This document discusses unit testing, test-driven development (TDD), and acceptance test-driven development (ATDD). It begins with introductions and then discusses the importance of quality testing. It describes different types of tests including unit, integration, and acceptance tests. The bulk of the document focuses on explaining TDD and ATDD processes and benefits, including how they help improve code quality and design. It also addresses some limitations and challenges with applying these techniques.
The document discusses unit testing, test-driven development (TDD), and acceptance test-driven development (ATDD). It begins with an introduction to the speaker and describes the importance and benefits of learning TDD. Various types of tests are defined, including unit tests, integration tests, and user interface tests. The basics of unit testing, including test structure and using doubles, are explained. TDD and how it works in an iterative cycle of writing a failing test, code, and refactoring is covered. ATDD is introduced as a way to write the right code through specification by examples and acceptance tests. The benefits of ATDD for different roles are outlined.
The document summarizes ideas for refactoring legacy code, including safely refactoring procedural code, better testing with Groovy, and managing dependencies. It also discusses social challenges like morale and politics, and provides suggestions for starting refactoring efforts and overcoming obstacles like lack of time or traction. Refactoring techniques presented include extracting methods, dependency injection, and using static methods to reduce dependencies.
Need(le) for Speed - Effective Unit Testing for Java EEhwilming
Needle is a lightweight framework for testing Java EE components outside of the container in isolation. It reduces the test setup code by analysing dependencies and automatic injection of mock objects. It will thus maximize the speed of development as well as the execution of unit tests.
Testing, Learning and Professionalism — 20171214David Rodenas
Two hours talk about testing, its history, its meaning and propose, a small guide of good practices, and what it is supposed to be a good professional and what is expected from us the professionals.
(automatic) Testing: from business to university and backDavid Rodenas
This talk cares about the fundamentals of testing, a little bit history of how the professional community developed what we currently know as testing, but also about why I should care about testing? why is it important to do a test? What is important to test? What is not important to test? How to do testing?
There some examples in plnker just to see each step, and many surprises.
This talk also compares what people learned in the Computer Sciences and Engineering degrees and what people does in testing. It gives some tips to catch up with current state of art and gives some points to start changing syllabus to make better engineers.
This talk is good for beginners, teachers, bosses, but also for seasoned techies that just want to light up some of the ideas that they might have been hatching.
Spoiler alert: testing will save you development time and make you a good professional.
The document discusses unit testing in Java. It introduces the JUnit testing framework and describes unit testing methodology, including how to design testable code, write maintainable tests, and handle indirect inputs and outputs through stubs and mocks. The document provides guidance on test-driven development and testing legacy code. It contrasts unit testing with functional testing and discusses best practices for test granularity, assertions, and fixtures.
The document provides an overview of working with legacy code. It defines legacy code as code that is in production, functional, provides business value but is outdated, expensive to change, and lacks tests. It discusses challenges like complexity, high entropy, and roots of evil like dumb engineering decisions. It recommends examining the system, identifying pain points, creating a master plan with goals, and building a toolbox with techniques like automation and documentation. It provides dos and don'ts like reducing complexity, writing clear commits, and focusing on preventing issues rather than fixing them.
The document discusses unit testing, test-driven development (TDD), and acceptance test-driven development (ATDD). It begins with an introduction to the speaker and describes the importance and benefits of learning TDD. Various types of tests are defined, including unit tests, integration tests, and user interface tests. The basics of unit testing, including test structure and using doubles, are explained. TDD and how it works in an iterative cycle of writing a failing test, code, and refactoring is covered. ATDD is introduced as a way to write the right code through specification by examples and acceptance tests. The benefits of ATDD for different roles are outlined.
The document summarizes ideas for refactoring legacy code, including safely refactoring procedural code, better testing with Groovy, and managing dependencies. It also discusses social challenges like morale and politics, and provides suggestions for starting refactoring efforts and overcoming obstacles like lack of time or traction. Refactoring techniques presented include extracting methods, dependency injection, and using static methods to reduce dependencies.
Need(le) for Speed - Effective Unit Testing for Java EEhwilming
Needle is a lightweight framework for testing Java EE components outside of the container in isolation. It reduces the test setup code by analysing dependencies and automatic injection of mock objects. It will thus maximize the speed of development as well as the execution of unit tests.
Testing, Learning and Professionalism — 20171214David Rodenas
Two hours talk about testing, its history, its meaning and propose, a small guide of good practices, and what it is supposed to be a good professional and what is expected from us the professionals.
(automatic) Testing: from business to university and backDavid Rodenas
This talk cares about the fundamentals of testing, a little bit history of how the professional community developed what we currently know as testing, but also about why I should care about testing? why is it important to do a test? What is important to test? What is not important to test? How to do testing?
There some examples in plnker just to see each step, and many surprises.
This talk also compares what people learned in the Computer Sciences and Engineering degrees and what people does in testing. It gives some tips to catch up with current state of art and gives some points to start changing syllabus to make better engineers.
This talk is good for beginners, teachers, bosses, but also for seasoned techies that just want to light up some of the ideas that they might have been hatching.
Spoiler alert: testing will save you development time and make you a good professional.
The document discusses unit testing in Java. It introduces the JUnit testing framework and describes unit testing methodology, including how to design testable code, write maintainable tests, and handle indirect inputs and outputs through stubs and mocks. The document provides guidance on test-driven development and testing legacy code. It contrasts unit testing with functional testing and discusses best practices for test granularity, assertions, and fixtures.
The document provides an overview of working with legacy code. It defines legacy code as code that is in production, functional, provides business value but is outdated, expensive to change, and lacks tests. It discusses challenges like complexity, high entropy, and roots of evil like dumb engineering decisions. It recommends examining the system, identifying pain points, creating a master plan with goals, and building a toolbox with techniques like automation and documentation. It provides dos and don'ts like reducing complexity, writing clear commits, and focusing on preventing issues rather than fixing them.
This document summarizes an ATDD example using FitNesse, Selenium, and Java. It begins with background on the speaker and definitions of ATDD and TDD. It then provides examples of TDD tests in Java and how they map to ATDD acceptance criteria and tests in FitNesse using Selenium. The document concludes with discussing experiences using FitNesse in enterprise development and how it can reduce overhead compared to only using Java and JUnit for testing.
10 Typical Problems in Enterprise Java ApplicationsEberhard Wolff
This presentation shows some typical problems that you will find in far too many Enterprise Java Applications. It is the result of quite a few code reviews I did as a consultant.
There are different patterns that can be followed when taking steps in test-driven development (TDD). Some key step patterns include:
1. Defining application programming interfaces (APIs) by creating tests that define how classes will interact without implementations.
2. Introducing functionality incrementally by adding tests that induce small changes to functionality.
3. Testing exceptions by adding scenarios that cause exceptions to be thrown and validating expected behavior.
4. Consolidating features by combining tests of different functionalities to ensure integrated behavior.
Evolving a Clean, Pragmatic Architecture at JBCNConf 2019Victor Rentea
Are you in a mood for a brainstorm? Join this critical review of the major decisions taken in a typical enterprise application architecture and learn to balance pragmatism with your design goals. Find out how to do just-in-time design to keep as much use-cases as simple as possible. The core purpose of this presentation is to learn to strike a **balance between pragmatism and maintainability** in your design. Without continuous refactoring, a simple design will inevitably degenerate into a Big Ball of Mud, under the assault of the new features and bugfixes. On the other hand, very highly-factored code can burden the take-off of the development and end up freezing the mindset in some rigid 'a-priori' design. The end goal of this talk is to challenge you to rethink critically the architecture of your own systems, and seek ways to simplify it to match your actual needs, with a pragmatic mindset. "Architecture is the art of postponing decisions", said Uncle Bob. This talk takes this idea further and explains an optimal mindset about designing enterprise applications: Evolving (Continuously Refactoring) a Pragmatic (Simple), Clean (aka Onion) Architecture, aiming to provide Developer Safety™️ and Comfort™️. It’s the philosophy that Victor distilled over the past 5 years, designing and implementing 9 applications as IBM Lead Architect, and delivering trainings and advises to many other companies. You’ll learn how to break data into pieces (Fit Entities, Value Objects, Data Transfer Objects), how to keep the logic simple (Facades, Domain Services, logic extraction patterns, Mappers, AOP), layering to enforce boundaries (keeping DTOs out of your logic, Dependency Inversion Principle), and many more, all in a dynamic, interactive and extremely entertaining session.
This document summarizes key points about developer testing based on a presentation given by Vaidas Pilkauskas. It discusses 15 things to know about testing, including test phases (setup, exercise, verify, teardown), testing behavior not methods, using matchers for assertions, custom matchers, ignoring tests, exceptions, asynchronous code, controlling time in tests, collections, access modifiers, random values, number of assertions, test doubles, naming conventions, and comments. The overall message is that tests should have clear intentions, follow best practices like the single responsibility principle, and focus on testing public behavior rather than implementation details.
This document discusses unit testing in Java. It introduces unit testing and the JUnit framework. It explains how to set up a testing environment in Eclipse and describes best practices for writing unit tests. These include avoiding conditional logic and loops, using descriptive method and assertion names, and separating tests by type. Advantages of unit testing include speed, isolation, safety when refactoring, and serving as documentation. Disadvantages include potential high maintenance costs from unnecessary tests. Similar testing frameworks exist for other languages like C#, C++, and Python.
The document discusses Google Guice, an open source framework for Java that supports dependency injection. It provides examples of how to use Guice to inject dependencies into classes through field injection, method injection, and constructor injection. It also covers how to define modules to configure dependency bindings and scopes like singletons. The document is intended to introduce developers to the basics of using Guice for dependency injection in Java applications.
The SolidWorks API can automate your design simulations as easily as the building of the models. Your automation tools (even 3rd party apps) can integrate SolidWorks Simulation into the process with just a little bit of code and forward thinking. It's easier than you think.
This document summarizes a presentation on debugging XPages applications. It discusses debugging Java and SSJS code using debuggers in Domino Designer 9, activating the debuggers on the server and in code, starting debug sessions, using breakpoints and stepping through code. It also describes the XPage Debug Toolbar, an OpenNTF project that allows logging debug messages and inspecting application state without a server console.
This document provides an overview of GoogleMock, a mocking framework for C++. It defines what a mock object is and why they are useful for testing. GoogleMock allows specifying expectations for mock method calls, including how many times a method will be called and what it will return. It provides matchers to check arguments and actions to define return values or behaviors. The document demonstrates how to write mock classes, set expectations, and use mocks in tests to verify code interactions and behavior.
Sample Chapter of Practical Unit Testing with TestNG and MockitoTomek Kaczanowski
This is Chapter 10 of "Practical Unit Testing with TestNG and Mockito" book.
This is one of the last chapters which explains how to make your unit tests manageable, so they do not become a burden as the project develops and changes are introduced.
You can learn more about the book on http://practicalunittesting.com.
If you find yourself copying and pasting code from your build.gradle file every time you start a new project, then it's time you learn about Gradle Plugins. Come and learn what it takes to create a custom Gradle plugin for use in your Android/Java applications.
We're going to go over the following:
• Plugin Structure
• Key Components
• Testing
• Publishing
Walk away feeling empowered to create your own awesome plugins!
TDD is a design technique where tests are written before code to determine requirements. The Red-Green-Refactor process is followed: 1) Write a test that fails (red), 2) Write minimum code to pass the test (green), 3) Refactor code. TDD ensures quality, keeps code simple and testable, and allows for rapid change. Writing tests first helps design by clarifying requirements and preventing bugs.
KraQA #29 - Component level testing of react app, using enzymekraqa
The document discusses component level testing of a React application using Enzyme. It provides an overview of the company and project being tested, the test approach focusing on earlier testing to prevent bugs, and how testing is done in React. It then details Enzyme and how it can be used to render components, find elements, simulate user actions, and make assertions with Jest. Examples of unit, integration and snapshot tests are also provided. The summary discusses the pros and cons of this testing approach.
The document discusses Agile testing techniques for Swift including unit testing with XCTest and GUI testing with XCUI. It provides details on mocking with Cuckoo, API testing with Postman, integrating tests with Jenkins, and measuring quality with SonarQube. Sample code is shown for unit tests, API tests, and GUI tests of a sample ETAMock app. Continuous integration with Jenkins and SonarQube is demonstrated along with links for further information.
The Art of Unit Testing - Towards a Testable DesignVictor Rentea
Slides of the Talk I gave at Devoxx Belgium 2019.
=== Abstract ===
Focusing on the creative work without being terrified of breaking the existing behavior can make software development very addictive! Good automated tests can buy you that!
However, if your tests are not maintainable they may end up slowing you down and causing you painful headaches, compilation errors and spurious failures. To avoid that, your unit tests should be significant; expressive; clean; DRY; non-overlapping; and blazing fast. Writing good tests becomes the toughest challenge for any developer, no matter how battle-hardened: you need to balance risk with test maintenance costs, while looking out for test design smells that call for [risky] refactoring to drive your design towards a set of key principles (included:).
Principles that will end up shaping the way you craft the Production code itself. Because in the end, a good, clean design is more important than coverage%.
But testing gives you the best feedback to get there.
Grab a black coffee and join this snippet from Victor’s Pro Unit Testing #training, to learn about testing priorities, buggy tests, the shared @Before, Mocks vs Stubs and how to reduce them by "purifying" your logic, testing Legacy Code and refactoring @Spy-es out.
All of that in an entertaining, dynamic and memorable session.
Test-driven development (TDD) is a software development process that relies on the repetition of short development cycles called the TDD cycle. The TDD cycle involves first writing a test case that defines a desired improvement or new function, then producing code to pass that test and finally refactoring the new code to acceptable standards. The document discusses TDD training which includes topics like fixtures, assertion patterns, test quality and a case study. It motivates TDD by explaining how it helps build quality code, improves maintainability and meets client needs by focusing on internal and external quality. Key aspects of TDD like the AAA test format and strategies for selecting the next test are also covered. Finally, the document reviews evidence from case
This document provides an overview and agenda for learning about Junit, Mockito, PowerMock, and Hamcrest for testing purposes. It discusses the goal of becoming familiar with these frameworks and libraries. The agenda covers test structure, using Junit with Spring, Mockito stubs and behavior, PowerMock for private/static methods, and key aspects of unit testing like structure, style, and scope. It also provides examples of using Mockito and PowerMock to mock objects, methods, and interactions for testing.
The document discusses dependency injection, providing definitions and examples. It defines dependency as application layers depending on other layers or external components. Dependency injection manages these dependencies by allowing external code to fulfill dependencies at runtime rather than hard-coding fulfillment. The document outlines constructor, setter, and interface injection and describes configuration via annotations, XML, YAML, and PHP code. It provides examples of how dependency injection enables easy unit testing and configurable implementations.
The document discusses Acceptance Test Driven Development (ATDD), where acceptance tests are used to define requirements and drive the development process. It describes how ATDD works through a cycle of writing examples and tests, implementing features to pass the tests, and ensuring the tests continue to pass as changes are made. The benefits of ATDD include improved collaboration, a shared understanding of requirements, and preventing defects. Various tools that can be used for ATDD are also outlined, including FIT and Robot Framework. Adopting ATDD requires training, evangelism, and addressing organizational challenges through shared understanding.
Overview on TDD (Test Driven Development) & ATDD (Acceptance Test Driven Deve...Zohirul Alam Tiemoon
The document discusses Test-Driven Development (TDD) and Acceptance Test-Driven Development (ATDD). It defines TDD and ATDD, provides demos of applying each approach to building a calculator and pet shop application, and discusses how they help keep design simple. Tools for TDD/ATDD and who writes unit/acceptance tests are also covered, along with why the approaches are used.
This document summarizes an ATDD example using FitNesse, Selenium, and Java. It begins with background on the speaker and definitions of ATDD and TDD. It then provides examples of TDD tests in Java and how they map to ATDD acceptance criteria and tests in FitNesse using Selenium. The document concludes with discussing experiences using FitNesse in enterprise development and how it can reduce overhead compared to only using Java and JUnit for testing.
10 Typical Problems in Enterprise Java ApplicationsEberhard Wolff
This presentation shows some typical problems that you will find in far too many Enterprise Java Applications. It is the result of quite a few code reviews I did as a consultant.
There are different patterns that can be followed when taking steps in test-driven development (TDD). Some key step patterns include:
1. Defining application programming interfaces (APIs) by creating tests that define how classes will interact without implementations.
2. Introducing functionality incrementally by adding tests that induce small changes to functionality.
3. Testing exceptions by adding scenarios that cause exceptions to be thrown and validating expected behavior.
4. Consolidating features by combining tests of different functionalities to ensure integrated behavior.
Evolving a Clean, Pragmatic Architecture at JBCNConf 2019Victor Rentea
Are you in a mood for a brainstorm? Join this critical review of the major decisions taken in a typical enterprise application architecture and learn to balance pragmatism with your design goals. Find out how to do just-in-time design to keep as much use-cases as simple as possible. The core purpose of this presentation is to learn to strike a **balance between pragmatism and maintainability** in your design. Without continuous refactoring, a simple design will inevitably degenerate into a Big Ball of Mud, under the assault of the new features and bugfixes. On the other hand, very highly-factored code can burden the take-off of the development and end up freezing the mindset in some rigid 'a-priori' design. The end goal of this talk is to challenge you to rethink critically the architecture of your own systems, and seek ways to simplify it to match your actual needs, with a pragmatic mindset. "Architecture is the art of postponing decisions", said Uncle Bob. This talk takes this idea further and explains an optimal mindset about designing enterprise applications: Evolving (Continuously Refactoring) a Pragmatic (Simple), Clean (aka Onion) Architecture, aiming to provide Developer Safety™️ and Comfort™️. It’s the philosophy that Victor distilled over the past 5 years, designing and implementing 9 applications as IBM Lead Architect, and delivering trainings and advises to many other companies. You’ll learn how to break data into pieces (Fit Entities, Value Objects, Data Transfer Objects), how to keep the logic simple (Facades, Domain Services, logic extraction patterns, Mappers, AOP), layering to enforce boundaries (keeping DTOs out of your logic, Dependency Inversion Principle), and many more, all in a dynamic, interactive and extremely entertaining session.
This document summarizes key points about developer testing based on a presentation given by Vaidas Pilkauskas. It discusses 15 things to know about testing, including test phases (setup, exercise, verify, teardown), testing behavior not methods, using matchers for assertions, custom matchers, ignoring tests, exceptions, asynchronous code, controlling time in tests, collections, access modifiers, random values, number of assertions, test doubles, naming conventions, and comments. The overall message is that tests should have clear intentions, follow best practices like the single responsibility principle, and focus on testing public behavior rather than implementation details.
This document discusses unit testing in Java. It introduces unit testing and the JUnit framework. It explains how to set up a testing environment in Eclipse and describes best practices for writing unit tests. These include avoiding conditional logic and loops, using descriptive method and assertion names, and separating tests by type. Advantages of unit testing include speed, isolation, safety when refactoring, and serving as documentation. Disadvantages include potential high maintenance costs from unnecessary tests. Similar testing frameworks exist for other languages like C#, C++, and Python.
The document discusses Google Guice, an open source framework for Java that supports dependency injection. It provides examples of how to use Guice to inject dependencies into classes through field injection, method injection, and constructor injection. It also covers how to define modules to configure dependency bindings and scopes like singletons. The document is intended to introduce developers to the basics of using Guice for dependency injection in Java applications.
The SolidWorks API can automate your design simulations as easily as the building of the models. Your automation tools (even 3rd party apps) can integrate SolidWorks Simulation into the process with just a little bit of code and forward thinking. It's easier than you think.
This document summarizes a presentation on debugging XPages applications. It discusses debugging Java and SSJS code using debuggers in Domino Designer 9, activating the debuggers on the server and in code, starting debug sessions, using breakpoints and stepping through code. It also describes the XPage Debug Toolbar, an OpenNTF project that allows logging debug messages and inspecting application state without a server console.
This document provides an overview of GoogleMock, a mocking framework for C++. It defines what a mock object is and why they are useful for testing. GoogleMock allows specifying expectations for mock method calls, including how many times a method will be called and what it will return. It provides matchers to check arguments and actions to define return values or behaviors. The document demonstrates how to write mock classes, set expectations, and use mocks in tests to verify code interactions and behavior.
Sample Chapter of Practical Unit Testing with TestNG and MockitoTomek Kaczanowski
This is Chapter 10 of "Practical Unit Testing with TestNG and Mockito" book.
This is one of the last chapters which explains how to make your unit tests manageable, so they do not become a burden as the project develops and changes are introduced.
You can learn more about the book on http://practicalunittesting.com.
If you find yourself copying and pasting code from your build.gradle file every time you start a new project, then it's time you learn about Gradle Plugins. Come and learn what it takes to create a custom Gradle plugin for use in your Android/Java applications.
We're going to go over the following:
• Plugin Structure
• Key Components
• Testing
• Publishing
Walk away feeling empowered to create your own awesome plugins!
TDD is a design technique where tests are written before code to determine requirements. The Red-Green-Refactor process is followed: 1) Write a test that fails (red), 2) Write minimum code to pass the test (green), 3) Refactor code. TDD ensures quality, keeps code simple and testable, and allows for rapid change. Writing tests first helps design by clarifying requirements and preventing bugs.
KraQA #29 - Component level testing of react app, using enzymekraqa
The document discusses component level testing of a React application using Enzyme. It provides an overview of the company and project being tested, the test approach focusing on earlier testing to prevent bugs, and how testing is done in React. It then details Enzyme and how it can be used to render components, find elements, simulate user actions, and make assertions with Jest. Examples of unit, integration and snapshot tests are also provided. The summary discusses the pros and cons of this testing approach.
The document discusses Agile testing techniques for Swift including unit testing with XCTest and GUI testing with XCUI. It provides details on mocking with Cuckoo, API testing with Postman, integrating tests with Jenkins, and measuring quality with SonarQube. Sample code is shown for unit tests, API tests, and GUI tests of a sample ETAMock app. Continuous integration with Jenkins and SonarQube is demonstrated along with links for further information.
The Art of Unit Testing - Towards a Testable DesignVictor Rentea
Slides of the Talk I gave at Devoxx Belgium 2019.
=== Abstract ===
Focusing on the creative work without being terrified of breaking the existing behavior can make software development very addictive! Good automated tests can buy you that!
However, if your tests are not maintainable they may end up slowing you down and causing you painful headaches, compilation errors and spurious failures. To avoid that, your unit tests should be significant; expressive; clean; DRY; non-overlapping; and blazing fast. Writing good tests becomes the toughest challenge for any developer, no matter how battle-hardened: you need to balance risk with test maintenance costs, while looking out for test design smells that call for [risky] refactoring to drive your design towards a set of key principles (included:).
Principles that will end up shaping the way you craft the Production code itself. Because in the end, a good, clean design is more important than coverage%.
But testing gives you the best feedback to get there.
Grab a black coffee and join this snippet from Victor’s Pro Unit Testing #training, to learn about testing priorities, buggy tests, the shared @Before, Mocks vs Stubs and how to reduce them by "purifying" your logic, testing Legacy Code and refactoring @Spy-es out.
All of that in an entertaining, dynamic and memorable session.
Test-driven development (TDD) is a software development process that relies on the repetition of short development cycles called the TDD cycle. The TDD cycle involves first writing a test case that defines a desired improvement or new function, then producing code to pass that test and finally refactoring the new code to acceptable standards. The document discusses TDD training which includes topics like fixtures, assertion patterns, test quality and a case study. It motivates TDD by explaining how it helps build quality code, improves maintainability and meets client needs by focusing on internal and external quality. Key aspects of TDD like the AAA test format and strategies for selecting the next test are also covered. Finally, the document reviews evidence from case
This document provides an overview and agenda for learning about Junit, Mockito, PowerMock, and Hamcrest for testing purposes. It discusses the goal of becoming familiar with these frameworks and libraries. The agenda covers test structure, using Junit with Spring, Mockito stubs and behavior, PowerMock for private/static methods, and key aspects of unit testing like structure, style, and scope. It also provides examples of using Mockito and PowerMock to mock objects, methods, and interactions for testing.
The document discusses dependency injection, providing definitions and examples. It defines dependency as application layers depending on other layers or external components. Dependency injection manages these dependencies by allowing external code to fulfill dependencies at runtime rather than hard-coding fulfillment. The document outlines constructor, setter, and interface injection and describes configuration via annotations, XML, YAML, and PHP code. It provides examples of how dependency injection enables easy unit testing and configurable implementations.
The document discusses Acceptance Test Driven Development (ATDD), where acceptance tests are used to define requirements and drive the development process. It describes how ATDD works through a cycle of writing examples and tests, implementing features to pass the tests, and ensuring the tests continue to pass as changes are made. The benefits of ATDD include improved collaboration, a shared understanding of requirements, and preventing defects. Various tools that can be used for ATDD are also outlined, including FIT and Robot Framework. Adopting ATDD requires training, evangelism, and addressing organizational challenges through shared understanding.
Overview on TDD (Test Driven Development) & ATDD (Acceptance Test Driven Deve...Zohirul Alam Tiemoon
The document discusses Test-Driven Development (TDD) and Acceptance Test-Driven Development (ATDD). It defines TDD and ATDD, provides demos of applying each approach to building a calculator and pet shop application, and discusses how they help keep design simple. Tools for TDD/ATDD and who writes unit/acceptance tests are also covered, along with why the approaches are used.
This document discusses Acceptance Test Driven Development (ATDD). It begins by explaining that ATDD focuses on communication, collaboration, and building automated acceptance criteria to develop the right product. It then contrasts ATDD with traditional Test Driven Development, noting that while TDD ensures the code is developed correctly, ATDD ensures the correct product is developed. The document concludes by demonstrating ATDD in action using Cucumber, and discusses some challenges and anti-patterns of adopting ATDD.
Learn how Acceptance Test Driven Development (ATDD) provides the process for capturing detailed requirements as acceptance criteria and turn them into as test cases before development begins using Behavior Driven Development (BDD). The BDD approach and Gherkin format is the language used to create easy to understand and actionable scenarios that map from the functional level to the components and units. We will discuss the different approaches to TDD including a realistic approach leveraging BDD to a purest standpoint where TDD use the tests to drive the design of the application. Finally understand how the tools in Visual Studio and Team foundation Server to support BDD such as SpecFlow (Cucumber in .NET), Refactoring tools, and Test Cases in MTM.
ATDD is about improving communication between stakeholders to develop the right product. It involves collaboratively specifying requirements using examples of desired system behaviors in a testable format. These executable specifications are then automated as tests to prevent defects and ensure the system works as intended. SpecFlow is one framework that can be used to automate acceptance criteria written in a Given-When-Then style.
1. Acceptance Test Driven Development (ATDD) involves writing tests before code to validate requirements and prevent defects. The tests are written by a triad of customer, developer, and tester.
2. ATDD focuses on testing behavior and outcomes rather than internal code or data structures. Tests validate that the system meets requirements from an external perspective.
3. Acceptance tests follow a Given/When/Then structure where the Given sets up initial conditions, When performs an action, and Then verifies expected outcomes. ATDD shifts testing left in the development cycle.
Little productivity tools every developer should useDennis Doomen
During my last few talks I was surprised to learn how few developers are aware of the power of Microsoft OneNote, one of the products in the Microsoft Office suite. OneNote is an advanced digital notebook that I use for accessing my personal notes through SkyDrive or Office 365, as well as a shared notebook that agile teams use for keeping track of who is doing what. In fact, those who practice Test Driven Development will be surprised how essential OneNote is. In addition to OneNote, many other tools and add-ons exist that can really boost your productivity. Some you may know, some you don't. But do you already get the most out of tools like NuGet, GhostDoc, ReSharper, Notepad++, and many others? If you're in doubt, come check out my session. I'lI show you what I use to be as efficient as possible in my job as a professional developer.
Automated Testing and Continuous Integration for Mobile Apps: Jenkins & Cloud...SOASTA
Build, Test, Deploy Mobile Apps with a fully automated Continuous Intergration solution..in the Cloud...for free...
Kohsuke Kawaguchi, Jenkins creator, and Mark Prichard of CloudBees join SOASTA for a demos and discussion of CI for mobile in the cloud. From Nov. 15, 2012 webinar. (a repeat of Sept 27, 2012 webinar)
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help alleviate symptoms of mental illness and boost overall mental well-being.
The document discusses the garbage-collected teardown pattern. It describes how the pattern works by relying on garbage collection to clean up fixture objects rather than requiring explicit teardown code. It recommends using this pattern when fixtures contain transient objects or shared fixtures to ensure a fresh state between tests. Implementation notes cover using this pattern with test frameworks that reload classes between tests.
Negative testing is all about ensuring that a product or application under test does NOT fail when an unexpected input is being fed. The purpose of Negative testing is to break the system and to verify the application response during unintentional inputs.
How can parents talk to their children about a cancer diagnosis? Dana-Farber experts provide tips for having tough conversations with children at any age.
More information is available through Dana-Farber's Family Connections Program: http://www.dana-farber.org/Adult-Care/Treatment-and-Support/Patient-and-Family-Support/Family-Connections.aspx
Roy Osherove provides training courses on test-driven development (TDD), behavior-driven development (BDD), and consulting/coaching services. He teaches TDD techniques for JavaScript, Ruby, Java, C#, and EpiServer/MVC frameworks. He also offers leadership training through 5whys.com. His focus is on using TDD to drive development, influence design decisions, and enable incremental delivery and early feedback. He advocates for TDD when code will need to be maintained long-term or for minimum viable products, but not for proofs of concept or short-lived code.
TDD vs. ATDD - What, Why, Which, When & WhereDaniel Davis
This is a slide deck for a discussion about Test Driven Development (TDD) and Acceptance Test Driven Development (ATDD) and starting to explore the differences between them. Get some insight into why we use them and the advantages and disadvantages of both, as well as, get a better understanding of which should be used where and when. By the end of the session you should be well along the path to TDD vs. ATDD enlightenment.
Property based Testing - generative data & executable domain rulesDebasish Ghosh
- Property based testing verifies properties and invariants of code through automated generation of random test data rather than testing with specific hard-coded test cases. This helps uncover subtle bugs and edge cases.
- Key aspects include defining properties to specify constraints that must hold, using a library like ScalaCheck to generate random data and verify properties hold, and defining custom generators for domain-specific types.
- Properties can verify things like business rules of a domain model in a more abstract way compared to traditional unit tests.
NUnit is a unit testing framework for .NET that allows developers to write and run repeatable tests to determine whether code is functioning as intended. Key features of NUnit include support for multiple test assemblies and configuration files, attributes and assertions to structure tests and validate results, and the ability to group tests into categories and run them in isolated test environments using theories and data-driven approaches.
Model-based Testing: Taking BDD/ATDD to the Next LevelBob Binder
Slides from presentation at the Chicago Quality Assurance Association, February 25, 2014.
Acceptance Test Driven Development (ATDD) and Behavior Driven Development (BDD) are well-established Agile practices that rely on the knowledge and intuition of testers, product owners, and developers to identify and then translate statements into test suites. But the resulting test suites often cover only a small slice of happy-path behavior. And, as a BDD specification and its associated test code base grows over time, work to maintain it either crowds out new development and testing or, typically, is simply ignored. Either is high-risk. That’s how Agile teams get eaten by the testing BackBlob.Model Based Testing is a tool-based approach to automate the creation of test cases. This presentation will outline the techniques and benefits of MBT, and show how model-based testing can address both problems. A detailed demo of Spec Explorer, a free model-based testing tool shows how a model is constructed and used to create and maintain a test suite.
This document summarizes a talk on getting comfortable with behavior driven development (BDD). It begins by defining BDD and explaining that it builds on test driven development (TDD) by describing application behavior from an outside-in perspective with customer involvement. It then discusses that TDD focuses on writing tests first before code, using a red-green-refactor workflow. BDD further crystallizes requirements and ensures programmer priorities are aligned by implementing tests in business language rather than code. The document emphasizes thinking through requirements before writing code or tests to ensure the correct behavior is described and tested.
Clean code is code that is easy to read, understand and maintain. It has certain objective characteristics like having single responsibility, avoiding side effects and limiting parameters. Clean code favors small, pure functions over statements with side effects. Functional programming principles like immutability and avoiding null also contribute to clean code. Data structures should expose just data while objects encapsulate data and expose functions to operate on it. Overall clean code follows conventions that make the intent of the code clear.
Cleaner Code: How Clean Code is Functional CodeDave Fancher
Since 2008 Bob Martin's seminal work "Clean Code" has been teaching developers a series of guidelines for writing maintainable code and improving software quality. While several of the guidelines such as naming conventions and comment style are highly subjective, the astute reader will notice that the remaining guidelines are actually quite objective. All too often, following the Clean Code guidelines is mostly a matter of developer discipline. Let's discuss how those objective guidelines improve code quality, how they often naturally arise when programming in a functional style, and how many functional languages actively enforce them thus eliminating the need to rely on discipline and naturally eliminate the complexities they address.
How hard can it be testing your iOS apps? Is TDD a utopian scenario for you yet? That might be because of the architecture that you are using. During this talk, I explain how using the SOLID principles and a good architecture can help you to do real Test Driven Development. But don't worry, this talk is not only about theory, I point out some real examples of common problems when testing your apps and explain how the Clean Architecture and Swift come to the rescue in those scenarios.
You can watch the video here: https://www.youtube.com/watch?v=qYpURmZcCKs
The document discusses clean code principles such as writing code for readability by other programmers, using meaningful names, following the DRY principle of not repeating yourself, and focusing on writing code that is maintainable and changeable. It provides examples of clean code versus less clean code and emphasizes that code is written primarily for human consumption by other programmers, not for computers. The document also discusses principles like the Single Responsibility Principle and the Boy Scout Rule of leaving the code cleaner than how you found it. It questions how to measure clean code and emphasizes the importance of writing tests for code and refactoring legacy code without tests.
Presentation from JVMLS 2015
One bottleneck in the Nashorn JavaScript engine is startup time. Nashorn, as it works currently in Java 8, JITs everything to Java bytecode, accruing overhead in code generation and class installation. Nashorn in Java 9, can in unfortunate cases, increase this compilation workload significantly, as the new optimistic type system, which has greatly increased steady state performance, requires more code invalidation on warmup. Based on our optimistic type compilation framework, which contains all the mechanisms for quick code replacement and on stack replacement on the bytecode level, I will present the new execution architecture we are developing. It will minimizes compile time intelligently, while maintaining or possible even increasing code performance, due to extra profiling and execution frequency information being passed to the JIT. I will also talk about what the future will bring in terms of other dynamic languages on the Nashorn engine, partial method compilation of hot paths and other intriguing possibilities that our new execution model opens up.
Memory management in Swift is fairly abstracted away from you as a developer and it’s easy to build iOS apps without an understanding of it… until something goes wrong. This can result in unexpected behavior, unclear error messages, lost data and crashes. Even a basic understanding of memory management can go a long way, making it easy to prevent these issues in the first place, understand what when wrong when they do occur and know how to fix them.
The document discusses test-driven development (TDD) and refactoring. It provides examples of unit test fixtures, exercising the system under test (SUT), and verifying results. It also discusses refactoring code to remove smells like duplicated code through techniques like extracting methods. The goal is to use TDD to write code that works and is clean through small, incremental changes while ensuring it continues to work by passing all tests.
The document provides guidance on how to write PHP extensions in C. It discusses compiling extensions, writing tests, handling data types, using object-oriented features like classes, and documenting extensions. Key steps include setting up the build environment, adding basic scaffolding, writing tests, getting and returning data, and releasing extensions on PECL. Advanced topics covered are globals, memory management, custom objects, and thread safety. The document aims to explain the full process for writing reliable and well-integrated PHP extensions.
The document discusses Titanium and ways to improve the development experience through tools like TiShadow and Cornwall. TiShadow acts as a proxy for the Titanium SDK, allowing developers to code on any device by bundling, rewriting, and sending code to devices. Cornwall allows executing native Titanium code from the web by passing functions and data between the web and native contexts. These tools help developers code in Titanium on any device and more easily pass data and functions between the web and native worlds.
Since these presentations were spare time hobby - I've decided to share them :)
Hopefully someone will find them useful.
This part continues 1. part with more design patterns like Command, State, NullObject.
Building Concurrent WebObjects applications with ScalaWO Community
This document discusses using Scala for concurrent programming in WebObjects applications. It begins by explaining why concurrent programming is important due to increasing numbers of processor cores. It then discusses challenges with traditional threading and locks and introduces the actor model as an easier and more scalable approach using message passing. The document demonstrates how to build concurrent WebObjects applications using Scala actors for processing tasks like video encoding. It shows how properties can configure WebObjects for concurrent requests and how ERXEC provides thread safety. Benchmarks show the Scala actor approach outperforms traditional threading. The document argues that Scala is a powerful, safe and easy language for concurrent programming in WebObjects.
The main body of work related to supporting dynamic languages on the JVM at Oracle today is done within the Nashorn project. While on the surface it looks like we're busy creating a JavaScript runtime, in reality JavaScript is only the beginning, and not the ultimate goal. Nashorn has served as the proving ground for new approaches for implementing a dynamic language on top of the JVM, and we're eager to – once solidified – crystallize these into a reusable dynamic language implementer's toolkit. We have faced challenges of optimally mapping JavaScript local variables to JVM types (or: "hey, there's a static type inference algorithm in your dynamic language compiler"), doing liveness analysis, cutting up methods too large to fit into a single JVM method, efficiently representing large array and object literals in compiled code, creating a system for on-demand compilation of several type-specialized variants of the same function, and more. Along the way, we have reached the limits of our initial internal representation (fun fact: you can't do liveness analysis on an AST. We learned it the hard way.) and started sketching up an intermediate representation that would be easy to emit from a dynamic language compiler, and that could be taken over by a toolchain to perform the operations described above then on it and finally output standard Java bytecode for JIT to take over. Elevator pitch: like LLVM, but for dynamic languages on the JVM.
How do you design software when the requirements are vague? The key is to make it testable. In this talk, I've collected good practices, mindsets, and tools that will help you design high quality software even though the requirements are vague.
This document discusses Android automated testing. It defines automated testing as using separate software to control test execution and compare actual vs. expected outcomes. It provides information on different types of Android tests, including local unit tests that run on a machine and instrumentation tests that run on an emulator/device. It also gives tips on testing best practices like using the Arrange-Act-Assert pattern and focusing tests to be fast, isolated, repeatable, and self-validating.
The document discusses challenges in implementing a dynamic language like JavaScript on the Java Virtual Machine (JVM). Some key points:
- Nashorn is a JavaScript runtime written in Java that generates JVM bytecode, aiming to be 2-10x faster than previous solutions like Rhino.
- Compiling JavaScript to JVM bytecode is difficult as JavaScript has dynamic types, runtime changes, and number representations that don't map cleanly to Java's static types.
- Nashorn uses static analysis to infer types where possible and optimize for primitive number representations, but this only goes so far with JavaScript's dynamic nature.
- As JavaScript code changes, Nashorn may need to transition to more dynamic, adaptive and optimistic techniques
Over the past few years, web-applications have started to play an increasingly important role in our lives. We expect them to be always available and the data to be always fresh. This shift into the realm of real-time data processing is now transitioning to physical devices, and Gartner predicts that the Internet of Things will grow to an installed base of 26 billion units by 2020.
Reactive web-applications are an answer to the new requirements of high-availability and resource efficiency brought by this rapid evolution. On the JVM, a set of new languages and tools has emerged that enable the development of entirely asynchronous request and data handling pipelines. At the same time, container-less application frameworks are gaining increasing popularity over traditional deployment mechanisms.
This talk is going to give you an introduction into one of the most trending reactive web-application stack on the JVM, involving the Scala programming language, the concurrency toolkit Akka and the web-application framework Play. It will show you how functional programming techniques enable asynchronous programming, and how those technologies help to build robust and resilient web-applications.
Eric Lafortune - The Jack and Jill build systemGuardSquare
The document discusses the Jack and Jill build system introduced by Google to improve the Android build process. Jack and Jill compile Java code to an intermediate bytecode format called Jayce, allowing for faster builds and optimization. Key points:
- Jack and Jill have replaced the traditional Java compiler and Dalvik dexifier in the Android build tools, speeding up the build process.
- Jill can further optimize the Jayce bytecode, allowing for functionality like bytecode processing that was not possible with just Jack.
- Results have shown that Jack and Jill can reduce build times significantly and produce smaller, faster apps compared to the traditional build system.
Java pre-processing and annotations talk. How to do it? How it works? Why to do it?
Github code: https://github.com/luanpotter/annotation-preprocessing
https://github.com/luanpotter/reflection-utils
This document discusses Acceptance Test Driven Development (ATDD), an agile practice that focuses on collaboratively defining acceptance criteria for user stories before implementation. It notes that ATDD aims to eliminate bugs through early testing, refactoring, and obtaining fast feedback. The document outlines the benefits of ATDD such as preventing regression, fixing defects immediately, and enabling continuous learning. It also acknowledges some challenges to adopting ATDD and provides suggestions for coping with them, such as improving gradually and obtaining assistance.
Test Automation Maturity Model (Israel Test Automation meetup 12/11/2018)Arnon Axelrod
Just few years ago most people didn’t know a thing about test automation. Today most companies either use test automation or plan to start doing it soon. However, even companies that use test automation regularly often have a long way to go in order to realize the full potential of test automation. In this talk I’ll try to outline a typical evolution of the test automation in an organization in the way to realizing its full potential.
This is the presentation I gave at Sela on 29/10/2018. It covers the importance of clean code and refactoring skills to productivity and business value
This is the presentation I gave at Sela on 29/10/2018. It covers some best practices for writing clean code and for doing refactoring efficiently. It also describes some of Resharper's features for refactoring and code analysis.
This document summarizes a presentation on moving beyond the page object pattern for test automation. It discusses other design patterns like the singleton, template method, decorator, factory, and builder patterns that can be applied to test automation. It also covers principles like SOLID, 4ROSD, and Poka-Yoke that can help create simpler, more maintainable test code. The presentation argues that while page objects are useful, other patterns may be better suited depending on the needs of the automation and that testers should not feel restricted only to the page object pattern.
In the Israel Test Automation meetup meeting on July 10, 2017, I gave this presentation about the relationships between test automation and architecture, and its importance to the reliability of the tests.
Make sure to read the notes, as they contain more-or-less the spoken content.
The document discusses software quality and specification by example (SbE). It begins with defining quality and discussing why bugs occur. It then introduces SbE, describing how it can be used to collaboratively specify requirements through examples to derive automated tests and documentation. SbE benefits include improved communication, fewer bugs, and living documentation. The rest of the document provides examples of how to apply SbE, including through a simulation game, and discusses test scope and writing good automated acceptance tests.
The document provides an overview of C# and .NET concepts including:
- C# versions from 1.0 to 5.0 and new features introduced in each version such as generics, LINQ, lambda expressions etc.
- .NET Framework concepts such as Common Language Runtime (CLR), Just-In-Time (JIT) compilation, garbage collection.
- Value types vs reference types, stack vs heap memory.
- Language Integrated Query (LINQ) and expression trees.
- Various C# language concepts are demonstrated through code examples.
Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
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.
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.
UI5con 2024 - Bring Your Own Design SystemPeter Muessig
How do you combine the OpenUI5/SAPUI5 programming model with a design system that makes its controls available as Web Components? Since OpenUI5/SAPUI5 1.120, the framework supports the integration of any Web Components. This makes it possible, for example, to natively embed own Web Components of your design system which are created with Stencil. The integration embeds the Web Components in a way that they can be used naturally in XMLViews, like with standard UI5 controls, and can be bound with data binding. Learn how you can also make use of the Web Components base class in OpenUI5/SAPUI5 to also integrate your Web Components and get inspired by the solution to generate a custom UI5 library providing the Web Components control wrappers for the native ones.
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
WWDC 2024 Keynote Review: For CocoaCoders AustinPatrick Weigel
Overview of WWDC 2024 Keynote Address.
Covers: Apple Intelligence, iOS18, macOS Sequoia, iPadOS, watchOS, visionOS, and Apple TV+.
Understandable dialogue on Apple TV+
On-device app controlling AI.
Access to ChatGPT with a guest appearance by Chief Data Thief Sam Altman!
App Locking! iPhone Mirroring! And a Calculator!!
Flutter is a popular open source, cross-platform framework developed by Google. In this webinar we'll explore Flutter and its architecture, delve into the Flutter Embedder and Flutter’s Dart language, discover how to leverage Flutter for embedded device development, learn about Automotive Grade Linux (AGL) and its consortium and understand the rationale behind AGL's choice of Flutter for next-gen IVI systems. Don’t miss this opportunity to discover whether Flutter is right for your project.
Preparing Non - Technical Founders for Engaging a Tech AgencyISH Technologies
Preparing non-technical founders before engaging a tech agency is crucial for the success of their projects. It starts with clearly defining their vision and goals, conducting thorough market research, and gaining a basic understanding of relevant technologies. Setting realistic expectations and preparing a detailed project brief are essential steps. Founders should select a tech agency with a proven track record and establish clear communication channels. Additionally, addressing legal and contractual considerations and planning for post-launch support are vital to ensure a smooth and successful collaboration. This preparation empowers non-technical founders to effectively communicate their needs and work seamlessly with their chosen tech agency.Visit our site to get more details about this. Contact us today www.ishtechnologies.com.au
Everything You Need to Know About X-Sign: The eSign Functionality of XfilesPr...XfilesPro
Wondering how X-Sign gained popularity in a quick time span? This eSign functionality of XfilesPro DocuPrime has many advancements to offer for Salesforce users. Explore them now!
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
Unveiling the Advantages of Agile Software Development.pdfbrainerhub1
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
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
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תקנים דורשים Unit tests
לקוחות לא מקבלים "יש באגים"
המטרה של היום הזה: לענות על שאלות וחששות...
תשאלו ותתשתתפו – זה בשבילכם!
גם אני למדתי ככה
להגדיל
להזיז שמאלה את ה-happy customers
לחשוב מחדש
להעלות את הכותרות יותר למעלה
קידוד עד הרגע האחרון!
אין סטביליזיישן
לשנות צבע של המילה ולמרכז
A container for multiple unit tests
שקף נפרד על Testing the test first
שקף נפרד על Testing the test first
שקף נפרד על Testing the test first
* Refactoring זה בעיקר להוריד כפילויות
להחליף תמונה
TDD provides a safety net
Caution: If tests are bad, refactoring can be more difficult than without!
On the other hand, TDD drives for good tests
Small steps, climbers rule
להחליף תמונה
TDD provides a safety net
Caution: If tests are bad, refactoring can be more difficult than without!
On the other hand, TDD drives for good tests
Small steps, climbers rule
להחליף תמונה
TDD provides a safety net
Caution: If tests are bad, refactoring can be more difficult than without!
On the other hand, TDD drives for good tests
Small steps, climbers rule
להחליף תמונה
TDD provides a safety net
Caution: If tests are bad, refactoring can be more difficult than without!
On the other hand, TDD drives for good tests
Small steps, climbers rule
להחליף תמונה
TDD provides a safety net
Caution: If tests are bad, refactoring can be more difficult than without!
On the other hand, TDD drives for good tests
Small steps, climbers rule
להחליף תמונה
TDD provides a safety net
Caution: If tests are bad, refactoring can be more difficult than without!
On the other hand, TDD drives for good tests
Small steps, climbers rule
להחליף תמונה
TDD provides a safety net
Caution: If tests are bad, refactoring can be more difficult than without!
On the other hand, TDD drives for good tests
Small steps, climbers rule
להחליף תמונה
TDD provides a safety net
Caution: If tests are bad, refactoring can be more difficult than without!
On the other hand, TDD drives for good tests
Small steps, climbers rule
אין טעם להוסיף טסטים לכל הקוד שכבר כתוב
Detours (Moles) יכולים לעזור, וגם Pex