows three rules: 1) write a failing test first, 2) write code to pass that test, and 3) refactor code as needed. TDD has benefits like more trustworthy code and executable documentation, but also limitations like difficulty testing some code and needing management support. Unit tests test the smallest parts of an application, integration tests combine modules, and system tests evaluate full system requirements compliance as a black box.
Similar to Common mistakes in tdd can you guess (20)
Introduction to the Microsoft identity platform for developersChristos Matskas
This deck gives you a quick tour of some of the important features in the Microsoft Identity Platform including Azure AD and B2C. We cover the why and the how to get started with the Microsoft identity platform to securely authenticate and authorize users in your apps - any platform, any language, any cloud.
This document discusses security best practices for data and code including security in transit, at rest, and during deployment to production. It emphasizes implementing the right permissions for accessing data securely and deploying code to production using DevSecOps practices.
Christos Matskas discusses Azure Functions, a serverless computing service that allows developers to run code without managing infrastructure. Azure Functions provides benefits like reduced DevOps workload and faster time to market by managing applications rather than servers. It uses a variety of triggers and bindings to connect events to code execution and integrates with tools for local development, monitoring, and deployment.
A session on how to use Azure DevOps best practices for developing and publishing applications and infrastructure to Azure, whether you use PaaS, FaaS or IaaS
This document provides an overview of serverless computing with Azure Functions. It discusses what serverless is and the benefits it provides like reduced DevOps workload and faster time to market. It describes the components of the serverless application platform in Azure Functions including development tools, triggers and bindings, and monitoring. It also demonstrates using Functions in the Azure portal and discusses deployment isolation, serverless APIs, and monitoring with Application Insights.
Serverless with azure functions the rebel serviceChristos Matskas
Azure Serverless introduction around Functions and LogicApps. It's all about creating microservices and event-driven solutions with the power of the cloud
Becoming an awesome Open Source contributor and maintainerChristos Matskas
The document outlines terms and conditions for use of proprietary Microsoft training materials. It states that the content is confidential and intended solely for the described training, and copying or sharing content is prohibited. The contents are provided "as is" without warranty and are subject to change without notice. Unless otherwise noted, companies and products depicted are fictional and no implied endorsement is intended. Copyright and trademarks are also discussed.
Visual Studio Code and JavaScript - a pair made in heavenChristos Matskas
A talk about how VS Code enables JavaScript developers to be more productive and efficient using the VS Code debugger, Intellisence, Git integration and Extension
This document summarizes the design, development, deployment, and monitoring of serverless applications using Azure Functions. It outlines best practices for distributed architecture, cloud DevOps, and using Logic Apps for workflow orchestration. The development process involves using Azure Functions Core Tools and bindings to connect triggers and outputs. Deployment is done through Azure Resource Manager templates. Monitoring is done through Application Insights.
Serverless compute with Azure Functions abstracts away infrastructure management and allows developers to focus on writing code for triggered operations. Azure Functions supports bindings to data sources and services that avoid writing boilerplate integration code, and can be deployed and managed via the Azure Functions runtime, CLI tools, templates and samples on GitHub.
Universal windows platform - Application development done rightChristos Matskas
The document discusses Microsoft's Universal Windows Platform (UWP) strategy. The key points are:
- UWP provides a unified platform and app model that works across devices like phones, tablets, desktops, Xbox and more.
- UWP apps can be written once and deployed across all UWP-supported devices and platforms without recompiling.
- UWP aims to bridge technologies like Win32, Web, Android and iOS so developers can reuse existing code and port apps to UWP more easily.
This document provides information about becoming an open source contributor, including defining open source software, discussing why people should get involved, and providing tips for both contributors and maintainers. It highlights how open source is used widely, encourages finding approachable projects to contribute to, and emphasizes the importance of things like writing code, submitting pull requests, following guidelines, and being supportive and patient. The goal is to help people start and successfully contribute to the open source community.
TypeScript - Your regular JavaScript on steroidsChristos Matskas
Slides from my talk on Supercharing your Javascript with TypeScript. It includes an intro to the current problems we face in JavaScript and describes how TypeScript can be used to develop enterprise-scale applications.
How to become an awesome Open Source contributorChristos Matskas
The slides from my talk at FullStack 2015 on getting started with Open Source and how to become an awesome contributor or maintainer. You can find some useful links at the end as well
Slides from my talk on IoT application development using the Windows Core IoT operating system and .NET. In this talk I introduce IoT, explain why it's important for developers and analyze briefly the moral and security implications. Finally, I run a demo using an applicaton running on Raspberry Pi talking to number of sensors to pull noise and temperature reading and post them on the cloud
These is the slide deck I used during my talk at Software Architect about how using architecture in order to create maintainable, secure and fast mobile applications.
Why Apache Kafka Clusters Are Like Galaxies (And Other Cosmic Kafka Quandarie...Paul Brebner
Closing talk for the Performance Engineering track at Community Over Code EU (Bratislava, Slovakia, June 5 2024) https://eu.communityovercode.org/sessions/2024/why-apache-kafka-clusters-are-like-galaxies-and-other-cosmic-kafka-quandaries-explored/ Instaclustr (now part of NetApp) manages 100s of Apache Kafka clusters of many different sizes, for a variety of use cases and customers. For the last 7 years I’ve been focused outwardly on exploring Kafka application development challenges, but recently I decided to look inward and see what I could discover about the performance, scalability and resource characteristics of the Kafka clusters themselves. Using a suite of Performance Engineering techniques, I will reveal some surprising discoveries about cosmic Kafka mysteries in our data centres, related to: cluster sizes and distribution (using Zipf’s Law), horizontal vs. vertical scalability, and predicting Kafka performance using metrics, modelling and regression techniques. These insights are relevant to Kafka developers and operators.
Streamlining End-to-End Testing Automation with Azure DevOps Build & Release Pipelines
Automating end-to-end (e2e) test for Android and iOS native apps, and web apps, within Azure build and release pipelines, poses several challenges. This session dives into the key challenges and the repeatable solutions implemented across multiple teams at a leading Indian telecom disruptor, renowned for its affordable 4G/5G services, digital platforms, and broadband connectivity.
Challenge #1. Ensuring Test Environment Consistency: Establishing a standardized test execution environment across hundreds of Azure DevOps agents is crucial for achieving dependable testing results. This uniformity must seamlessly span from Build pipelines to various stages of the Release pipeline.
Challenge #2. Coordinated Test Execution Across Environments: Executing distinct subsets of tests using the same automation framework across diverse environments, such as the build pipeline and specific stages of the Release Pipeline, demands flexible and cohesive approaches.
Challenge #3. Testing on Linux-based Azure DevOps Agents: Conducting tests, particularly for web and native apps, on Azure DevOps Linux agents lacking browser or device connectivity presents specific challenges in attaining thorough testing coverage.
This session delves into how these challenges were addressed through:
1. Automate the setup of essential dependencies to ensure a consistent testing environment.
2. Create standardized templates for executing API tests, API workflow tests, and end-to-end tests in the Build pipeline, streamlining the testing process.
3. Implement task groups in Release pipeline stages to facilitate the execution of tests, ensuring consistency and efficiency across deployment phases.
4. Deploy browsers within Docker containers for web application testing, enhancing portability and scalability of testing environments.
5. Leverage diverse device farms dedicated to Android, iOS, and browser testing to cover a wide range of platforms and devices.
6. Integrate AI technology, such as Applitools Visual AI and Ultrafast Grid, to automate test execution and validation, improving accuracy and efficiency.
7. Utilize AI/ML-powered central test automation reporting server through platforms like reportportal.io, providing consolidated and real-time insights into test performance and issues.
These solutions not only facilitate comprehensive testing across platforms but also promote the principles of shift-left testing, enabling early feedback, implementing quality gates, and ensuring repeatability. By adopting these techniques, teams can effectively automate and execute tests, accelerating software delivery while upholding high-quality standards across Android, iOS, and web applications.
Hyperledger Besu 빨리 따라하기 (Private Networks)wonyong hwang
Hyperledger Besu의 Private Networks에서 진행하는 실습입니다. 주요 내용은 공식 문서인https://besu.hyperledger.org/private-networks/tutorials 의 내용에서 발췌하였으며, Privacy Enabled Network와 Permissioned Network까지 다루고 있습니다.
This is a training session at Hyperledger Besu's Private Networks, with the main content excerpts from the official document besu.hyperledger.org/private-networks/tutorials and even covers the Private Enabled and Permitted Networks.
Software Test Automation - A Comprehensive Guide on Automated Testing.pdfkalichargn70th171
Moving to a more digitally focused era, the importance of software is rapidly increasing. Software tools are crucial for upgrading life standards, enhancing business prospects, and making a smart world. The smooth and fail-proof functioning of the software is very critical, as a large number of people are dependent on them.
Building API data products on top of your real-time data infrastructureconfluent
This talk and live demonstration will examine how Confluent and Gravitee.io integrate to unlock value from streaming data through API products.
You will learn how data owners and API providers can document, secure data products on top of Confluent brokers, including schema validation, topic routing and message filtering.
You will also see how data and API consumers can discover and subscribe to products in a developer portal, as well as how they can integrate with Confluent topics through protocols like REST, Websockets, Server-sent Events and Webhooks.
Whether you want to monetize your real-time data, enable new integrations with partners, or provide self-service access to topics through various protocols, this webinar is for you!
Flutter vs. React Native: A Detailed Comparison for App Development in 2024dhavalvaghelanectarb
Choosing the right framework for your cross-platform mobile app can be a tough decision. Both Flutter and React Native offer compelling features and have earned their place in the development world. Here is a detailed comparison to help you weigh their strengths and weaknesses. Here are the pros and cons of developing mobile apps in React Native vs Flutter.
The Rising Future of CPaaS in the Middle East 2024Yara Milbes
Explore "The Rising Future of CPaaS in the Middle East in 2024" with this comprehensive PPT presentation. Discover how Communication Platforms as a Service (CPaaS) is transforming communication across various sectors in the Middle East.
A Comprehensive Guide on Implementing Real-World Mobile Testing Strategies fo...kalichargn70th171
In today's fiercely competitive mobile app market, the role of the QA team is pivotal for continuous improvement and sustained success. Effective testing strategies are essential to navigate the challenges confidently and precisely. Ensuring the perfection of mobile apps before they reach end-users requires thoughtful decisions in the testing plan.
14 th Edition of International conference on computer visionShulagnaSarkar2
About the event
14th Edition of International conference on computer vision
Computer conferences organized by ScienceFather group. ScienceFather takes the privilege to invite speakers participants students delegates and exhibitors from across the globe to its International Conference on computer conferences to be held in the Various Beautiful cites of the world. computer conferences are a discussion of common Inventions-related issues and additionally trade information share proof thoughts and insight into advanced developments in the science inventions service system. New technology may create many materials and devices with a vast range of applications such as in Science medicine electronics biomaterials energy production and consumer products.
Nomination are Open!! Don't Miss it
Visit: computer.scifat.com
Award Nomination: https://x-i.me/ishnom
Conference Submission: https://x-i.me/anicon
For Enquiry: Computer@scifat.com
Ensuring Efficiency and Speed with Practical Solutions for Clinical OperationsOnePlan Solutions
Clinical operations professionals encounter unique challenges. Balancing regulatory requirements, tight timelines, and the need for cross-functional collaboration can create significant internal pressures. Our upcoming webinar will introduce key strategies and tools to streamline and enhance clinical development processes, helping you overcome these challenges.
A neural network is a machine learning program, or model, that makes decisions in a manner similar to the human brain, by using processes that mimic the way biological neurons work together to identify phenomena, weigh options and arrive at conclusions.
The Role of DevOps in Digital Transformation.pdfmohitd6
DevOps plays a crucial role in driving digital transformation by fostering a collaborative culture between development and operations teams. This approach enhances the speed and efficiency of software delivery, ensuring quicker deployment of new features and updates. DevOps practices like continuous integration and continuous delivery (CI/CD) streamline workflows, reduce manual errors, and increase the overall reliability of software systems. By leveraging automation and monitoring tools, organizations can improve system stability, enhance customer experiences, and maintain a competitive edge. Ultimately, DevOps is pivotal in enabling businesses to innovate rapidly, respond to market changes, and achieve their digital transformation goals.
Photoshop Tutorial for Beginners (2024 Edition)alowpalsadig
Photoshop Tutorial for Beginners (2024 Edition)
Explore the evolution of programming and software development and design in 2024. Discover emerging trends shaping the future of coding in our insightful analysis."
Here's an overview:Introduction: The Evolution of Programming and Software DevelopmentThe Rise of Artificial Intelligence and Machine Learning in CodingAdopting Low-Code and No-Code PlatformsQuantum Computing: Entering the Software Development MainstreamIntegration of DevOps with Machine Learning: MLOpsAdvancements in Cybersecurity PracticesThe Growth of Edge ComputingEmerging Programming Languages and FrameworksSoftware Development Ethics and AI RegulationSustainability in Software EngineeringThe Future Workforce: Remote and Distributed TeamsConclusion: Adapting to the Changing Software Development LandscapeIntroduction: The Evolution of Programming and Software Development
Photoshop Tutorial for Beginners (2024 Edition)Explore the evolution of programming and software development and design in 2024. Discover emerging trends shaping the future of coding in our insightful analysis."Here's an overview:Introduction: The Evolution of Programming and Software DevelopmentThe Rise of Artificial Intelligence and Machine Learning in CodingAdopting Low-Code and No-Code PlatformsQuantum Computing: Entering the Software Development MainstreamIntegration of DevOps with Machine Learning: MLOpsAdvancements in Cybersecurity PracticesThe Growth of Edge ComputingEmerging Programming Languages and FrameworksSoftware Development Ethics and AI RegulationSustainability in Software EngineeringThe Future Workforce: Remote and Distributed TeamsConclusion: Adapting to the Changing Software Development LandscapeIntroduction: The Evolution of Programming and Software Development
The importance of developing and designing programming in 2024
Programming design and development represents a vital step in keeping pace with technological advancements and meeting ever-changing market needs. This course is intended for anyone who wants to understand the fundamental importance of software development and design, whether you are a beginner or a professional seeking to update your knowledge.
Course objectives:
1. **Learn about the basics of software development:
- Understanding software development processes and tools.
- Identify the role of programmers and designers in software projects.
2. Understanding the software design process:
- Learn about the principles of good software design.
- Discussing common design patterns such as Object-Oriented Design.
3. The importance of user experience (UX) in modern software:
- Explore how user experience can improve software acceptance and usability.
- Tools and techniques to analyze and improve user experience.
4. Increase efficiency and productivity through modern development tools:
- Access to the latest programming tools and languages used in the industry.
- Study live examples of applications
4. What TDD isn’t
•TDD tests are not Unit Tests
•TDD tests are not User Acceptance Tests
5. What does TDD have to offer?
• Small pieces of code
• Short feedback loop
• Helps create design specification
• Reduces time to do bug fixes and add new features
• Reduces debugger-driven development
• Makes the code more adaptable
17. Make TDD work for you
Use the right tool for the job
18. TDD with Model-View-Controller(MVC)
public Controller UserController()
{
//...other code ommitted
public IHttpViewResult GetAllUsers()
{
return new UserView(userService.GetAllUsers());
}
}
19. Make TDD work for you
• Code-to-test radio => 1:2
• Find the right coverage ratio
• Test should take less time to write than actual code
• Keep clear separation between unit & integration
tests
• Find the best approach to code first (30:70?