Automated Testing in Software Development: Tools and Techniques for Quality Assurance

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Key Takeaways

According to Statista, the global software testing market size was valued at $33.9 billion in 2020.

The World Quality Report 2020-21 states that 85% of respondents consider test automation essential for digital transformation.

A study by Tricentis found that organizations practicing continuous testing experience 50% higher test automation rates.

Embracing continuous integration and implementing best practices are crucial for successful automated testing in software development.

In today’s rapidly evolving software landscape, the importance of Automated Testing in Software Development cannot be overstated. As technology advances and development cycles become increasingly compressed, the need for efficient and effective testing methodologies becomes paramount. 

Automated testing offers a solution to this challenge by providing developers with the means to quickly and accurately verify the functionality and reliability of their code. By automating repetitive testing tasks and continuously running tests throughout the development process, teams can identify and address issues early, ensuring the quality and integrity of their software products. 

1.Introduction to Automated Testing

Automated testing is a software testing technique that involves the use of specialized tools and scripts to execute predefined tests on a software application. 

Unlike manual testing, which relies on human intervention to perform tests, automated testing allows for the automation of repetitive testing tasks, saving time and resources while increasing the efficiency and accuracy of the testing process. 

The importance of automated testing cannot be overstated in the context of modern software development. 

With the increasing complexity of software systems and the demand for rapid delivery of high-quality software, automated testing has become an essential practice for ensuring the reliability and performance of software applications.

Evolution of Automated Testing in Software Development

The evolution of automated testing can be traced back to the early days of software development when manual testing was the norm. As software systems grew in complexity and size, manual testing became increasingly time-consuming and error-prone. 

In response to these challenges, developers began exploring ways to automate the testing process, leading to the development of early automated testing tools and frameworks. 

Over time, as technology advanced and development methodologies evolved, automated testing became more sophisticated and widespread, with a wide range of tools and techniques available to developers today.

Significance of Quality Assurance in Modern Software Projects

Quality assurance (QA) plays a critical role in modern software projects, ensuring that software applications meet the specified requirements and standards. As software systems become more integrated and interconnected, the impact of bugs and defects can be significant, leading to downtime, data loss, and potential security vulnerabilities. 

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By implementing automated testing as part of the QA process, developers can identify and fix issues early in the development cycle, reducing the risk of costly errors making their way into production. 

Automated testing also allows for continuous monitoring and validation of software quality, helping to maintain the integrity and reliability of software applications over time.

2. Understanding Automated Testing

Automated testing refers to the process of using software tools to execute predefined tests on a software application automatically. This approach allows developers to verify the functionality and performance of their code without manual intervention. 

The concept of automated testing stems from the need to streamline the testing process and improve efficiency in software development projects. 

By automating repetitive testing tasks, developers can accelerate the testing cycle and identify bugs or errors early in the development process, leading to faster delivery of high-quality software products.

Concept of Automated Testing

At its core, automated testing involves writing scripts or test cases that simulate user interactions with the software application. These scripts are then executed automatically by testing frameworks or tools, which compare the actual results with expected outcomes to determine the success or failure of the tests. 

Automated testing can encompass various types of tests, including unit tests, integration tests, end-to-end tests, and performance tests, each serving a specific purpose in the software development lifecycle. 

Overall, the concept of automated testing revolves around leveraging technology to streamline the testing process and improve the efficiency and reliability of software applications.

Types of Automated Tests

There are several types of automated tests that developers can utilize to ensure the quality and reliability of their software applications. Unit tests focus on testing individual components or units of code in isolation, verifying that each unit functions as expected. 

Integration tests validate the interaction between different modules or subsystems within the application, ensuring that they work together seamlessly. 

End-to-end tests simulate real-world user scenarios, from user input to output, to validate the overall functionality and user experience of the application. 

Additionally, performance tests assess the application’s response time, scalability, and resource usage under various conditions, such as high traffic or heavy load.

Advantages and Challenges of Automated Testing

Automated testing offers numerous benefits to software development teams, including faster testing cycles, increased test coverage, and early detection of defects. 

By automating repetitive testing tasks, developers can save time and resources, allowing them to focus on other critical aspects of the development process. 

3. Benefits of Automated Testing

Automated testing brings a multitude of advantages to the software development process, contributing significantly to the efficiency and effectiveness of quality assurance efforts. 

This section delves into three key benefits of automated testing: time and cost savings, improved software quality and reliability, and early detection of bugs and regressions.

Time and Cost Savings

One of the primary benefits of automated testing is its ability to save both time and resources throughout the software development lifecycle. 

By automating repetitive testing tasks that would otherwise require manual execution, developers can streamline the testing process and allocate their time more efficiently. 

This efficiency translates into cost savings for organizations, as fewer resources are required to achieve the same level of testing coverage. Additionally, automated tests can be run continuously without human intervention, allowing for faster feedback loops and shorter development cycles.

Improved Software Quality and Reliability

Automated testing plays a crucial role in ensuring the overall quality and reliability of software applications. By systematically executing a predefined set of tests, automated testing helps identify defects and inconsistencies in the codebase early in the development process. 

This early detection enables developers to address issues promptly, preventing them from escalating into more significant problems later on. 

Moreover, automated tests provide a level of consistency and repeatability that is difficult to achieve with manual testing, resulting in more reliable and predictable software releases.

Early Detection of Bugs and Regressions

Perhaps the most significant benefit of automated testing is its ability to detect bugs and regressions early in the development cycle. Automated tests can be integrated seamlessly into the continuous integration and continuous deployment (CI/CD) pipeline, allowing for rapid feedback on code changes. 

This early detection enables developers to identify and fix issues before they impact end-users, reducing the likelihood of costly errors making their way into production. 

By catching bugs and regressions early, automated testing helps minimize the risk of software failures and improves the overall stability of the application.

4. Types of Automated Testing Techniques

Unit Testing:

Unit testing is a fundamental aspect of automated testing in software development. It involves testing individual units or components of the code in isolation, typically at the function or method level. 

Unit tests are designed to verify that each unit of code performs as expected and meets its specified requirements. By isolating individual units for testing, developers can identify and fix bugs early in the development process, leading to more robust and maintainable codebases. 

Unit testing frameworks such as JUnit, NUnit, and TestNG provide developers with tools to automate the execution of unit tests and generate detailed reports on test results.

Integration Testing:

Integration testing focuses on verifying the interaction between different modules or subsystems within a software application. Unlike unit testing, which tests individual units in isolation, integration testing evaluates how these units work together as a cohesive system. 

Integration tests help ensure that changes made to one part of the codebase do not adversely affect other parts, thereby maintaining the integrity and functionality of the entire system. 

Common approaches to integration testing include top-down testing, bottom-up testing, and incremental testing, each aiming to validate different aspects of integration within the software.

Regression Testing:

Regression testing is a critical component of automated testing, aimed at detecting any unintended changes or regressions introduced into the codebase during the development process. 

It involves re-running previously executed test cases to ensure that new modifications or updates have not adversely impacted existing functionality. Regression tests help developers catch bugs early and prevent them from reoccurring in future releases. 

Automated regression testing tools, such as Selenium WebDriver and Ranorex, enable developers to automate the execution of regression tests and efficiently validate the stability of the software.

Acceptance Testing:

Acceptance testing, also known as user acceptance testing (UAT), focuses on verifying that the software meets the specified requirements and is ready for deployment to end-users. It involves testing the application’s functionality, usability, and overall user experience from the perspective of the end-user or customer. 

Acceptance tests are typically written in collaboration with stakeholders and may include both manual and automated testing scenarios. 

Automated acceptance testing tools like Cucumber and SpecFlow allow stakeholders to define acceptance criteria in a readable format and automate the execution of acceptance tests, ensuring that the software meets user expectations.

Performance Testing:

Performance testing is concerned with evaluating the speed, responsiveness, and scalability of a software application under various conditions. 

It involves simulating real-world usage scenarios and measuring the application’s performance metrics, such as response time, throughput, and resource utilization. 

Performance tests help identify bottlenecks, performance issues, and scalability limitations early in the development lifecycle, enabling developers to optimize the application for better performance. 

Automated performance testing tools like JMeter, LoadRunner, and Gatling facilitate the creation, execution, and analysis of performance tests, allowing developers to identify and address performance-related issues efficiently.

Selenium:

Selenium is arguably one of the most widely used and well-known automated testing tools in the software development industry. It offers a suite of tools specifically for web application testing and supports multiple programming languages, including Java, Python, and JavaScript. 

Selenium allows developers to write test scripts that interact with web elements such as buttons, forms, and dropdowns, simulating user interactions in a browser environment. 

One of the key advantages of Selenium is its cross-browser compatibility, enabling tests to be run seamlessly across different browsers like Chrome, Firefox, and Safari. 

Cypress:

Cypress is a relatively newer entrant in the automated testing space but has quickly gained popularity for its unique features and streamlined approach to testing. 

Unlike Selenium, which operates at the browser level, Cypress runs directly within the browser, providing developers with more control and visibility into the testing process. 

Its architecture allows for fast test execution, real-time feedback, and automatic waiting, eliminating the need for explicit waits or sleep commands in test scripts. 

Cypress also comes with built-in capabilities for debugging, time-traveling, and snapshotting, making it easier for developers to identify and resolve issues in their tests. Overall, Cypress offers a modern and developer-friendly approach to automated testing, particularly for web applications.

JUnit:

JUnit is a widely used testing framework for Java applications, specifically designed for unit testing. It provides annotations and assertions that enable developers to write and execute test cases efficiently. 

JUnit follows the principle of “write once, run anywhere,” making it compatible with various IDEs, build tools, and continuous integration servers. With JUnit, developers can easily organize and execute their test suites, generate test reports, and integrate testing into their development workflow seamlessly. 

Its simplicity and robustness have made it a staple tool for Java developers worldwide, contributing to the overall quality and reliability of Java applications.

NUnit:

NUnit is the .NET counterpart to JUnit, offering similar functionality and features for unit testing in the C# programming language. Like JUnit, NUnit provides a framework for writing and executing test cases, along with assertions and annotations for defining test behavior. 

NUnit integrates seamlessly with popular .NET development environments such as Visual Studio and Xamarin, enabling developers to incorporate testing into their .NET projects effortlessly. 

With features like parameterized tests, setup and teardown methods, and test fixtures, NUnit empowers developers to write clean, maintainable, and effective unit tests for their .NET applications.

TestNG:

TestNG is a testing framework for Java applications that builds on the capabilities of JUnit while introducing new features and enhancements. It supports a wide range of testing scenarios, including unit, functional, and integration testing, and provides additional annotations and functionalities for test configuration and execution. 

TestNG’s powerful assertion capabilities, parameterization support, and parallel execution features make it a preferred choice for Java developers seeking more flexibility and control over their test suites. 

Additionally, TestNG integrates seamlessly with build tools like Maven and Gradle, as well as continuous integration servers like Jenkins, enabling automated testing as part of the development pipeline.

6. Selenium

Selenium is a widely-used open-source tool for automating web browsers, offering developers a robust platform for conducting automated testing. 

Its popularity stems from its versatility and comprehensive feature set, making it a go-to choice for quality assurance professionals worldwide.

Overview and Features

Selenium provides developers with a suite of tools for automating web applications across different browsers and platforms. Its core component, Selenium WebDriver, allows users to interact with web elements and simulate user actions such as clicking buttons, entering text, and navigating through web pages. 

Additionally, Selenium offers support for multiple programming languages, enabling developers to write tests in their preferred language.

Supported Programming Languages

One of the key advantages of Selenium is its support for various programming languages, including Java, Python, C#, and JavaScript. This flexibility allows developers to leverage their existing skills and choose the language that best suits their project requirements. 

Whether developing tests in Java for its robustness and ecosystem, or opting for Python for its simplicity and readability, Selenium accommodates a wide range of preferences.

Browser Compatibility

Selenium boasts excellent browser compatibility, supporting popular web browsers such as Chrome, Firefox, Safari, and Internet Explorer. 

This cross-browser compatibility ensures that tests can be run across different browser environments, enabling developers to validate the consistency of their web applications across various platforms. 

By testing in multiple browsers, developers can uncover potential compatibility issues and ensure a seamless user experience for all users.

Selenium Grid

Selenium Grid is a distributed testing solution that allows users to run tests in parallel across multiple machines and browsers. This scalability enables faster test execution and greater test coverage, making it ideal for large-scale testing projects. 

Selenium Grid also facilitates cross-browser testing by distributing tests across different browser environments, reducing the time and effort required to validate web applications on different platforms.

Best Practices for Selenium Testing

To maximize the effectiveness of Selenium testing, developers should adhere to best practices that promote efficiency, reliability, and maintainability. 

This includes practices such as writing modular and reusable test scripts, using appropriate locators to identify web elements, implementing robust error handling mechanisms, and organizing tests into logical test suites. 

Additionally, developers should regularly review and refactor their test code to ensure its readability and scalability over time.

7. Cypress

Introduction to Cypress:

Cypress is a modern end-to-end testing framework designed to simplify the process of testing web applications. 

Unlike traditional testing tools, Cypress operates directly within the browser, offering developers a more intuitive and seamless testing experience. 

With its user-friendly interface and powerful features, Cypress has gained popularity among developers as a reliable solution for testing modern web applications.

Key Features and Advantages:

One of the key features of Cypress is its ability to provide real-time feedback as tests are executed. Developers can view the application under test alongside the test results, allowing for quick identification of any issues or failures. 

Additionally, Cypress offers automatic waiting, which eliminates the need for explicit waits and timeouts, resulting in faster and more reliable tests. 

Other notable features include time-traveling debugging, which allows developers to debug tests by stepping through each command in real-time, and snapshot testing, which enables visual regression testing by capturing screenshots of the application at various stages of the test.

Installation and Setup:

Getting started with Cypress is straightforward thanks to its simple installation process. Developers can install Cypress via npm, the Node.js package manager, using a single command. Once installed, Cypress provides a command-line interface (CLI) for running tests and managing test configurations. 

Cypress also offers extensive documentation and tutorials to help developers get up and running quickly, making it accessible to both beginners and experienced testers alike.

Writing Tests with Cypress:

Writing tests with Cypress is easy and intuitive, thanks to its expressive and readable syntax. 

Tests are written using JavaScript and follow a declarative syntax that closely resembles natural language. 

Cypress provides a rich set of APIs for interacting with the application under test, including commands for navigating between pages, interacting with elements, and making assertions about the application’s state. 

Additionally, Cypress supports the use of plugins and custom commands, allowing developers to extend its functionality to suit their specific testing needs.

Integrating Cypress with CI/CD Pipelines:

Integrating Cypress with continuous integration and continuous deployment (CI/CD) pipelines is essential for incorporating automated testing into the software development lifecycle. 

Cypress seamlessly integrates with popular CI/CD platforms such as Jenkins, GitLab CI, and Travis CI, allowing developers to automate the execution of tests as part of their build and deployment process. 

By integrating Cypress with CI/CD pipelines, developers can ensure that tests are run consistently and reliably, providing early feedback on the quality of their code and enabling rapid iteration and delivery of software updates.

8. Best Practices for Automated Testing

Test Independence and Isolation

One of the fundamental best practices in automated testing is ensuring test independence and isolation. Tests should be designed to run independently of each other, without relying on the state or outcome of other tests. This ensures that each test can accurately assess the functionality of the code under specific conditions, reducing the likelihood of false positives or negatives. 

Test isolation involves minimizing dependencies on external factors such as databases, network services, or file systems, allowing tests to be executed in any environment consistently. 

By adhering to these principles, developers can create robust and reliable automated tests that accurately reflect the behavior of the software under test.

Test Data Management

Effective test data management is essential for successful automated testing. Developers must ensure that tests have access to relevant and realistic data to accurately simulate real-world usage scenarios. 

This may involve creating mock data, using data generation tools, or integrating with external databases or APIs. Test data should be carefully managed to maintain consistency and integrity across different testing environments, ensuring reliable and repeatable test results. 

Additionally, sensitive or confidential data should be masked or anonymized to comply with privacy regulations and protect sensitive information from unauthorized access.

Continuous Integration and Continuous Testing

Continuous integration (CI) and continuous testing (CT) are integral components of modern software development practices. CI involves regularly merging code changes into a shared repository and running automated tests to detect any integration issues. 

CT extends this concept by automating the testing process even further, allowing developers to receive rapid feedback on the quality of their code. By integrating automated testing into the CI/CD pipeline, developers can catch bugs early in the development cycle, preventing them from reaching production and reducing the cost and effort required to fix them. 

Continuous testing helps ensure that the software remains stable and reliable throughout its development lifecycle.

Test Coverage and Code Review

Test coverage and code review are critical aspects of maintaining high-quality automated tests. Test coverage measures the extent to which the codebase is exercised by automated tests, helping identify areas that may require additional testing. 

Developers should aim for comprehensive test coverage to ensure that all critical paths and edge cases are adequately tested. 

Code review involves systematically reviewing automated tests to identify any issues or deficiencies, such as redundant or ineffective tests, poorly written assertions, or incorrect test data. 

By conducting regular code reviews, developers can improve the overall quality and effectiveness of their automated tests, leading to more reliable and maintainable software.

Test Automation Frameworks and Patterns

Choosing the right test automation frameworks and patterns is crucial for the success of automated testing efforts. 

Test automation frameworks provide a structured approach to organizing and executing automated tests, offering features such as test case management, reporting, and integration with other tools and technologies. 

Developers should evaluate different frameworks based on their project requirements, technical stack, and team expertise to select the most suitable option. 

Additionally, adopting established automation patterns such as Page Object Model (POM) or Behavior-Driven Development (BDD) can help streamline test development and maintenance, making it easier to scale automated testing efforts across the organization. 

By leveraging the right frameworks and patterns, developers can optimize their automated testing workflow and achieve better outcomes in terms of efficiency, reliability, and test coverage.

9. Continuous Integration and Continuous Testing (CI/CT)

Definition and Benefits of CI/CT:

Continuous Integration (CI) and Continuous Testing (CT) are integral components of modern software development practices aimed at improving efficiency and quality assurance. CI involves the frequent merging of code changes into a shared repository, where automated tests are executed to detect integration issues early in the development process. 

This iterative approach ensures that the codebase remains stable and functional, facilitating faster delivery of updates and enhancements to users. Continuous Testing (CT) extends the concept of CI by automating the testing process further, allowing for rapid feedback on the quality of code changes. 

By integrating CI and CT into the development workflow, teams can detect and address defects sooner, resulting in higher software quality and faster time-to-market.

Implementing CI/CT Pipelines:

Implementing CI/CT pipelines involves setting up automated workflows that facilitate the seamless integration of code changes and the execution of automated tests. CI/CT pipelines typically consist of multiple stages, including code compilation, unit testing, integration testing, and deployment to testing environments. 

Each stage is executed automatically whenever changes are pushed to the repository, ensuring that the codebase is continuously validated and tested. CI/CT pipelines can be configured to trigger additional actions, such as notifying team members of failed tests or automatically rolling back changes that introduce critical defects. 

By streamlining the development process and providing immediate feedback on code quality, CI/CT pipelines enable teams to deliver software more reliably and efficiently.

Tools for CI/CT (Jenkins, GitLab CI, Travis CI):

Several tools are available to facilitate the implementation of CI/CT pipelines, each offering unique features and capabilities. Jenkins is one of the most widely used CI/CT tools, known for its flexibility and extensibility. 

GitLab CI, integrated into the GitLab version control platform, provides seamless CI/CT capabilities within the development environment. Travis CI is a cloud-based CI/CT service that automates the build and testing process for projects hosted on GitHub repositories. 

These tools offer various features, including support for multiple programming languages, integration with version control systems, and extensive plugin ecosystems, making them suitable for a wide range of development workflows.

CI/CT Best Practices:

To maximize the effectiveness of CI/CT pipelines, teams should follow several best practices. Firstly, it’s essential to maintain a clean and consistent codebase by adhering to coding standards and conventions. 

Additionally, tests should be comprehensive, covering both functional and non-functional requirements, and executed in parallel to minimize testing time. It’s also crucial to monitor the health of CI/CT pipelines regularly and address any failures promptly to prevent bottlenecks in the development process. 

Lastly, teams should strive for continuous improvement by regularly reviewing and refining their CI/CT practices based on feedback and lessons learned from previous projects.

Challenges and Considerations for CI/CT Adoption:

While CI/CT offers many benefits, its adoption can present challenges for development teams. One common challenge is ensuring the reliability and stability of automated tests, as flaky or unreliable tests can undermine the effectiveness of CI/CT pipelines. 

Another challenge is managing the infrastructure required to support CI/CT workflows, including hardware resources, build agents, and testing environments. Additionally, integrating CI/CT into existing development processes and workflows may require changes to team culture and practices, which can encounter resistance from stakeholders. 

Despite these challenges, the benefits of CI/CT adoption, including improved code quality, faster delivery cycles, and reduced time-to-market, make it a worthwhile investment for software development teams.

10. Test Data Management

Importance of Test Data Management:

Effective test data management is essential for ensuring the accuracy and reliability of automated testing in software development projects. Test data serves as the foundation for running tests and validating the functionality of the software. 

Without proper management, test data may be inconsistent, outdated, or insufficient, leading to inaccurate test results and potential errors in the application. 

By managing test data effectively, developers can create a controlled environment for testing, replicate real-world scenarios, and identify potential issues early in the development process. This ensures that the software meets the desired quality standards and user requirements before deployment.

Strategies for Generating Test Data:

There are various strategies that developers can employ to generate test data for their automated testing efforts. One common approach is to manually create test data based on known input-output scenarios and edge cases. However, this method can be time-consuming and may not cover all possible scenarios. 

Alternatively, developers can use data generation tools and frameworks to automate the process of creating test data. These tools can generate large volumes of realistic data quickly and efficiently, helping developers simulate diverse usage scenarios and uncover potential bugs.

Data Masking and Anonymization:

In situations where sensitive or confidential data is involved, such as personal information or proprietary business data, data masking and anonymization techniques can be employed to protect privacy and comply with data regulations. 

Data masking involves replacing sensitive information with fictional or scrambled data while preserving the data’s format and characteristics. 

Anonymization goes a step further by removing identifying information altogether, making it impossible to trace the data back to individual users or entities. By implementing these techniques, developers can ensure that test data remains secure and compliant with privacy requirements.

Test Data Refresh and Maintenance:

Test data can become stable over time, especially in long-running projects with frequent changes to the codebase. To maintain the relevance and effectiveness of automated tests, developers must regularly refresh and update the test data. 

This involves periodically resetting the test environment to a known state, removing obsolete data, and adding new data to reflect changes in the application. Test data maintenance also includes monitoring data quality, resolving inconsistencies or errors, and optimizing data storage and retrieval processes. 

By keeping test data up-to-date and accurate, developers can trust the results of their automated tests and make informed decisions about the software’s quality and readiness for release.

Tools and Technologies for Test Data Management:

Several tools and technologies are available to assist developers in managing test data effectively. These tools range from simple data generation libraries and scripts to comprehensive test data management platforms and solutions. 

Some popular tools include Faker for generating realistic test data, DbUnit for managing database fixtures, and Data Masker for anonymizing sensitive data. 

Additionally, many integrated development environments (IDEs) and test automation frameworks offer built-in support for test data management, allowing developers to seamlessly integrate test data generation and manipulation into their testing workflow. 

By leveraging these tools and technologies, developers can streamline the test data management process and improve the efficiency and reliability of their automated testing efforts.

11. Conclusion

In conclusion, Automated Testing in Software Development is not just a beneficial practice; it’s a necessity in today’s fast-paced development environment. 

By adopting automated testing techniques and leveraging the right tools, software development teams can streamline their testing processes, improve software quality, and reduce time-to-market. 

From unit tests to end-to-end testing, the range of automated testing methods available empowers developers to catch bugs early, prevent regressions, and deliver more reliable and robust software solutions. 

As technology continues to advance, investing in automated testing will remain essential for ensuring the success and competitiveness of software projects in the ever-changing digital landscape.

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FAQs

Q1. What is automated testing?

Automated testing involves using software tools to execute pre-defined tests on a software application, ensuring functionality and reliability.

Q2. What are the benefits of automated testing?

Automated testing saves time and resources, improves software quality, and enables early detection of bugs and regressions.

Q3. Which tools are commonly used for automated testing?

Popular automated testing tools include Selenium, Cypress, JUnit, NUnit, and TestNG, offering diverse features and capabilities.

Q4. How does automated testing integrate with continuous integration?

Automated testing seamlessly integrates with continuous integration pipelines, allowing for automated testing at each stage of development.

Q5. What are the best practices for successful automated testing?

Best practices include writing independent and repeatable tests, managing test data effectively, and incorporating continuous testing into the development process.

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