This document provides an introduction to unit testing and mocking. It discusses the benefits of unit testing such as safer refactoring and value that increases over time. It provides a recipe for setting up a unit test project with test classes and methods using AAA syntax. It also covers what mocking is and how to use mocking frameworks to create fake dependencies and check interactions. Resources for learning more about unit testing and related tools are provided.
Unit Testing Concepts and Best PracticesDerek Smith
Unit testing involves writing code to test individual units or components of an application to ensure they perform as expected. The document discusses best practices for unit testing including writing atomic, consistent, self-descriptive tests with clear assertions. Tests should be separated by business module and type and not include conditional logic, loops, or exception handling. Production code should be isolated from test code. The goal of unit testing is to validate that code meets specifications and prevents regressions over time.
Unit testing involves testing individual units or components of code to ensure they work as intended. It focuses on testing small, isolated units of code to check functionality and edge cases. Benefits include faster debugging, development and regression testing. Guidelines for effective unit testing include keeping tests small, automated, independent and focused on the code's public API. Tests should cover a variety of inputs including boundaries and error conditions.
The document discusses best practices for unit testing, including:
1. Tests should follow a 3 step structure of prepare input, call method, check output. They should be fast, consistent, atomic, and have single responsibility.
2. Tests should isolate the environment, classes, and test instances to avoid dependencies. Mocking is recommended for environment isolation.
3. The best practices aim to make tests independent, fast, and easy to maintain through techniques like mocking and separating test logic from production code.
This document provides an overview of agile methodology for software development. It discusses how agile practices arose in response to the limitations of traditional waterfall approaches. The core principles of agile include valuing individuals and interactions, working software, customer collaboration, and responding to change. Agile methods embrace changing requirements, frequent delivery of working software, collaboration between business and technical teams, self-organizing teams, and continuous improvement.
Increasing demand in technology is increasing in the number of people choosing software testing as their career path. While it requires a set of technical skills, there are a lot of other things to consider before getting into the field. Here are some that may help you.
This document summarizes a talk on using Behavior Driven Development (BDD) with Cucumber and Java. The talk covers:
- An overview of BDD and its format using user stories and scenarios
- How Cucumber supports BDD with plain text specifications that can be implemented in multiple languages like Java
- The advantages of Cucumber like having a single source of truth and focusing development on customer needs
- Using Cucumber-JVM for Java projects, including running tests with JUnit and the command line
- Setting up a sample project in IntelliJ with Cucumber
- An overview of the Geb framework for automating web tests in Groovy
- Time for questions at the end
1) The document provides guidance on testing APIs for security weaknesses, including enumerating the attack surface, common tools to use, what to test for (e.g. authentication, authorization, injections), and demo apps to practice on.
2) It recommends testing authentication and authorization mechanisms like tokens, injections attacks on state-changing requests, and how data is consumed client-side.
3) The document also discusses testing for denial of service conditions, data smuggling through middleware, API rate limiting, and cross-origin requests.
Unit testing is a method to test individual units of source code to determine if they are fit for use. A unit is the smallest testable part of an application. Unit tests are created by programmers during development. Test-driven development uses tests to drive the design by writing a failing test first, then code to pass the test, and refactoring the code. Unit tests should be isolated, repeatable, fast, self-documenting, and use techniques like dependency injection and mocking dependencies. Benefits of unit testing include instant feedback, promoting modularity, acting as a safety net for changes, and providing documentation.
The document discusses unit testing, defining it as testing the smallest piece of code in isolation. It provides an example of a unit (a math class with an Add method) and unit test (a test method that calls Add and asserts the expected result). It outlines considerations for unit testing like interfaces, data structures, and paths. It describes the unit testing procedure of using a driver and stubs to provide a complete testing environment and isolate the module under test.
The document discusses unit testing and provides guidance on how to effectively implement unit testing. It defines unit testing as testing individual units or components of software code to verify they are functioning as intended. The document outlines best practices for unit testing such as writing test cases that cover valid, invalid, and boundary conditions. It also recommends testing frameworks like JUnit that can automate running test cases. Overall, the document advocates for developing a rigorous unit testing strategy and practicing habits like writing tests first and continuously running tests to improve code quality.
Unit testing involves testing individual components of software to ensure they function as intended when isolated from the full system. It helps identify unintended effects of code changes. While unit tests cannot prove the absence of errors, they act as an executable specification for code behavior. Writing unit tests requires designing code for testability through principles like single responsibility and dependency injection. Tests should focus on public interfaces and state transitions, not implementation details. Test-driven development involves writing tests before code to define requirements and ensure only testable code is written. Mocking frameworks simulate dependencies to isolate the system under test. Well-written unit tests keep behaviors isolated, self-contained, and use the arrange-act-assert structure.
This document provides an overview of unit testing and isolation frameworks. It defines key concepts like units, unit tests, stubs, mocks and isolation frameworks. It explains that the goal of unit tests is to test individual units of code in isolation by replacing dependencies with stubs or mocks. It also discusses different isolation frameworks like Rhino Mocks and Moq that make it easier to dynamically create stubs and mocks without writing implementation code. The document covers different styles of isolation like record-and-replay and arrange-act-assert. It emphasizes best practices like having one mock per test and using stubs for other dependencies being tested.
The document discusses introductory concepts and best practices for unit testing, including:
1. Why unit tests are important for reducing bugs, improving design, and making development faster.
2. The different types of tests like unit tests, integration tests, and functional tests.
3. What constitutes a unit test, including that it is small, repeatable, consistent, and fast.
4. An example of writing a "Hello World" unit test in C#.
The document discusses unit testing and automated testing. It defines various testing terminology like unit tests, integration tests, system tests, and regression tests. It emphasizes the importance of testing early and often to find bugs quickly, increase quality assurance, and improve code design for testability. Automating tests through continuous integration is recommended to efficiently run tests on new code commits and catch errors early. Test-driven development is introduced as a practice of writing tests before code to ensure all tests initially fail and the code is developed to pass the tests.
This document discusses unit and integration testing. It begins by explaining the benefits of testing, such as reducing bugs and allowing safe refactoring. It then describes different types of tests like unit, integration, and database tests. The document focuses on unit testing, explaining how to write and organize unit tests using PHPUnit. It provides examples of test assertions and annotations. It also covers mocking and stubbing dependencies. Finally, it discusses challenges like testing code that relies on external components and provides strategies for database testing.
This document provides an overview of test-driven development (TDD). It defines TDD as a technique for building software where tests are written before code to guide development. The key aspects of TDD covered are:
- Writing tests first before code, which helps improve design and ensures tests are written.
- The TDD mantra of Red-Green-Refactor, where tests initially fail (Red), code is written to pass tests (Green), then code is refactored to improve design.
- An example case study of a large Java project developed using TDD that has over 20,000 lines of unit tests providing over 90% test coverage.
Unit testing involves individually testing small units or modules of code, such as functions, classes, or programs, to determine if they are fit for use. The goal is to isolate each part of a program and verify that it works as intended, helps reduce defects early in the development process, and improves code design. Unit testing is typically done by developers to test their code meets its design before integration testing.
This document summarizes unit testing done for core methods using the NUnit testing framework integrated with Jenkins. It discusses the testing framework used, naming conventions for test cases, the Arrange Act Assert pattern for writing test cases, sample test cases, goals of unit testing, and concludes with a demonstration and Q&A. A total of 496 test cases were written to test 6 core methods.
This document provides an overview of test automation using Cucumber and Calabash. It discusses using Cucumber to write automated test specifications in plain language and Calabash to execute those tests on Android apps. It outlines the environments, tools, and basic steps needed to get started, including installing Ruby and DevKit, creating Cucumber feature files, and using Calabash APIs to automate user interactions like tapping, entering text, and scrolling. The document also explains how to run tests on an Android app and generate an HTML report of the results.
The document discusses unit testing and its benefits and limitations. It notes that while tests provide confidence that code works as intended, they cannot prevent all problems. The Boeing 737 MAX crashes are discussed as an example of issues despite passing tests due to sensor problems. Proper unit testing involves automated, repeatable, and continuous testing of isolated units with mocked dependencies. Test-driven development and design can lead to more testable and maintainable code, but tests also have costs and limitations.
The document discusses best practices for unit testing code. It defines what a unit test is and explains why unit testing is important for finding bugs early and increasing quality assurance. It provides terminology around unit testing, including definitions of test-driven development, test fixtures, assertions, and mocks. The document outlines several best practices for writing unit tests, such as making tests consistent, atomic, single responsibility, self-descriptive, and separating tests by business module and type. It also advises not including conditional logic, loops, exception handling, or test logic in production code.
Unit testing involves writing code to test individual units or components of an application to ensure they operate as expected. Unit tests act as specifications for code and help produce better, more readable and maintainable code. An effective unit test has one test class per code class, runs tests in isolation, has clear and descriptive names from a user perspective, and asserts a single outcome per test. Tools like mocking frameworks can help with unit testing by injecting dependencies and states. Unit tests should focus on testing logic and not user interfaces.
This document discusses software engineering and software testing. Software engineering is concerned with developing large software through applying engineering principles. The challenge is to produce high quality software within budget and schedule constraints. Software testing is the process of finding errors in software and involves both manual and automated testing. Different types of testing include unit, integration, system, and acceptance testing. The goal of testing is to uncover defects early and reduce costs.
Unit testing involves testing individual units or components of code to ensure they work as intended. It focuses on testing functional correctness, error handling, and input/output values. The main benefits are faster debugging, easier integration testing, and living documentation. Guidelines for effective unit testing include writing automated, independent, focused tests that cover boundaries and are easy to run and maintain.
The document discusses various aspects of unit testing including definitions, benefits, naming standards, and best practices. It provides definitions for terms like error, defect, failure. It outlines the benefits of unit testing like finding bugs early, enabling code refactoring. It discusses what should be tested like boundaries, error conditions. It also provides examples of good test names and guidelines for structuring and naming unit tests.
The document discusses various aspects of unit testing including definitions, benefits, naming standards, and best practices. It provides definitions for terms like error, defect, failure. It outlines the benefits of unit testing like finding bugs early, enabling code refactoring. It discusses what should be tested like boundaries, error conditions. It also provides examples of good test names and guidelines for structuring and naming unit tests.
Unit testing is a method to test individual units of source code to determine if they are fit for use. A unit is the smallest testable part of an application. Unit tests are created by programmers during development. Test-driven development uses tests to drive the design by writing a failing test first, then code to pass the test, and refactoring the code. Unit tests should be isolated, repeatable, fast, self-documenting, and use techniques like dependency injection and mocking dependencies. Benefits of unit testing include instant feedback, promoting modularity, acting as a safety net for changes, and providing documentation.
The document discusses unit testing, defining it as testing the smallest piece of code in isolation. It provides an example of a unit (a math class with an Add method) and unit test (a test method that calls Add and asserts the expected result). It outlines considerations for unit testing like interfaces, data structures, and paths. It describes the unit testing procedure of using a driver and stubs to provide a complete testing environment and isolate the module under test.
The document discusses unit testing and provides guidance on how to effectively implement unit testing. It defines unit testing as testing individual units or components of software code to verify they are functioning as intended. The document outlines best practices for unit testing such as writing test cases that cover valid, invalid, and boundary conditions. It also recommends testing frameworks like JUnit that can automate running test cases. Overall, the document advocates for developing a rigorous unit testing strategy and practicing habits like writing tests first and continuously running tests to improve code quality.
Unit testing involves testing individual components of software to ensure they function as intended when isolated from the full system. It helps identify unintended effects of code changes. While unit tests cannot prove the absence of errors, they act as an executable specification for code behavior. Writing unit tests requires designing code for testability through principles like single responsibility and dependency injection. Tests should focus on public interfaces and state transitions, not implementation details. Test-driven development involves writing tests before code to define requirements and ensure only testable code is written. Mocking frameworks simulate dependencies to isolate the system under test. Well-written unit tests keep behaviors isolated, self-contained, and use the arrange-act-assert structure.
This document provides an overview of unit testing and isolation frameworks. It defines key concepts like units, unit tests, stubs, mocks and isolation frameworks. It explains that the goal of unit tests is to test individual units of code in isolation by replacing dependencies with stubs or mocks. It also discusses different isolation frameworks like Rhino Mocks and Moq that make it easier to dynamically create stubs and mocks without writing implementation code. The document covers different styles of isolation like record-and-replay and arrange-act-assert. It emphasizes best practices like having one mock per test and using stubs for other dependencies being tested.
The document discusses introductory concepts and best practices for unit testing, including:
1. Why unit tests are important for reducing bugs, improving design, and making development faster.
2. The different types of tests like unit tests, integration tests, and functional tests.
3. What constitutes a unit test, including that it is small, repeatable, consistent, and fast.
4. An example of writing a "Hello World" unit test in C#.
The document discusses unit testing and automated testing. It defines various testing terminology like unit tests, integration tests, system tests, and regression tests. It emphasizes the importance of testing early and often to find bugs quickly, increase quality assurance, and improve code design for testability. Automating tests through continuous integration is recommended to efficiently run tests on new code commits and catch errors early. Test-driven development is introduced as a practice of writing tests before code to ensure all tests initially fail and the code is developed to pass the tests.
This document discusses unit and integration testing. It begins by explaining the benefits of testing, such as reducing bugs and allowing safe refactoring. It then describes different types of tests like unit, integration, and database tests. The document focuses on unit testing, explaining how to write and organize unit tests using PHPUnit. It provides examples of test assertions and annotations. It also covers mocking and stubbing dependencies. Finally, it discusses challenges like testing code that relies on external components and provides strategies for database testing.
This document provides an overview of test-driven development (TDD). It defines TDD as a technique for building software where tests are written before code to guide development. The key aspects of TDD covered are:
- Writing tests first before code, which helps improve design and ensures tests are written.
- The TDD mantra of Red-Green-Refactor, where tests initially fail (Red), code is written to pass tests (Green), then code is refactored to improve design.
- An example case study of a large Java project developed using TDD that has over 20,000 lines of unit tests providing over 90% test coverage.
Unit testing involves individually testing small units or modules of code, such as functions, classes, or programs, to determine if they are fit for use. The goal is to isolate each part of a program and verify that it works as intended, helps reduce defects early in the development process, and improves code design. Unit testing is typically done by developers to test their code meets its design before integration testing.
This document summarizes unit testing done for core methods using the NUnit testing framework integrated with Jenkins. It discusses the testing framework used, naming conventions for test cases, the Arrange Act Assert pattern for writing test cases, sample test cases, goals of unit testing, and concludes with a demonstration and Q&A. A total of 496 test cases were written to test 6 core methods.
This document provides an overview of test automation using Cucumber and Calabash. It discusses using Cucumber to write automated test specifications in plain language and Calabash to execute those tests on Android apps. It outlines the environments, tools, and basic steps needed to get started, including installing Ruby and DevKit, creating Cucumber feature files, and using Calabash APIs to automate user interactions like tapping, entering text, and scrolling. The document also explains how to run tests on an Android app and generate an HTML report of the results.
The document discusses unit testing and its benefits and limitations. It notes that while tests provide confidence that code works as intended, they cannot prevent all problems. The Boeing 737 MAX crashes are discussed as an example of issues despite passing tests due to sensor problems. Proper unit testing involves automated, repeatable, and continuous testing of isolated units with mocked dependencies. Test-driven development and design can lead to more testable and maintainable code, but tests also have costs and limitations.
The document discusses best practices for unit testing code. It defines what a unit test is and explains why unit testing is important for finding bugs early and increasing quality assurance. It provides terminology around unit testing, including definitions of test-driven development, test fixtures, assertions, and mocks. The document outlines several best practices for writing unit tests, such as making tests consistent, atomic, single responsibility, self-descriptive, and separating tests by business module and type. It also advises not including conditional logic, loops, exception handling, or test logic in production code.
Unit testing involves writing code to test individual units or components of an application to ensure they operate as expected. Unit tests act as specifications for code and help produce better, more readable and maintainable code. An effective unit test has one test class per code class, runs tests in isolation, has clear and descriptive names from a user perspective, and asserts a single outcome per test. Tools like mocking frameworks can help with unit testing by injecting dependencies and states. Unit tests should focus on testing logic and not user interfaces.
This document discusses software engineering and software testing. Software engineering is concerned with developing large software through applying engineering principles. The challenge is to produce high quality software within budget and schedule constraints. Software testing is the process of finding errors in software and involves both manual and automated testing. Different types of testing include unit, integration, system, and acceptance testing. The goal of testing is to uncover defects early and reduce costs.
Unit testing involves testing individual units or components of code to ensure they work as intended. It focuses on testing functional correctness, error handling, and input/output values. The main benefits are faster debugging, easier integration testing, and living documentation. Guidelines for effective unit testing include writing automated, independent, focused tests that cover boundaries and are easy to run and maintain.
The document discusses various aspects of unit testing including definitions, benefits, naming standards, and best practices. It provides definitions for terms like error, defect, failure. It outlines the benefits of unit testing like finding bugs early, enabling code refactoring. It discusses what should be tested like boundaries, error conditions. It also provides examples of good test names and guidelines for structuring and naming unit tests.
The document discusses various aspects of unit testing including definitions, benefits, naming standards, and best practices. It provides definitions for terms like error, defect, failure. It outlines the benefits of unit testing like finding bugs early, enabling code refactoring. It discusses what should be tested like boundaries, error conditions. It also provides examples of good test names and guidelines for structuring and naming unit tests.
The document discusses unit testing and provides guidance on effective unit testing practices. It defines key terms like error, defect, and failure. It outlines the benefits of unit testing like finding defects earlier and maintaining stable code. It discusses naming conventions and frameworks for unit tests. It provides examples of different types of unit tests and guidelines for writing good unit tests that are independent, fast, and test all functionality. The document emphasizes testing boundary conditions and errors as well as documenting test cases.
Making the Unstable Stable - An Intro To TestingCameron Presley
Does it always seem like bugs you've fixed keep coming back? Does it seem like when you fix one bug, two more crop up? What if I were to tell you there's a better way?
In this presentation, we're going to explore how to make a code base more stable by using automated testing. To start, we'll explore the business case of why you should be writing tests by looking at industry studies and personal experience. From there, we'll look at the fundamentals of testing by talking about the pros/cons of unit, integration, and UI testing. Finally, we'll look at some resources to learn how to write tests.
Intended for developers who are new to testing, by the end of this presentation, you will understand why you should write tests, and will have the concepts and tools to get started.
Prerequisites
Some knowledge with an Object-Oriented language would be beneficial, but not required.
This was a workshop given on the UTN University, for the Software Engineering students. The idea is to give a brief explanation about TDD, and how to use it.
Software construction is an exercise in managing complexity, more so with the spiralling complexity required by modern games. Automated Testing is an industry proven methodology to deliver more reliable complex software, with a fighting chance to do it on time and on budget. And having fun doing so. Crytek is spearheading this idea in the game industry with its flagship title, and now sharing the experience with you: best practices, potential pitfalls, To-Do’s and No-No’s will be shown with real examples of unit testing game code using its proprietary testing framework and tools. Functional Testing and acceptance testing will also be touched on as a viable way of describing and checking game design requirements. And take automated testing to the next level.
Ever tried doing Test First Test Driven Development? Ever failed? TDD is not easy to get right. Here's some practical advice on doing BDD and TDD correctly. This presentation attempts to explain to you why, what, and how you should test, tell you about the FIRST principles of tests, the connections of unit testing and the SOLID principles, writing testable code, test doubles, the AAA of unit testing, and some practical ideas about structuring tests.
The document outlines an upcoming programming workshop that will cover various JetBrains IDEs like PyCharm, IntelliJ IDEA, and PhpStorm. It then discusses Test Driven Development (TDD), including what TDD is, the development cycle used in TDD, and benefits like encouraging simple designs and confidence. Different types of software tests are also listed like unit tests, integration tests, acceptance tests, and others. Specific testing techniques like unit testing, integration testing using bottom-up and top-down approaches, and acceptance testing are then explained at a high level. Finally, some important notes on testing like trusting tests and prioritizing maintainability are provided.
The document discusses why software developers should use FlexUnit, an automated unit testing framework for Flex and ActionScript projects. It notes that developers spend 80% of their time debugging code and that errors found later in the development process can cost 100x more to fix than early errors. FlexUnit allows developers to automate unit tests so that tests can be run continually, finding errors sooner when they are cheaper to fix. Writing automated tests also encourages developers to write better structured, more testable and maintainable code. FlexUnit provides a testing architecture and APIs to facilitate automated unit and integration testing as well as different test runners and listeners to output test results.
Data flow analysis is a type of static code analysis that examines how values are propagated through a program. It is more effective than pattern matching or regular static analysis at finding defects related to interactions between methods and classes that may be difficult to uncover through testing alone. Static analysis tools using data flow analysis can simulate execution paths to detect potential issues without requiring the code to be compiled and run. Developers are encouraged to use static testing tools to catch defects early in development, as prevention of bugs is more efficient than finding and fixing them later.
Testes? Mas isso não aumenta o tempo de projecto? Não quero...Comunidade NetPonto
Os Testes são cada vez mais uma necessidade nos projectos de desenvolvimento de software... Sejam eles unitários, de carga ou de "User Interface", uma boa framework de testes ajuda a resolver os problemas mais cedo, de forma mais eficaz e mais barata.
No final da sessão vamos perceber não só para que servem, como são feitos e como o Visual Studio 2010 pode ajudar.
Llevo cierto tiempo profundizando en tratar de entender por qué muchas organizaciones o equipos no consiguen sacarle partido a la automatización del testing. Todos conocemos de sobra la pirámide de tests descrita por Mike Cohn en su libro “Succeeding with Agile” en la que describe lo importante que es tener un balance adecuado entre tests end-to-end, tests de integración y tests unitarios. Existen cientos de artículos hablando sobre esto y está claro que la teoría tanto la conocemos como la compartimos pero, ¿cómo podemos llevarla a cabo? La clave está en conseguir hacer unos buenos tests unitarios.
En esta charla compartiré de forma gráfica, con ejemplos sencillos, números y referencias la manera de conseguir que tus tests unitarios no sólo te ayuden a mejorar la calidad interna del producto, sino también su calidad externa y, por lo tanto, consigas un retorno de la inversión (ROI) que lo haga sostenible.
assertYourself - Breaking the Theories and Assumptions of Unit Testing in Flexmichael.labriola
This document discusses automated testing in Flex. It begins by explaining why automated testing is important, such as reducing costs from software errors and allowing developers to change code without fear of breaking other parts of the project. It then covers topics like writing unit tests, using theories and data points to test over multiple values, and writing integration tests. The document emphasizes that writing testable code is key, and provides some principles for doing so, such as separating construction from application logic and using interfaces. It also discusses using fakes, stubs and mocks to isolate units for testing.
This document provides an introduction to unit testing using the NUnit framework. It defines unit testing as developer tests that validate code works as expected. Unit tests are part of the construction cycle and sit between technical design and QA testing in the software development lifecycle. Benefits of unit testing include early defect detection, better code design, regression protection, and learning new APIs. The document then describes NUnit attributes that mark test fixtures and methods. It also covers NUnit assertions for verification. Examples are provided of test-driven development and using NUnit for continuous integration.
Unit testing, UI testing and Test Driven Development in Visual Studio 2012Jacinto Limjap
Unit testing, UI testing, and test-driven development (TDD) are explained. Unit testing tests individual units/blocks of code, UI testing automates user interactions, and TDD uses tests to design software. Visual Studio 2012 focuses the testing experience on developers with improvements to Microsoft Test (MS-Test) framework, support for additional frameworks like NUnit and Selenium, and features like continuous testing and code coverage analysis. Demo shows how to do UI testing with Selenium and practice TDD.
This is a presentation given at the Hangzhou Scrum Forum 2009, sponsored by Perficient, China. The topic is how to incorporate automated functional testing into an agile project, and also some best practices, tips, and warnings.
www.perficient.com
This document discusses test driven development (TDD) and automation for PHP projects. It covers what TDD is, why it should be done, where tests should run, who should adopt TDD, and why unit testing, code coverage, code sniffing and Selenium are important. It also discusses tools for PHP TDD like Xdebug, PHPUnit, PHP_CodeSniffer and IDEs. The document provides examples of writing test cases with the red-green-refactor process and integrating TDD into a build system with automated testing on every code change.
GlobalLogic Test Automation Online TechTalk “Test Driven Development as a Per...GlobalLogic Ukraine
16 грудня 2021 року відбувся GlobalLogic Test Automation Online TechTalk “Test Driven Development as a Personal Skill”! Анатолій Сахно (Software Testing Consultant, GlobalLogic) розібрав принципи TDD (розробки, керованої тестами) та приклади їх застосування. Крім того, поговорили про:
- Ефективне використання модульних тестів у повсякденних задачах;
- Використання TDD при розробці тестових фреймворків;
- Застосування принципів TDD при написанні функціональних автотестів.
Більше про захід: https://www.globallogic.com/ua/about/events/globallogic-test-automation-online-techtalk-test-driven-development-as-a-personal-skill/
Приємного перегляду і не забудьте залишити коментар про враження від TechTalk!
Ця активність — частина заходів в рамках GlobalLogic Test Automation Advent Calendar, ще більше заходів та цікавинок за посиланням: https://bit.ly/AdventCalendar_fb
Unit testing patterns for concurrent codeDror Helper
Getting started with unit testing is not hard, the only problem is that most programs are more than a simple calculator with two parameters and a returns value that is easy to verify. Writing unit tests for multi-threaded code is harder still. Over the years I discovered useful patterns that helped me to test multi-threaded and asynchronous code and enabled the creation of deterministic, simple and robust unit tests. Come learn how to test code that uses concurrency and parallelism – so that the excuses of not writing unit tests for such code would become as obsolete as a single core processors.
The secret unit testing tools no one ever told you aboutDror Helper
There are more to unit testing than using a unit testing framework - in order to succeed you want to use the right tools for the job. There are a few tools that almost no one talks about - some enabling creating of top-notch, robust unit tests. Some will help you run your tests better and faster. In this session I'll explain about the inevitable maintainability problems developers face when writing and maintaining huge unit testing suits and how unit level BDD, AutoMocking, and Continuous Execution can help take control over your tests.
Debugging with visual studio beyond 'F5'Dror Helper
Debugging is part of any development process, but unfortunately it’s never planned or expected. On top of that, it’s rarely approached in a structured way, and while many modern IDEs have powerful debugging tools – most developers are not aware of how they can be used to reduce the time and pain of debugging. The whole act of debugging is done as an ad-hoc, time consuming activity, which is considered less interesting then developing new features or investigating the latest and greatest technology. But while there are many articles and productivity tools aimed at writing better code – faster, it seems as though it’s impossible to find resources that teach you how to effectively debug your code. In this lecture, we will discuss how to approach a debugging session, and show the latest power debugging capabilities Visual Studio has to offer. These will help you save time and pain by first understanding the problem and then fixing the bug that caused it.
Every software developer enjoys finding new and clever ways to solve problems. Writing code using his/her wits, intelligent and creativity. However, sometimes being too clever can lead to hard to track bugs, maintainability issues and impossible to understand code. Is all cleverly written code good code, or is it a problem just waiting to happen? In this session, I will show you real world examples of cleverly written code. And show you how we can use clean code principles, refactoring and design patterns, to transform that code from clever code to good code – one that your peers and future self would thank you for writing.
Part of the software developer job is to find new and better ways to solve problems. Writing code using his/her wits, intelligent and creativity.
However, sometimes being too clever can lead to hard to track bugs, maintainability issues and impossible to understand code. Is all cleverly written code good code, or is it a problem just waiting to happen?
In this session, I will show you real world examples of cleverly written code. And show you how we can use clean code principles, refactoring and design patterns, to transform that code from clever code to good code, code one that your peers - and future self - would thank you for writing.
A software developer guide to working with awsDror Helper
This document provides guidance for software developers working with AWS. It begins by recommending steps for getting started with AWS, including creating an AWS account and user, and not using the root account for security. It then discusses considerations for deciding on compute types, networking configurations, architecture for high availability, storage and database options, and how to test services locally before deploying to AWS. The document demonstrates calling AWS services from code and provides resources for learning more about AWS services and costs.
The secret unit testing tools no one has ever told you aboutDror Helper
There are more to unit testing than using a unit testing framework - in order to succeed you want to use the right tools for the job. There are a few tools that almost no one talks about - some enabling creating of top-notch, robust unit tests. Some will help you run your tests better and faster.
In this session I'll explain about the inevitable maintainability problems developers face when writing and maintaining huge unit testing suits and how unit level BDD, AutoMocking, and Continuous Execution can help take control over your tests.
In Agile development, architects still play an important role by setting constraints and principles to provide guidance and boundaries for development teams. While Agile values working software over documentation, architects can document architecture decisions and provide guidance through code examples. On Agile teams, the architect acts as an owner who facilitates architectural decisions, explores new technologies, and evolves the architecture over time based on learnings. The architect also helps align development across teams when needed.
Harnessing the power of aws using dot net coreDror Helper
In the past AWS and C# seemed to belong to two different eco-systems. One was a leading cloud platform while the other a widely used, powerful programming platform.
Does it mean that a developer that needs to provide a solution in the cloud must choose between the two? Not anymore.
In this talk, I will show how to write C# code that runs in a dockerized container in the cloud or as an AWS Lambda and harness, the popular AWS services.
Developing multi-platform microservices using .NET coreDror Helper
In the past, C# developers’ could only look in envy as the world moved to container based micro services and cloud deployment – until now.
With the new ASP.NET Core a C# developer can write REST based microservices using the latest and greatest Visual Studio and deploy them in a different OS - or the cloud using Docker, quickly and effortlessly.
Harnessing the power of aws using dot netDror Helper
In the past AWS and C# seemed to belong to two different eco-systems. One was a leading cloud platform while the other a widely used, powerful programming platform.
Does it mean that a developer that needs to provide a solution in the cloud must choose between the two? Not anymore.
In this talk, I will show how to write C# code that runs in a dockerized container in the cloud or as an AWS Lambda and harness, the popular AWS services.
Secret unit testing tools no one ever told you aboutDror Helper
There are more to unit testing than using a unit testing framework – in order to succeed you want to use the right tools for the job. There are a few tools that almost no one talks about – some enabling creating of top-notch, robust unit tests. Some will help you run your tests better and faster.
In this session I’ll explain about the inevitable maintainability problems developers face when writing and maintaining huge unit testing suits and how unit level BDD, AutoMocking, and Continuous Execution can help take control over your tests.
C++ Unit testing - the good, the bad & the uglyDror Helper
C++ is a powerful language when used by a seasoned developer. It is being used everywhere from operating systems and compilers to cross platform mobile apps development.
But this power comes with a cost - C++ programming is not simple nor easy – with memory leaks, stack overflows and strange exceptions, a software developer needs all of the power he can use.
By harnessing the power of unit tests a software developer can find defects quickly, avoid regression and speed up development time.
In this talk I’ll show how to use the right unit testing tools and practices available that will help you get your C++ code under control and even test legacy code which no one ever want to touch.
The document discusses strategies for working with legacy C++ code, including gaining control over legacy code through iterative refactoring while ensuring existing functionality is maintained. It emphasizes learning what the code does, making sure it continues functioning properly, and making gradual improvements. Specific techniques mentioned include writing tests, creating fake objects to inject into code under test instead of real dependencies, and using templates or friendship to fake classes that are otherwise difficult to mock.
Visual Studio tricks every dot net developer should knowDror Helper
Debugging is hard - this is a fact of life. Unfortunately, it’s never planned nor expected. It takes too much time, time we could have spent doing cool stuff - like developing new features for our customers.
But while there are many articles and productivity tools aimed at writing better code – faster, it seems as though it’s impossible to find resources that teach you how to effectively debug your code.
In this talk we’ll explore Visual Studio’s more powerful but lesser known debugging capabilities. We’ll also showcase OzCode and explain how it helps finding and fixing bugs faster.
There is more to unit testing than using a unit testing framework. In order to succeed you want to use the right tools for the job. There are a few tools that almost no one talks about – some enabling the creation of top-notch, robust unit tests; some will help you run your tests better and faster.
In this session, Dror will explain about the inevitable maintainability problems developers face when writing and maintaining huge unit testing suits, and how unit level BDD, AutoMocking and Continuous Execution can help take control over your tests.
Electronics 101 for software developersDror Helper
These days it seems as if everybody talks about the internet of things (IoT). With a cheap Arduino, Raspberry PI (or another microcontroller) every developer has the power to control the real world.
Suddenly confronted with resistors, digital inputs, analog interfaces and a weird bread board full of holes – a developer is reminded that the world of hardware can be confusing and sometimes downright frustrating.
TDD, BDD, ATDD are all methodologies that enable incremental design that is suitable for Agile environments. It seems that every day a new xDD methodology is born with the promise to be better than what came before. Should you use behaviour-driven tests or plain old unit tests? Which methodology is better? And how exactly would it benefit the development life cycle?
In this session, Dror will help to sort out the various methodologies – explaining where they came from, the tools they use, and discussing how and when to use each one. Here we will once and for all answer the question as to whether or not there’s one “DD” to rule them all.
This document discusses best practices for writing unit tests. It emphasizes that unit tests should be easy to understand, trustworthy, and robust. A good unit test only fails if a bug is introduced or requirements change. The document provides examples of well-written unit tests and discusses how to avoid common problems like fragile tests. It stresses the importance of testing only specified functionality, using isolation frameworks to mock dependencies, and not putting test logic in the test. Overall, the document promotes writing "clean tests" to avoid brittle tests and minimize maintenance overhead.
This document introduces WinDbg, a debugger tool that can be used for post mortem crash analysis, memory leak detection, and deadlock discovery. It discusses how to load crash dumps and symbols, and provides an overview of basic commands like listing processes and threads. Crash analysis commands for .NET like !analyze, !printexception, and !clrstack are presented. Commands for investigating memory issues like !dumpheap and !gcroot are also highlighted. The document concludes with discussing deadlock detection using commands like !dlk and !mwaits.
AI and Data Privacy in 2025: Global TrendsInData Labs
In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy.
This infographic contains:
-AI and data privacy: Key findings
-Statistics on AI data privacy in the today’s world
-Tips on how to overcome data privacy challenges
-Benefits of AI data security investments.
Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.
Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55
We’re bringing the TDX energy to our community with 2 power-packed sessions:
🛠️ Workshop: MuleSoft for Agentforce
Explore the new version of our hands-on workshop featuring the latest Topic Center and API Catalog updates.
📄 Talk: Power Up Document Processing
Dive into smart automation with MuleSoft IDP, NLP, and Einstein AI for intelligent document workflows.
What is Model Context Protocol(MCP) - The new technology for communication bw...Vishnu Singh Chundawat
The MCP (Model Context Protocol) is a framework designed to manage context and interaction within complex systems. This SlideShare presentation will provide a detailed overview of the MCP Model, its applications, and how it plays a crucial role in improving communication and decision-making in distributed systems. We will explore the key concepts behind the protocol, including the importance of context, data management, and how this model enhances system adaptability and responsiveness. Ideal for software developers, system architects, and IT professionals, this presentation will offer valuable insights into how the MCP Model can streamline workflows, improve efficiency, and create more intuitive systems for a wide range of use cases.
HCL Nomad Web – Best Practices und Verwaltung von Multiuser-Umgebungenpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-und-verwaltung-von-multiuser-umgebungen/
HCL Nomad Web wird als die nächste Generation des HCL Notes-Clients gefeiert und bietet zahlreiche Vorteile, wie die Beseitigung des Bedarfs an Paketierung, Verteilung und Installation. Nomad Web-Client-Updates werden “automatisch” im Hintergrund installiert, was den administrativen Aufwand im Vergleich zu traditionellen HCL Notes-Clients erheblich reduziert. Allerdings stellt die Fehlerbehebung in Nomad Web im Vergleich zum Notes-Client einzigartige Herausforderungen dar.
Begleiten Sie Christoph und Marc, während sie demonstrieren, wie der Fehlerbehebungsprozess in HCL Nomad Web vereinfacht werden kann, um eine reibungslose und effiziente Benutzererfahrung zu gewährleisten.
In diesem Webinar werden wir effektive Strategien zur Diagnose und Lösung häufiger Probleme in HCL Nomad Web untersuchen, einschließlich
- Zugriff auf die Konsole
- Auffinden und Interpretieren von Protokolldateien
- Zugriff auf den Datenordner im Cache des Browsers (unter Verwendung von OPFS)
- Verständnis der Unterschiede zwischen Einzel- und Mehrbenutzerszenarien
- Nutzung der Client Clocking-Funktion
Andrew Marnell: Transforming Business Strategy Through Data-Driven InsightsAndrew Marnell
With expertise in data architecture, performance tracking, and revenue forecasting, Andrew Marnell plays a vital role in aligning business strategies with data insights. Andrew Marnell’s ability to lead cross-functional teams ensures businesses achieve sustainable growth and operational excellence.
Artificial Intelligence is providing benefits in many areas of work within the heritage sector, from image analysis, to ideas generation, and new research tools. However, it is more critical than ever for people, with analogue intelligence, to ensure the integrity and ethical use of AI. Including real people can improve the use of AI by identifying potential biases, cross-checking results, refining workflows, and providing contextual relevance to AI-driven results.
News about the impact of AI often paints a rosy picture. In practice, there are many potential pitfalls. This presentation discusses these issues and looks at the role of analogue intelligence and analogue interfaces in providing the best results to our audiences. How do we deal with factually incorrect results? How do we get content generated that better reflects the diversity of our communities? What roles are there for physical, in-person experiences in the digital world?
Complete Guide to Advanced Logistics Management Software in Riyadh.pdfSoftware Company
Explore the benefits and features of advanced logistics management software for businesses in Riyadh. This guide delves into the latest technologies, from real-time tracking and route optimization to warehouse management and inventory control, helping businesses streamline their logistics operations and reduce costs. Learn how implementing the right software solution can enhance efficiency, improve customer satisfaction, and provide a competitive edge in the growing logistics sector of Riyadh.
Mobile App Development Company in Saudi ArabiaSteve Jonas
EmizenTech is a globally recognized software development company, proudly serving businesses since 2013. With over 11+ years of industry experience and a team of 200+ skilled professionals, we have successfully delivered 1200+ projects across various sectors. As a leading Mobile App Development Company In Saudi Arabia we offer end-to-end solutions for iOS, Android, and cross-platform applications. Our apps are known for their user-friendly interfaces, scalability, high performance, and strong security features. We tailor each mobile application to meet the unique needs of different industries, ensuring a seamless user experience. EmizenTech is committed to turning your vision into a powerful digital product that drives growth, innovation, and long-term success in the competitive mobile landscape of Saudi Arabia.
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
Procurement Insights Cost To Value Guide.pptxJon Hansen
Procurement Insights integrated Historic Procurement Industry Archives, serves as a powerful complement — not a competitor — to other procurement industry firms. It fills critical gaps in depth, agility, and contextual insight that most traditional analyst and association models overlook.
Learn more about this value- driven proprietary service offering here.
#StandardsGoals for 2025: Standards & certification roundup - Tech Forum 2025BookNet Canada
Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next.
Link to recording, transcript, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/
Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.
HCL Nomad Web – Best Practices and Managing Multiuser Environmentspanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-and-managing-multiuser-environments/
HCL Nomad Web is heralded as the next generation of the HCL Notes client, offering numerous advantages such as eliminating the need for packaging, distribution, and installation. Nomad Web client upgrades will be installed “automatically” in the background. This significantly reduces the administrative footprint compared to traditional HCL Notes clients. However, troubleshooting issues in Nomad Web present unique challenges compared to the Notes client.
Join Christoph and Marc as they demonstrate how to simplify the troubleshooting process in HCL Nomad Web, ensuring a smoother and more efficient user experience.
In this webinar, we will explore effective strategies for diagnosing and resolving common problems in HCL Nomad Web, including
- Accessing the console
- Locating and interpreting log files
- Accessing the data folder within the browser’s cache (using OPFS)
- Understand the difference between single- and multi-user scenarios
- Utilizing Client Clocking
DevOpsDays Atlanta 2025 - Building 10x Development Organizations.pptxJustin Reock
Building 10x Organizations with Modern Productivity Metrics
10x developers may be a myth, but 10x organizations are very real, as proven by the influential study performed in the 1980s, ‘The Coding War Games.’
Right now, here in early 2025, we seem to be experiencing YAPP (Yet Another Productivity Philosophy), and that philosophy is converging on developer experience. It seems that with every new method we invent for the delivery of products, whether physical or virtual, we reinvent productivity philosophies to go alongside them.
But which of these approaches actually work? DORA? SPACE? DevEx? What should we invest in and create urgency behind today, so that we don’t find ourselves having the same discussion again in a decade?
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...SOFTTECHHUB
I started my online journey with several hosting services before stumbling upon Ai EngineHost. At first, the idea of paying one fee and getting lifetime access seemed too good to pass up. The platform is built on reliable US-based servers, ensuring your projects run at high speeds and remain safe. Let me take you step by step through its benefits and features as I explain why this hosting solution is a perfect fit for digital entrepreneurs.
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager APIUiPathCommunity
Join this UiPath Community Berlin meetup to explore the Orchestrator API, Swagger interface, and the Test Manager API. Learn how to leverage these tools to streamline automation, enhance testing, and integrate more efficiently with UiPath. Perfect for developers, testers, and automation enthusiasts!
📕 Agenda
Welcome & Introductions
Orchestrator API Overview
Exploring the Swagger Interface
Test Manager API Highlights
Streamlining Automation & Testing with APIs (Demo)
Q&A and Open Discussion
Perfect for developers, testers, and automation enthusiasts!
👉 Join our UiPath Community Berlin chapter: https://community.uipath.com/berlin/
This session streamed live on April 29, 2025, 18:00 CET.
Check out all our upcoming UiPath Community sessions at https://community.uipath.com/events/.
5. The cost of bugs
Where does it hurt?
100%
The pain is here!
This is too late…
9
8
7
60%
6
5
40%
4
3
20%
2
1
0%
0
Requirements
Coding
Integration
% of Defects Introduced
Testing
Cost to Fix a Defect
Support
Thousand $s
% defects created
80%
10
6. When writing unit tests
Quick feedback
Am I writing the code right?
Am I’m writing the right thing?
Dependency & API analysis
Avoid stupid bugs
7. After writing a unit test
Immune to regression
Change your code without fear
Enable Rapid changes
In code documentation
8. What is a unit test?
Test specific functionality
Clear pass/fail criteria
Good unit test runs in isolation
9. This is a unit test
[TestMethod]
public void CheckPassword_ValidUser_ReturnTrue()
{
bool result = CheckPassword(“user”, “pass”);
Assert.IsTrue(result);
}
10. This is also a unit test
[Test]
public void CheckPassword_ValidUser_ReturnTrue()
{
bool result = CheckPassword(“user”, “pass”);
Assert.That(result, Is.True);
}
12. Arrange Act Assert
Divide the unit test into three parts:
[Test]
public void test() throws Exception
{
// Arrange
int first = 1;
int second = 2;
Calculator calc = new Calculator();
// Act
int result = calc.Add(first, Second);
// Assert
Assert.AreEquals(3, result);
}
13. Project structure
It is crucial to have a consistent naming convention:
For Project:
<project under test>Tests
or
<project under test>.UnitTests
<project under test>.IntegrationTests
For files (Test case):
<class under test>Tests
Example: CalculatorTests
Never have your test in the same project as your production code!
14. Test naming
Test names should be descriptive and explicit.
Test names should express a specific requirement
I like to use:
Method_Scenario_Expected
a.k.a
UnitOfWork_StateUnderTest_ExpectedBehavior
Public void Sum_NegativeNumberAs1stParam_ExceptionThrown()
Public void Sum_simpleValues_Calculated ()
Public void Parse_SingleToken_ReturnsEqualTokenValue ()
From: http://osherove.com/blog/2005/4/3/naming-standards-for-unit-tests.html
15. Test classification
Unit tests should be:
– Small
– Atomic
– Test a single functional unit
– Isolated!
Integration tests are used to test system wide functionality
19. Tools of the trade
Server
Build Server
Source Control
Build Script
Dev Machine
Unit Testing
Framework
Code
Coverage
Test Runner
Isolation
Framework
20. Continuous Integration Server
Build
What’s new?
Commit
There you go
Source Control
We automatically got
•Error reports & logs
•New version installer
•Help files
•More…
Build Agents
23. Development environment
• Make it easy to write and run tests
– Unit test framework
– Test Runner
– Isolation framework
• Know where you stand
– Code coverage
24. Unit test framework
Simplify the process of unit testing
Provide the following:
Control flow (attributes)
Signal success/failure (Assertions)
http://en.wikipedia.org/wiki/List_of_unit_testing_frameworks
25. Assertions
Throw exception when condition is false.
Easy to find:
Assert.X
StringAssert.X
CollectionAssert.X
New Syntax (Nunit):
Assert.That(x, Is.Equal(y));
32. Unit tests != TDD
• The purpose of a unit test is to test a unit of code in isolation
• TDD is used to drive the design of an application.
• used to express what application code should do before the
application code is actually written.
36. Writing Some Code
We begin with a clean slate
Write
new
test
Run
tests
Refactor
Run All
tests
Write
code
37. Writing Some Code
An exercise in futility…
Write
new
test
Run
tests
Refactor
Run all
tests
Write
code
38. Writing Some Code
Now we get our hands dirty
Write
new
Test
Run
tests
Refactor
Run all
tests
Write
code
39. Writing Some Code
Make sure everything’s fine…
Write
new
Test
Run
tests
Refactor
Run all
tests
Write
code
40. Writing Some Code
… and make it perform/look better
Write
new
test
Run
tests
Refactor
Run all
tests
Write
code
41. Writing Some Code
Lets take her out for another spin…
Write
new
Test
Run
tests
Refactor
Run all
tests
Write
code
42. Want to learn more
Check out the bowling kata:
http://www.objectmentor.com/resources/articles/xpepisode.htm
More TDD problems:
https://sites.google.com/site/tddproblems/all-problems-1
43. OK, Who Broke the Build?
• Something went horribly wrong!
– And it’s easy to find who to blame
– But it’s easy to find out what happened
• Why is this important?
– The project heartbeat
– Healthy build == easy to release
44. Too Much Spare Time
The foosball table
The build bunny
The Shooting of The Zombies
Helping children with computer skills
•
•
•
•