Eliminate Testing Roadblocks and Enable Continuous Testing

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 various LLM providers like OpenAI and Azure OpenAI further aids continuous testing by generating code fixes for selected static analysis findings.

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 live unit testing in the IDE that identifies and executes 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 leverage test impact analysis in the CI/CD pipeline to accelerate in-sprint testing cycles for faster testing feedback.

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CASE STUDY |

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

Read Case Study

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 automatically identifying and executing impacted test cases locally with Jtest’s IDE-integrated Live Unit Testing.
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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Screenshot of Parasoft SOAtest's change advisor module, which enables users to compare two versions of a service definition file to create a visual change template that can be applied to a test suite to bulk refactor test cases impacted by API change.

Stabilize Test Environments and Eliminate Disruptions

In continuous testing workflows, unstable or unavailable system dependencies can disrupt automated pipelines. By simulating dependent systems, your team can execute tests uninterrupted—no matter the state of the live environment.

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How It Works

Your testing teams can simulate unavailable, incomplete, or unstable services with virtual assets that behave like real systems with Parasoft Virtualize by:

Leveraging AI-powered virtual service creation using the agentic AI Assistant, which builds virtual services from natural language—even before a definition file or endpoint exists.
Creating virtual services through service definition files or request/response pairings and codeless configuration capabilities.
Using learning mode to automatically generate and update virtual services through continuous traffic recording when system behavior or endpoints change.

Virtualize also supports the generation of virtual test data, giving your teams access to the right data when and where they need it. By removing both environment and test data constraints – and automatically failing over to virtual services when live systems go offline—you get reliable, uninterrupted continuous testing.

Read Blog: Accelerating Service Virtualization Adoption With Agentic AI »

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.

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Text on left in top image: Reduce text execution time with TIA in your CI/CD pipelines with an image of a female developer running CI with test impact analysis reducing her text execution time by 90%. The bottom image is a bar graph showing the time saved by comparing five sets of builds with TIA versus without TIA.

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 »

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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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