This session focuses on the principles of writing clean, maintainable, and efficient code in the context of test automation. The session will highlight the characteristics that distinguish good test automation code from bad, ultimately leading to more reliable and scalable testing frameworks.
This document discusses test automation, including the purpose of test automation, the test automation process, and the test automation pyramid. The key points are:
1. Test automation aims to improve test efficiency, provide wider test coverage, reduce costs, and speed up testing.
2. The test automation process involves defining the test scope, designing tests, coding tests, setting up the test environment, running tests, and maintaining automation over time.
3. The test automation pyramid illustrates that unit tests should form the base, as they are quick to write and run, while user interface tests are at the top as they are more complex and time-consuming.
Unit testing is a method where developers write code to test individual units or components of an application to determine if they are working as intended. The document discusses various aspects of unit testing including:
- What unit testing is and why it is important for finding defects early in development.
- Common unit testing techniques like statement coverage, branch coverage, and path coverage which aim to test all possible paths through the code.
- How unit testing fits into the software development lifecycle and is typically done by developers before handing code over for formal testing.
- Popular unit testing frameworks for different programming languages like JUnit for Java and NUnit for .NET.
The document provides examples to illustrate white box testing techniques
This document provides an overview of software testing concepts and best practices. It defines key terms like errors, defects, and failures. It describes different testing approaches like black box and white box testing. It also outlines different testing levels from unit to system testing. The document emphasizes that testing aims to find defects, but it's impossible to test all possibilities. It stresses the importance of test planning, test cases, defect reports, and regression testing with new versions.
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.
This document discusses definitions, principles, and best practices of test-driven development (TDD). It defines different types of TDD like test-oriented development, test-driven design, acceptance TDD, and developer TDD. The key principles of TDD discussed are red-green-refactor cycles, writing tests before code, and values like improved design, code quality, and maintenance. Guidelines around trustworthy, maintainable and readable unit tests are also provided.
Group #8, represented by Haris Jamil, discussed various types of software testing for their information technology project. They will review object-oriented analysis and design models, conduct class testing after coding, and integration testing within subsystems. The types of testing included are: object-oriented testing, requirement testing, analysis and design testing, code testing, user testing, integration tests, and system tests. Stages of requirement-based testing were defined as well as analysis testing, design testing techniques, code-based testing, integration testing strategies, system testing purposes, and user acceptance testing. Scenario-based testing was also explained.
This is the most important topic of OOAD named as Object Oriented Testing. It is used to prepare a good software which has no bug in it and it performs very fast. <a href="https://harisjamil.pro">Haris Jamil</a>
This document discusses test automation, including the purpose of test automation, the test automation process, and the test automation pyramid. The key points are:
1. Test automation aims to improve test efficiency, provide wider test coverage, reduce costs, and speed up testing.
2. The test automation process involves defining the test scope, designing tests, coding tests, setting up the test environment, running tests, and maintaining automation over time.
3. The test automation pyramid illustrates that unit tests should form the base, as they are quick to write and run, while user interface tests are at the top as they are more complex and time-consuming.
Unit testing is a method where developers write code to test individual units or components of an application to determine if they are working as intended. The document discusses various aspects of unit testing including:
- What unit testing is and why it is important for finding defects early in development.
- Common unit testing techniques like statement coverage, branch coverage, and path coverage which aim to test all possible paths through the code.
- How unit testing fits into the software development lifecycle and is typically done by developers before handing code over for formal testing.
- Popular unit testing frameworks for different programming languages like JUnit for Java and NUnit for .NET.
The document provides examples to illustrate white box testing techniques
This document provides an overview of software testing concepts and best practices. It defines key terms like errors, defects, and failures. It describes different testing approaches like black box and white box testing. It also outlines different testing levels from unit to system testing. The document emphasizes that testing aims to find defects, but it's impossible to test all possibilities. It stresses the importance of test planning, test cases, defect reports, and regression testing with new versions.
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.
This document discusses definitions, principles, and best practices of test-driven development (TDD). It defines different types of TDD like test-oriented development, test-driven design, acceptance TDD, and developer TDD. The key principles of TDD discussed are red-green-refactor cycles, writing tests before code, and values like improved design, code quality, and maintenance. Guidelines around trustworthy, maintainable and readable unit tests are also provided.
Group #8, represented by Haris Jamil, discussed various types of software testing for their information technology project. They will review object-oriented analysis and design models, conduct class testing after coding, and integration testing within subsystems. The types of testing included are: object-oriented testing, requirement testing, analysis and design testing, code testing, user testing, integration tests, and system tests. Stages of requirement-based testing were defined as well as analysis testing, design testing techniques, code-based testing, integration testing strategies, system testing purposes, and user acceptance testing. Scenario-based testing was also explained.
This is the most important topic of OOAD named as Object Oriented Testing. It is used to prepare a good software which has no bug in it and it performs very fast. <a href="https://harisjamil.pro">Haris Jamil</a>
The document discusses various types of testing used in object-oriented software development including requirement testing, analysis testing, design testing, code testing, integration testing, unit testing, user testing, and system testing. It provides details on each type of testing such as the purpose, techniques, and processes involved. Scenario based testing and fault based testing are also summarized in the document.
The document discusses various software testing techniques including white box testing and black box testing. It provides details on test cases, test suites, and testing conventional applications. Specifically:
- It describes white box and black box testing techniques, and explains that white box tests the implementation while black box tests only the functionality.
- It defines what a test case is and lists typical parameters for a test case like ID, description, test data, expected results. It provides an example test case.
- It explains that a test suite is a container that holds a set of tests and can be in different states. A diagram shows the relationship between test plans, test suites and test cases.
- It discusses unit testing and
This document provides an overview of software testing concepts and definitions. It discusses the primary purpose of testing as detecting software failures to find and fix defects. It also defines key testing terms like test scenarios versus test cases, the software testing cycle, testing methods and levels, and quality assurance versus testing. Sample login feature test scenarios and test cases are provided to illustrate these concepts.
The document discusses test case generation for verifying and testing database functionalities. It describes test case generation as the process of writing SQL test cases and designing them based on the functionalities of an application. The purpose is to check the output against expected results. Multiple techniques for generating test cases are discussed, including goal-oriented, random, specification-based, and source-code-based approaches. Best practices for writing quality test cases are also provided.
Unit testing involves writing automated tests to test code. Automated tests are repeatable and help catch bugs before deploying code. The main benefits of unit testing are that it allows developers to test code frequently and in less time, catch bugs before deploying, deploy with confidence, reduce bugs in production, and refactor code with confidence.
There are different types of tests including unit tests, integration tests, and end-to-end tests. Unit tests isolate a unit of code without external dependencies and execute fast but provide less confidence. Integration tests involve external dependencies and provide more confidence but take longer. End-to-end tests drive the application through its UI and provide great confidence but are slow.
Good unit tests
Testing is a process used to identify the correctness, completeness and quality of developed computer software. It involves finding differences between expected and observed behavior by executing the system with different inputs. The goal of testing is to maximize the number of discovered faults and increase reliability. Testing techniques include unit testing of individual components, integration testing of combined components, and system testing of the full application. Fault avoidance techniques like code reviews aim to prevent errors from being introduced.
Agile Mumbai 2020 Conference | How to get the best ROI on Your Test Automati...AgileNetwork
- Writing automated tests takes a significant amount of time and effort, often resulting in test code that is twice or three times the size of the actual code being tested. This occurs because tests are written in isolation and dependencies must be mocked.
- A better approach is to write tests that focus on behaviors and public interfaces rather than implementation details. Tests should not break when implementation details change, only when public behaviors change. This allows for easier refactoring of code without breaking tests.
- Rather than focusing solely on unit tests, more effort should be put into system level testing which typically finds twice as many bugs. Tests can also be improved by designing them more formally and moving assertions directly into the code being tested.
White box testing involves testing internal program structure and code. It includes static testing like code reviews and structural testing like unit testing. Static testing checks code against requirements without executing. Structural testing executes code to test paths and conditions. Code coverage metrics like statement coverage measure what code is executed by tests. Code complexity metrics like cyclomatic complexity quantify complexity to determine necessary test cases. White box testing finds defects from incorrect code but may miss realistic errors and developers can overlook own code issues.
The document discusses software testing concepts including:
1. It defines key terms related to software defects such as errors, defects, failures, and faults.
2. It outlines the different phases of software testing from component/unit testing to acceptance testing and discusses principles of good testability.
3. It provides guidance on writing test plans and cases, including reviewing requirements, identifying test suites, and transforming use cases into test cases.
Software Test Automation - Best PracticesArul Selvan
The document provides best practices for software test automation. It recommends treating test automation like a software development project by focusing on design, documentation, and bug tracking. It also stresses setting measurable goals, choosing the right testing tool and framework to meet automation needs, ensuring high quality test data, training a dedicated team, conducting early and frequent testing, and writing independent test cases.
Microsoft Fakes help you isolate the code you are testing by replacing other parts of the application with substitute code. These substitutes are called stubs and shims and are under the control of your tests. Microsoft Fakes is ideal when you need to test legacy or “legacy” code that is either restricted for refactoring or “refactoring” practically means rewriting and cost you a lot.
This document discusses unit testing and the Microsoft Fakes framework. It begins with an overview of different types of software tests like unit tests, integration tests, and user acceptance tests. It then discusses why unit tests are important and some conventions for writing unit tests. Dependencies and coupling are mentioned as challenges for unit testing. The document introduces Microsoft Fakes as a framework that helps isolate code for testing by replacing dependencies with stubs or shims. It provides examples of how to generate and use stubs and shims. In the end, it summarizes when to use stubs versus shims and takes questions from the audience.
Unit testing involves testing individual units or components of an application to verify that each unit performs as expected. A unit test automates the invocation of a unit of work and checks the expected outcome without relying on other units. Good unit tests are automated, repeatable, easy to implement, run quickly and consistently, and isolate the unit from its dependencies. Integration testing differs in that it involves testing units using real dependencies rather than isolated fakes or stubs. Test-driven development involves writing tests before code so that tests fail initially and then pass after the code is implemented. Unit testing frameworks like NUnit provide attributes to mark tests, expected exceptions, setup and teardown methods, and assertions to validate outcomes.
Testing As A Bottleneck - How Testing Slows Down Modern Development Processes...TEST Huddle
We often claim the purpose of testing is to verify that software meets a desired level of quality. Frequently, the term “testing” is associated with checking for functional correctness. However, in large, complex software systems with an established user-base, it is also important to verify system constraints such as backward compatibility, reliability, security, accessibility, usability. Kim Herzig from Microsoft explores these issues with the latest webinar on test Huddle.
The document discusses test planning and management. It covers topics like test strategy, test plan, test automation, mutation testing, defects in software engineering, manual vs automation testing challenges, skills of quality testers, agile testing, and the Selenium testing tool. It provides information on creating test plans according to IEEE standards and discusses the components, requirements, and benefits of test automation frameworks and tools.
Unit testing involves writing code to test individual units or components in isolation to determine if they are functioning as expected. Writing tests first, before production code (test-driven development or TDD) can lead to higher quality code, easier debugging, and increased confidence in changes. The TDD process involves writing a failing test, then code to pass the test, and refactoring code as needed. To apply TDD effectively, tests should focus on logical code, avoid duplications, and isolate dependencies to keep tests simple and maintainable. Both server-side and client-side code need testing, focusing on things like business rules, view models, repositories, and UI logic.
The document discusses various concepts related to software errors, faults, failures, and testing. It defines that an error is made during development, a fault is the manifestation of an error in the code, and a failure occurs when the fault is triggered. Testing involves exercising the software with test cases to find failures or demonstrate correct execution. There are two main approaches to identifying test cases - functional testing based on specifications and structural testing based on code. Both approaches are needed to fully test the software.
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Similar to Clean Code in Test Automation Differentiating Between the Good and the Bad
The document discusses various types of testing used in object-oriented software development including requirement testing, analysis testing, design testing, code testing, integration testing, unit testing, user testing, and system testing. It provides details on each type of testing such as the purpose, techniques, and processes involved. Scenario based testing and fault based testing are also summarized in the document.
The document discusses various software testing techniques including white box testing and black box testing. It provides details on test cases, test suites, and testing conventional applications. Specifically:
- It describes white box and black box testing techniques, and explains that white box tests the implementation while black box tests only the functionality.
- It defines what a test case is and lists typical parameters for a test case like ID, description, test data, expected results. It provides an example test case.
- It explains that a test suite is a container that holds a set of tests and can be in different states. A diagram shows the relationship between test plans, test suites and test cases.
- It discusses unit testing and
This document provides an overview of software testing concepts and definitions. It discusses the primary purpose of testing as detecting software failures to find and fix defects. It also defines key testing terms like test scenarios versus test cases, the software testing cycle, testing methods and levels, and quality assurance versus testing. Sample login feature test scenarios and test cases are provided to illustrate these concepts.
The document discusses test case generation for verifying and testing database functionalities. It describes test case generation as the process of writing SQL test cases and designing them based on the functionalities of an application. The purpose is to check the output against expected results. Multiple techniques for generating test cases are discussed, including goal-oriented, random, specification-based, and source-code-based approaches. Best practices for writing quality test cases are also provided.
Unit testing involves writing automated tests to test code. Automated tests are repeatable and help catch bugs before deploying code. The main benefits of unit testing are that it allows developers to test code frequently and in less time, catch bugs before deploying, deploy with confidence, reduce bugs in production, and refactor code with confidence.
There are different types of tests including unit tests, integration tests, and end-to-end tests. Unit tests isolate a unit of code without external dependencies and execute fast but provide less confidence. Integration tests involve external dependencies and provide more confidence but take longer. End-to-end tests drive the application through its UI and provide great confidence but are slow.
Good unit tests
Testing is a process used to identify the correctness, completeness and quality of developed computer software. It involves finding differences between expected and observed behavior by executing the system with different inputs. The goal of testing is to maximize the number of discovered faults and increase reliability. Testing techniques include unit testing of individual components, integration testing of combined components, and system testing of the full application. Fault avoidance techniques like code reviews aim to prevent errors from being introduced.
Agile Mumbai 2020 Conference | How to get the best ROI on Your Test Automati...AgileNetwork
- Writing automated tests takes a significant amount of time and effort, often resulting in test code that is twice or three times the size of the actual code being tested. This occurs because tests are written in isolation and dependencies must be mocked.
- A better approach is to write tests that focus on behaviors and public interfaces rather than implementation details. Tests should not break when implementation details change, only when public behaviors change. This allows for easier refactoring of code without breaking tests.
- Rather than focusing solely on unit tests, more effort should be put into system level testing which typically finds twice as many bugs. Tests can also be improved by designing them more formally and moving assertions directly into the code being tested.
White box testing involves testing internal program structure and code. It includes static testing like code reviews and structural testing like unit testing. Static testing checks code against requirements without executing. Structural testing executes code to test paths and conditions. Code coverage metrics like statement coverage measure what code is executed by tests. Code complexity metrics like cyclomatic complexity quantify complexity to determine necessary test cases. White box testing finds defects from incorrect code but may miss realistic errors and developers can overlook own code issues.
The document discusses software testing concepts including:
1. It defines key terms related to software defects such as errors, defects, failures, and faults.
2. It outlines the different phases of software testing from component/unit testing to acceptance testing and discusses principles of good testability.
3. It provides guidance on writing test plans and cases, including reviewing requirements, identifying test suites, and transforming use cases into test cases.
Software Test Automation - Best PracticesArul Selvan
The document provides best practices for software test automation. It recommends treating test automation like a software development project by focusing on design, documentation, and bug tracking. It also stresses setting measurable goals, choosing the right testing tool and framework to meet automation needs, ensuring high quality test data, training a dedicated team, conducting early and frequent testing, and writing independent test cases.
Microsoft Fakes help you isolate the code you are testing by replacing other parts of the application with substitute code. These substitutes are called stubs and shims and are under the control of your tests. Microsoft Fakes is ideal when you need to test legacy or “legacy” code that is either restricted for refactoring or “refactoring” practically means rewriting and cost you a lot.
This document discusses unit testing and the Microsoft Fakes framework. It begins with an overview of different types of software tests like unit tests, integration tests, and user acceptance tests. It then discusses why unit tests are important and some conventions for writing unit tests. Dependencies and coupling are mentioned as challenges for unit testing. The document introduces Microsoft Fakes as a framework that helps isolate code for testing by replacing dependencies with stubs or shims. It provides examples of how to generate and use stubs and shims. In the end, it summarizes when to use stubs versus shims and takes questions from the audience.
Unit testing involves testing individual units or components of an application to verify that each unit performs as expected. A unit test automates the invocation of a unit of work and checks the expected outcome without relying on other units. Good unit tests are automated, repeatable, easy to implement, run quickly and consistently, and isolate the unit from its dependencies. Integration testing differs in that it involves testing units using real dependencies rather than isolated fakes or stubs. Test-driven development involves writing tests before code so that tests fail initially and then pass after the code is implemented. Unit testing frameworks like NUnit provide attributes to mark tests, expected exceptions, setup and teardown methods, and assertions to validate outcomes.
Testing As A Bottleneck - How Testing Slows Down Modern Development Processes...TEST Huddle
We often claim the purpose of testing is to verify that software meets a desired level of quality. Frequently, the term “testing” is associated with checking for functional correctness. However, in large, complex software systems with an established user-base, it is also important to verify system constraints such as backward compatibility, reliability, security, accessibility, usability. Kim Herzig from Microsoft explores these issues with the latest webinar on test Huddle.
The document discusses test planning and management. It covers topics like test strategy, test plan, test automation, mutation testing, defects in software engineering, manual vs automation testing challenges, skills of quality testers, agile testing, and the Selenium testing tool. It provides information on creating test plans according to IEEE standards and discusses the components, requirements, and benefits of test automation frameworks and tools.
Unit testing involves writing code to test individual units or components in isolation to determine if they are functioning as expected. Writing tests first, before production code (test-driven development or TDD) can lead to higher quality code, easier debugging, and increased confidence in changes. The TDD process involves writing a failing test, then code to pass the test, and refactoring code as needed. To apply TDD effectively, tests should focus on logical code, avoid duplications, and isolate dependencies to keep tests simple and maintainable. Both server-side and client-side code need testing, focusing on things like business rules, view models, repositories, and UI logic.
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1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
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In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
2. 1. Introduction
2. Clean Testing (Arrange -> Act -> Assert)
3. Characteristics
o Of Good Test Automation Code
o Of Bad Test Automation Code
4. Clean Code Principles in Test Automation
5. Best Practices in Test Automation
3. Introduction
• Writing clean code is paramount for ensuring that tests
are effective, maintainable, and reliable.
• Clean code in test automation not only facilitates easier
understanding and modification by team members but
also enhances the overall quality and performance of the
test suite.
• The focus will be on differentiating between good and
bad practices in test automation, highlighting the
characteristics of well-written tests and common pitfalls to
avoid.
• By examining these distinctions, we aim to promote best
practices that lead to more efficient and robust automated
testing.
4. Clean Testing
• Clean Testing is a methodology in test automation that emphasizes writing clear,
readable, and maintainable tests by following a structured pattern known as
Arrange-Act-Assert (AAA).
• This pattern ensures that tests are easy to understand and consistently organized,
which helps in identifying and fixing issues quickly.
• Like clean code, a clean test is simple, direct, and not cluttered with unnecessary
steps or information.
5. Arrange -> Act -> Assert
• Arrange
o In the Arrange phase, you set up everything needed for the test. This includes:
Initializing Objects: Create instances of the classes you will test.
Setting Up Data: Prepare any data or state required for the test.
Mocking Dependencies: Use mocks or stubs for any external dependencies.
@BeforeClass
public void setUp() {
// Arrange
System.setProperty("webdriver.chrome.driver",
"path/to/chromedriver");
driver = new ChromeDriver();
driver.manage().window().maximize();
driver.get("https://example.com/login");
}
6. Arrange -> Act -> Assert
• Act
o In the Act phase, you perform the action that you want to test.
o This typically involves calling a method or function.
o Or Simply, Choose an action that will trigger the test result – this could be a click, calling a specific function, or something
else.
@Test
public void testLogin() {
// Arrange
WebElement usernameField = driver.findElement(By.id("username"));
WebElement passwordField = driver.findElement(By.id("password"));
WebElement loginButton = driver.findElement(By.id("loginButton"));
// Act
usernameField.sendKeys("testuser");
passwordField.sendKeys("testpassword");
loginButton.click();
}
7. Arrange -> Act -> Assert
• Assert
o In the Assert phase, you verify that the outcome is as expected.
o This is where you check the results of the action performed in the Act phase against the expected results.
o Or Assert the result was what was expected.
@Test
public void testLogin() {
// Arrange
WebElement usernameField = driver.findElement(By.id("username"));
WebElement passwordField = driver.findElement(By.id("password"));
WebElement loginButton = driver.findElement(By.id("loginButton"));
// Act
usernameField.sendKeys("testuser");
passwordField.sendKeys("testpassword");
loginButton.click();
// Assert
WebElement welcomeMessage = driver.findElement(By.id("welcomeMessage"));
Assert.assertTrue(welcomeMessage.isDisplayed(), "Login failed: Welcome message is not displayed.");
Assert.assertEquals(welcomeMessage.getText(), "Welcome, testuser!", "Login failed: Incorrect welcome message.");
}
8. Characteristics Of Good Automation Code
Good automation code is essential for ensuring reliability, efficiency, and maintainability in automated processes. Here are
some key characteristics of well-written automation code:
• Readability
• Clear and Concise: The code should be easy to read and understand.
• Consistent Naming Conventions: Adopting a consistent style for naming variables, functions, and classes.
• Comments: Appropriate comments help others (and your future self) understand the code's functionality and intent.
• Modularity
• Functions and Modules: Breaking down the code into reusable functions and modules makes it easier to manage.
• Single Responsibility: Each function or module should have a single, well-defined responsibility.
• Flexibility and Configurability
• Configurable Parameters: Using configuration files or environment variables allows the code to be easily adapted to different
environments or use cases without modifying the codebase.
• Extensibility: The code should be designed to accommodate future changes or additional features with minimal modifications.
• Error Handling and Logging
• Error Handling: Proper error handling mechanisms should be in place to gracefully handle exceptions and errors without
crashing.
• Logging: Implementing logging helps in debugging and provides insights into the code's execution flow.
9. Characteristics Of Good Automation Code
• Compliance and Standards
• Adherence to Standards: Following industry standards and best practices for coding ensures that the automation code
is reliable and interoperable.
• Code Reviews: Regular code reviews help identify issues early and improve the overall quality of the code.
• Security
• Secure Practices: Following best security practices, such as avoiding hard-coded credentials and using secure
connections, protects against vulnerabilities.
• Input Validation: Validating inputs ensures that the code handles unexpected or malicious data appropriately.
• Scalability
• Efficient Algorithms: Writing efficient algorithms ensures that the code can handle increasing amounts of data or
complexity without significant performance degradation.
• Parallelization: Where possible, enabling parallel execution of tasks can improve performance.
10. Characteristics Of Bad Automation Code
Bad automation code can lead to inefficiencies, difficulties in maintenance, and potential failures in automated processes.
Here are some characteristics that typically define poor automation code:
• Poor Readability
• Unclear Naming: Using non-descriptive variable and function names that do not convey their purpose.
• Inconsistent Style: Inconsistent naming conventions and coding styles, leading to confusion and difficulty in following the code.
• Lack of Comments: Absence of comments or documentation, making it difficult to understand the code’s intent and functionality.
• Monolithic Structure
• Lack of Modularity: Writing large, monolithic blocks of code without breaking them down into smaller, reusable functions or
modules.
• Multiple Responsibilities: Functions or modules that handle multiple tasks, making them complex and difficult to understand or
reuse.
• Redundancy
• Code Duplication: Repeating the same code in multiple places instead of abstracting common functionality into reusable
components.
• Weak Error Handling
• No Error Handling: Failing to handle potential errors or exceptions, which can cause the automation to crash unexpectedly.
• Poor Logging: Inadequate or absent logging, making it hard to diagnose issues or understand the code’s execution flow.
11. Characteristics Of Bad Automation Code
• Non-Adherence to Standards
• Ignoring Best Practices: Not following industry best practices and coding standards, leading to lower quality and less
reliable code.
• No Code Reviews: Skipping code reviews, missing out on opportunities to catch issues early and improve code quality.
• Security Vulnerabilities
• Hardcoded Credentials: Storing sensitive information like credentials directly in the code, which can be a major security
risk.
• Lack of Input Validation: Failing to validate inputs, making the code vulnerable to injection attacks and other security
issues.
• Hardcoding and Inflexibility
• Hardcoded Values: Using hardcoded values for configurations, making the code less flexible and harder to adapt to
different environments.
• Non-Configurable: Lack of configurable parameters, requiring code changes for different use cases or environments.
12. Clean Code Principles in Test Automation
• Single Responsibility Principle
o This principle states that a class or module should have only one reason to change.
o In test automation, this means that each test case or test suite should focus on testing a single piece of functionality.
o It helps in maintaining the tests, as any change in the feature being tested should only require changes in one place.
13. Clean Code Principles in Test Automation
• Open/Closed Principle
o The Open/Closed Principle suggests that software entities (classes, functions, etc.) should be open for extension but
closed for modification.
o In test automation, this could mean that your test cases should be designed in a way that allows for easy extension
(adding new test cases) without modifying existing ones.
o This could be achieved through proper abstraction and use of design patterns like Page Object Model.
14. Clean Code Principles in Test Automation
• FIRST Principle
o FIRST stands for Fast, Isolated/Independent, Repeatable, Self-Validating, and Timely.
Fast: Tests should execute quickly to provide rapid feedback.
Isolated/Independent: Tests should not depend on each other. Each test should be able to run independently.
Repeatable: Tests should produce the same result every time they are run.
Self-Validating: Tests should have a Boolean output. They should pass or fail clearly.
Timely: Tests should be written timely, ideally before the code they are testing is implemented, following a test-driven development
(TDD) approach.
15. Clean Code Principles in Test Automation
• Single Level of Abstraction Principle
o This principle states that there should not be multiple levels of abstraction within a function or method.
o In test automation, this means that test methods should have a single level of abstraction, making them easier to read and
understand.
16. Clean Code Principles in Test Automation
• Dependency Injection Principle
o This principle promotes injecting dependencies into a class rather than creating them internally.
o In test automation, this allows for easier testing by enabling the injection of mock objects or test doubles to isolate the
component under test.
17. Best Practices in Test Automation
Descriptive
Naming
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simply dummy text of
the printing.
Lorem Ipsum is
simply dummy text of
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Small
And
Focused Tests
Page Object
Model
Parameterized
Values
Assertions
Waits
Logging
And
Reporting
18. Best Practices in Test Automation
• Use Descriptive Naming
o In test automation, Choose descriptive names for classes, methods, and variables that convey their purpose.
o For Example,
public class LoginPageTest {
@Test
public void loginWithValidCredentials_shouldSucceed() {
// Arrange: Set up the test scenario
WebDriver driver = new ChromeDriver();
LoginPage loginPage = new LoginPage(driver);
// Act: Perform the login operation
loginPage.navigate();
loginPage.login(TestConstants.VALID_USERNAME, TestConstants.VALID_PASSWORD);
// Assert: Verify the expected outcome
assertTrue("Login successful", driver.getTitle().contains("Dashboard"));
// Clean up: Close the browser
driver.quit();
}
}
19. Best Practices in Test Automation
• Keep Tests Small and Focused
o In test automation, each test should focus on testing a single functionality or scenario.
o For Example,
// Validating the login page
@Test
public void loginWithValidCredentials_shouldSucceed() {
// Arrange: Set up the test scenario
WebDriver driver = new ChromeDriver();
LoginPage loginPage = new LoginPage(driver);
// Act: Perform the login operation
loginPage.navigate();
loginPage.login(TestConstants.VALID_USER, TestConstants.VALID_PASS);
// Assert: Verify the expected outcome
assertTrue("Login successful", driver.getTitle().contains("Dashboard"));
// Clean up: Close the browser
driver.quit();
}
// Validating the home page
@Test
public void navigateToHomePage_afterSuccessfulLogin() {
// Arrange: Set up the test scenario
WebDriver driver = new ChromeDriver();
LoginPage loginPage = new LoginPage(driver);
HomePage homePage = new HomePage(driver);
// Act: Perform the login operation
loginPage.navigate();
loginPage.login(TestConstants.VALID_USER, TestConstants.VALID_PASS);
// Act: Navigate to the home page
homePage.navigateToHomePage();
// Assert: Verify the expected outcome
assertTrue("Home page is displayed", homePage.isHomePageDisplayed());
// Clean up: Close the browser
driver.quit();
}
20. Best Practices in Test Automation
• Use Page Object Model (POM)
o In test automation, encapsulate web elements and actions into Page Objects to promote reusability and
maintainability.
o For Example, import org.openqa.selenium.By;
import org.openqa.selenium.WebDriver;
public class LoginPage {
private WebDriver driver;
private By usernameInput = By.id("username");
private By passwordInput = By.id("password");
private By loginButton = By.id("login");
public LoginPage(WebDriver driver) {
this.driver = driver;
}
public void navigate() {
driver.get(TestConstants.BASE_URL + "/login");
}
public void login(String username, String password) {
driver.findElement(usernameInput).sendKeys(username);
driver.findElement(passwordInput).sendKeys(password);
driver.findElement(loginButton).click();
}
}
21. Best Practices in Test Automation
• Avoid Hardcoding Values
o In test automation, use configuration files or constants to store test data and configuration settings.
o For Example,
import org.openqa.selenium.By;
import org.openqa.selenium.WebDriver;
public class LoginPage {
private WebDriver driver;
private By usernameInput = By.id("username");
private By passwordInput = By.id("password");
private By loginButton = By.id("login");
public LoginPage(WebDriver driver) {
this.driver = driver;
}
public void navigate() {
driver.get(TestConstants.BASE_URL + "/login");
}
public void login(String username, String password) {
driver.findElement(usernameInput).sendKeys(username);
driver.findElement(passwordInput).sendKeys(password);
driver.findElement(loginButton).click();
}
}
// Example:
public class TestConstants {
public static final String BASE_URL = "https://example.com";
public static final String USERNAME = "testuser";
public static final String PASSWORD = "password123";
}
22. Best Practices in Test Automation
• Keep Assertions Clear and Concise
o In test automation, use meaningful messages in assertions to understand failures easily.
o For Example,
@Test
public void loginWithValidCredentials_shouldSucceed() {
// Arrange: Set up the test scenario
WebDriver driver = new ChromeDriver();
LoginPage loginPage = new LoginPage(driver);
HomePage homePage = new HomePage(driver);
// Act: Perform the login operation
loginPage.navigate();
loginPage.login(TestConstants.VALID_USER, TestConstants.VALID_PASS);
// Assert: Verify the expected outcome
assertEquals("The page title should be 'Dashboard' after successful login", "Dashboard", driver.getTitle());
// Clean up: Close the browser
driver.quit();
}
// Example:
assertEquals("Login successful", driver.getTitle());
23. Best Practices in Test Automation
• Handle Waits Properly
o In test automation, use explicit and implicit waits to handle synchronization issues.
o For Example,
@BeforeMethod
public void setUp() {
// Set up the ChromeDriver path
System.setProperty("webdriver.chrome.driver", "path/to/chromedriver");
// Initialize the ChromeDriver
driver = new ChromeDriver();
// Set implicit wait (applies to all elements)
driver.manage().timeouts().implicitlyWait(10, TimeUnit.SECONDS);
// Initialize WebDriverWait (explicit wait)
wait = new WebDriverWait(driver, 10);
// Navigate to the desired URL
driver.get("https://example.com");
}
// Example:
WebDriverWait wait = new WebDriverWait(driver, 10);
wait.until(ExpectedConditions.visibilityOfElementLocated(By.id("elementId")));
24. Best Practices in Test Automation
• Parameterize Tests
o In test automation, use parameterization to run tests with different data sets.
o For Example,
@Test(dataProvider = "loginData")
public void loginWithValidCredentials_shouldSucceed(String username, String password) {
// Act: Perform the login operation
loginPage.navigate();
loginPage.login(username, password);
// Assert: Verify the expected outcome
assertEquals(driver.getTitle(), "Dashboard", "The page title should be Dashboard'");
}
@Test(dataProvider = "loginData")
public void navigateToHomePage_afterSuccessfulLogin(String username, String password) {
// Act: Perform the login operation
loginPage.navigate();
loginPage.login(username, password);
// Act: Navigate to the home page
homePage.navigateToHomePage();
// Assert: Verify the expected outcome
assertTrue(homePage.isHomePageDisplayed(), "The home page should be displayed after navigation");
}
// Example:
@DataProvider(name = "loginData")
public Object[][] loginData() {
return new Object[][] {
{"username1", "password1"},
{"username2", "password2"}
};
}
25. Best Practices in Test Automation
• Implement Logging and Reporting
o In test automation, use logging frameworks like Log4j or SLF4J to log informative messages for debugging.
o Utilize reporting tools like ExtentReports or TestNG reports for generating comprehensive test reports.
o For Example,
@Test(dataProvider = "loginData")
public void loginWithValidCredentials_shouldSucceed(String username, String password) {
test = extent.createTest("loginWithValidCredentials_shouldSucceed with " + username);
logger.info("Starting login test with username: " + username);
test.log(Status.INFO, "Starting login test with username: " + username);
// Act: Perform the login operation
loginPage.navigate();
test.log(Status.INFO, "Navigated to login page");
loginPage.login(username, password);
test.log(Status.INFO, "Performed login with username: " + username);
// Assert: Verify the expected outcome
String expectedTitle = "Dashboard";
String actualTitle = driver.getTitle();
logger.info("Verifying the page title. Expected: " + expectedTitle + ", Actual: " + actualTitle);
test.log(Status.INFO, "Verifying the page title. Expected: " + expectedTitle + ", Actual: " + actualTitle);
}
}
// Example:
Logger logger = Logger.getLogger(LoginPageTest.class.getName());
logger.info("Login test started...");