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Continuous Testing Tools for Software Quality
Eliminate testing roadblocks and enable continuous testing workflows to increase software quality and reliability. Feedback from continuous testing facilitates faster iterations.
Continuous Testing
Go Beyond Test Automation, Test Continuously
To stay competitive, teams must evolve beyond traditional test automation to continuous testing workflows. Embracing continuous testing ensures rapid feedback, consistent quality, and seamless integration with Agile development, empowering teams to deliver software faster and more reliably.
Continuous Testing for C/C++, Java, C#, and .NET
Ensure code quality and reliability with continuous testing workflows that incorporate static analysis, unit testing, and code coverage.
Jump to: Code Quality »
Create a Scalable Test Maintenance Strategy
Build resilient test cases and streamline test maintenance to increase the stability and velocity of test automation workflows and to easily scale.
Jump to: Maintain Tests »
Stabilize Environments for Continuous Testing
Ensure consistent, reliable test results and minimize disruptions caused by environmental instabilities or inconsistencies using controlled testing environments that support continuous testing workflows.
Jump to: Environments »
Orchestrate Test Cases in Continuous Automation
Easily orchestrate test cases in predefined live or virtual test environments with test data to enable continuous workflows while minimizing test failures unrelated to defects.
Jump to: Manage Tests »
Optimize CI/CD Pipelines
Leverage test impact analysis inside CI/CD pipelines for swift feedback on testing results by focusing verification efforts on app changes, speeding up Agile iterations and improving application quality.
Jump to: CI/CD »
Easy Deployment & Integration
Integrate Parasoft solutions with a diverse collection of CI/CD systems, ensuring compatibility and seamless operation across various development and DevOps environments.
Jump to: Integrations »
Track Quality With Reporting & Analytics
Ensure testing effectiveness and code quality by tracking meaningful metrics and creating visual reports that show progress and direct testing efforts to the most critical areas.
Jump to: Reporting »
Continuous Testing for C/C++, Java, C#, .NET
Continuous testing workflows that incorporate static analysis, unit testing, and code coverage integrated with CI/CD pipelines, ensure ongoing code quality and reliability. These workflows offer compliance to industry standards and provide valuable feedback to developers by detecting potential issues early and validating the functionality of individual components through automated tests.
How It Works
Static analysis finds potential issues early by examining code without execution, while unit testing validates individual components through automated tests. Code coverage then measures how thoroughly these tests exercise the code, helping to identify untested areas and ensure a more robust and reliable codebase.
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Jtest Static Analysis
Parasoft’s static analysis solutions for C/C++, Java, C#, and .NET enable continuous testing workflows by employing techniques such as pattern, flow, and metrics analysis and integrating code scans into CI/CD pipelines. For Java, C#, and .NET code bases, our static analysis Continuous Quality Assistant will automatically execute local code scans anytime a developer saves a file in the IDE. This ensures that new source code and code modifications are analyzed for flaws and security vulnerabilities before being checked into source control. Integration of IDEs with OpenAI and Azure OpenAI for Java, C#, and .NET applications further aids continuous testing by generating code fixes for selected static analysis findings, making it easier to resolve issues quickly and keeping the development process efficient.
With its AI-driven reporting and analytics, DTP enhances continuous testing by streamlining the prioritization and triage of findings, enabling development teams to concentrate on critical issues for a more efficient workflow.
Unit Testing
Parasoft’s unit testing solutions for C/C++ and Java automate and accelerate test creation while driving and analyzing code coverage, supporting continuous testing workflows in CI/CD pipelines. With code coverage solutions for C, C++, Java, C#, and .NET, Parasoft offers essential feedback on the completeness and thoroughness of the testing process. This feedback is crucial for any organization that values high-quality source code, as it correlates test results with code coverage to ensure comprehensive testing.
Java development teams can accelerate the validation of code changes with IDE integrated test impact analysis features that identify and execute unit test cases impacted by code modifications automatically every time the user saves a file, streamlining testing processes. Java, C#, and .NET application teams can also leverage test impact analysis in the CI/CD pipeline to accelerate in-sprint testing cycles for faster testing feedback.
CASE STUDY
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G3 Achieves Software Quality Goals With Static Code Analysis Solution
"Parasoft is one of our key partners in ensuring we do it right the first time. We employ 1,083 Parasoft rules within our continuous integration processes and don’t allow software to hit production systems until all defects found by Parasoft are addressed."
G3 Technologies
Create a Scalable Test Maintenance Strategy
A scalable test maintenance strategy is crucial for continuous testing. Without it, teams may struggle with overwhelming maintenance work, leading to disruptions in their continuous testing workflows.
How It Works
Parasoft provides testing teams with solutions to easily identify, execute, and update test cases impacted by application change. This minimizes the likelihood of test cases breaking during execution in CI/CD pipelines and enables teams to easily scale their test automation strategy without having to worry about a growing test maintenance burden that can slow down testing cycles and productivity.
- Use Jtest’s AI-enhanced bulk unit test generation options to rapidly generate test cases with maintainability as the primary requirement.
- Leverage the Jtest Unit Test Assistant for recommendations in the IDE on how to stabilize existing JUnits for heightened maintainability.
- Accelerate the validation of Java code changes by running test impact analysis in the developer IDE and automatically executing impacted test cases locally with Jtest’s IDE-integrated test impact analysis.
- Easily identify and refactor API test cases and API simulations that have been impacted by API changes with Change Advisor in SOAtest and Virtualize. Compare two versions of a service definition file to create a change template that can be applied to a complete test suite or virtual assets to automatically refactor impacted test cases or message responders.
- Reduce regression and build failures by leveraging Parasoft Selenic’s AI capabilities to automatically heal impacted Selenium test cases during execution in CI/CD pipelines.
Read Blog: API ROI: Maximize the ROI of API Testing »
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Stabilize the Environment for Continuous Test Automation
When executing test cases in a continuous automated workflow, it’s crucial to ensure that the test environment is stable and accessible. When an integration component of the test environment becomes unavailable or is unstable, test cases will fail, interrupting the continuous cycle of test execution.
How It Works
Service virtualization enables continuous testing workflows by simulating the behavior of dependent systems that are unavailable or difficult to access, allowing testing to proceed without interruptions.
Parasoft helps testing teams take control of their test environments and enables continuous test automation so they can do the following.
- Automatically test against virtual services when dependent services are unavailable, incomplete, unstable, or inaccessible for testing purposes.
- Use Virtualize’s learning mode to automatically generate virtual services and update existing virtual services when endpoints change.
- Automatically fail over from a live service to a virtual service when system dependencies become unstable or go offline during automated continuous test runs.
- Rapidly generate test data on demand, eliminating the delays common in traditional test data management that often cause testing downtime as teams wait for data to be provisioned.
Read Blog: 3 Obstacles to Continuous Testing & How to Remove Them »
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Orchestrate Test Cases in Continuous Automation
Key to successfully running test cases in continuous automation is to remove obstacles that may cause test failures and aren’t a result of a defect or vulnerability. Parasoft enables teams to seamlessly orchestrate test cases in live or virtual test environments, mitigating disruptions to test automation that stem from environment instabilities.
How It Works
Leverage Parasoft CTP in concert with Virtualize and SOAtest solutions to orchestrate the execution of test cases, provision virtual test data, and control the test environment during continuous testing. Minimize the likelihood of test failures due to external environmental factors or bad test data by:
- Provisioning individual virtual services or virtual test environments.
- Injecting test cases with realistic, safe, virtual test data.
- Configuring performance characteristics of virtual test environments.
- Executing the right test cases, on-demand or continuously, as a part of your CI/CD pipeline.
With Parasoft solutions, teams can easily collaborate and execute testing plans. They can see components involved in end-to-end testing flows to ensure each one has the correct data sources and endpoints to enable seamless cross-environment execution.
Read Blog: A Micro-Manifesto on Continuous Testing for DevOps »
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Optimize CI/CD Pipelines
The goal of continuous testing is to enhance the team’s agility and application quality. Achieving these objectives requires prompt feedback from testing, which necessitates optimizing how test cases are executed in the CI/CD pipeline.
How It Works
Parasoft helps C, C++, Java, and .NET development teams optimize their test strategies by providing visibility to target code quality and their testing efforts on the areas of the application with low test coverage or that have been impacted by application change and are high risk.
By collecting and analyzing the combined code coverage from unit testing and automated functional testing, including API, UI, integration, end-to-end, and microservices testing, software teams can determine when and where more testing is required to ensure release readiness. Parasoft’s coverage analysis can then be leveraged to optimize CI/CD pipelines and testing efforts with test impact analysis.
Our test impact analysis helps teams get testing feedback faster by limiting the scope of in-sprint testing to focus on the areas of the application that have experienced change. This enables teams to focus their testing efforts on the subset of test cases needed to validate code changes instead of rerunning their entire regression test suite.
When test suites are composed of thousands of test cases, executing a full regression is time consuming and often not feasible for in-sprint test cycles. This targeted approach ensures that testing efforts are focused on critical areas, enhancing the efficiency and effectiveness of the testing process. As a result, continuous testing practices become faster, leading to:
- Accelerated testing cycles
- Fewer regression and build failures
- Quicker feedback
- Higher quality of applications
Read Blog: Test Smarter, Not Harder: Shift Testing Left & Right With Test Impact Analysis »
DTP Deploy and Integrate Easily
For continuous testing workflows to be effective, testing tools must be easily integrated with various CI/CD systems. This ensures seamless operation and consistent alignment with development processes.
How It Works
Easily integrate into CI/CD pipelines such as Azure DevOps, Jenkins, GitLab, or GitHub using CLI interfaces and the Parasoft Findings plugins. Customize and enforce quality gates to automatically fail builds that surpass the project’s acceptable threshold for static analysis violations, code compliance requirements, test failures, or code coverage metrics.
Prebuilt Docker images for Parasoft solutions are available on Docker Hub for easy deployment into Docker-based environments including Kubernetes and OpenShift. Helm charts are also provided to assist in easy configuration.
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Track Quality With Reporting and Analytics
Get actionable insight into the effectiveness and thoroughness of testing efforts with Parasoft’s reporting and analytics platform, DTP.
How It Works
Test results scattered in multiple places can be challenging to track. Without bringing them all together in a centralized report to analyze all results and metrics, errors might fall through the cracks.
Parasoft DTP aggregates results from multiple testing practices, monitoring all available metrics continuously so that teams have greater visibility into what’s working and what isn’t. Leverage DTP to streamline the triage of static analysis findings with AI and ML so that developers can quickly identify remediation priorities.
- Streamline compliance with safety-critical and secure coding standards.
- Collect code coverage from unit testing, functional testing, and end-to-end testing to get a complete view of application coverage.
- Identify code coverage gaps and develop test strategies to target areas of low coverage.
- Review coverage for modified code to ensure all new or changed code is well tested and meets project code coverage requirements.
- Integrate with test management and requirements tracking systems like Jira, Codebeamer, Polarion, Jama Connect, and Azure DevOps to generate requirement traceability reports.
Read Blog: Metrics That Matter for End-to-End Testing »
Elevate your software testing with Parasoft solutions.