Prevent, detect, and remediate defects early in the SDLC with Parasoft’s AI-powered, ML-driven
software testing solutions that integrate quality into the software development process.
Read Blog: AI-powered, ML driven software testing solutions »
Optimize the development, testing, and execution of static analysis tests with AI-enhanced technology for the following coding languages: C, C++, C#, VB.NET, and Java.
Jump to: Static Analysis »
Generate Java tests in bulk mode or individually crafted to reach high coverage of existing code with AI-enabled unit test creation.
Jump to: Unit Testing »
Convert UI tests into complete, automated API test scenarios with assistance from the Smart API Test Generator.
Jump to: API Testing »
Leverage ML to self-heal Selenium tests during execution and receive guidance in the IDE environment to fix them automatically.
Jump to: UI Testing »
“Parasoft doubles down on infusing AI capabilities into its platform. It has undisputed strengths in API testing made easy with AI and integrated with its service virtualization offering. Shift-left performance testing for converged functional and performance testing and its long-time mature analytical reporting are also strong features….
“Parasoft can rave about its ‘built here, not acquired’ product and innovation approach, which strengthens a consistent experience across all testing types.”
Diego Lo Giudice, Forrester Vice President and Principal Analyst
Parasoft solutions apply AI and ML to the static analysis workflow to prioritize rule violation findings.
Development teams immediately reduce the manual effort to adopt and use static analysis, improving productivity.
A common roadblock to adopting static analysis tools successfully is managing a large number of warnings and handling perceived false positives. Whatever the compliance requirements—MISRA, CWE, OWASP, and more—our automated static analysis tools enhanced with AI and ML flag and prioritize the rule violations that the team needs to fix first.
A hotspot detection engine works with an advanced AI-based model to assign violations to developers matching their best skills and experience—learning from violations they fixed in the past.
Perform static analysis, unit testing, and code coverage to develop high-quality C and C++ code that is robust, safe, secure, and compliant with industry standards.
C/C++test is made for today’s high-velocity Agile DevOps environments. It integrates tightly into your CI/CD pipeline and containerized deployments.
Cut down on labor, costs and expedite time to market by automating compliance verification and validation demands, including reports and audit trail.
Parasoft’s AI/ML solution reviews static analysis findings, then organizes, predicts relevance, and prioritizes code violation findings.
Achieve static code analysis, unit testing, and high code coverage with JUnit to accelerate the delivery of secure and reliable Java applications.
Get a complete view of quality and compliance with aggregated reports and advanced analytics across Parasoft testing solutions.
Achieve static code analysis, unit testing, and high code coverage with JUnit to accelerate the delivery of secure and reliable Java applications.
Jtest integrates tightly into your CI/CD pipeline for real-time static analysis, unit testing, and code coverage testing.
Jtest users can easily generate, augment, and reuse unit tests with AI assistance, reducing costs and time.
Jtest provides code coverage compliance and visibility into what code has been tested and how thoroughly.
Perform static analysis, unit testing, and code coverage to develop high-quality C and C++ code that is robust, safe, secure, and compliant with industry standards.
Reduce the risk of C# or VB.NET development in the Microsoft framework with deep static analysis, security, and coverage for enterprise and embedded applications.
Reduce the risk of C# or VB.NET development in the Microsoft framework with deep static analysis, security, and coverage for enterprise and embedded applications.
dotTEST helps users improve code quality, identify security vulnerabilities by applying CWE, OWASP and other standards.
dotTEST integrates tightly into your CI/CD pipeline for real-time, static analysis findings of C# and VB.NET codebases.
Teams can view test results on the desktop, web, or in static HTML reports, regardless of where they were executed.
Perform static analysis, unit testing, and code coverage to develop high-quality C and C++ code that is robust, safe, secure, and compliant with industry standards.
Achieve static code analysis, unit testing, and high code coverage with JUnit to accelerate the delivery of secure and reliable Java applications.
Our static analysis solutions enhanced with AI assist developers to triage and prioritize the number of violations so they can focus on higher priority issues.
Drop in developers’ average amount of time required to fix or suppress a problem.
Average reduction of time required to fix a single violation for the entire team.
Applying AI to Parasoft’s software testing solution for Java developers, teams achieve higher code coverage and
significantly cut the time and effort required to build a comprehensive and meaningful suite of Junit test cases.
Java development teams can use Parasoft’s Jtest enhanced with AI to create higher quality unit tests and increase code coverage with the following capabilities.
Achieve static code analysis, unit testing, and high code coverage with JUnit to accelerate the delivery of secure and reliable Java applications.
Jtest integrates tightly into your CI/CD pipeline for real-time static analysis, unit testing, and code coverage testing.
Jtest users can easily generate, augment, and reuse unit tests with AI assistance, reducing costs and time.
Jtest provides code coverage compliance and visibility into what code has been tested and how thoroughly.
Perform static analysis, unit testing, and code coverage to develop high-quality C and C++ code that is robust, safe, secure, and compliant with industry standards.
Reduce the risk of C# or VB.NET development in the Microsoft framework with deep static analysis, security, and coverage for enterprise and embedded applications.
Acceleration in unit test generation.
Reduction of test execution time in the CI/CD pipeline.
Accelerate API test creation by converting UI tests into complete, automated API test scenarios
with the combined power of AI and ML in Parasoft SOAtest’s Smart API Test Generator.
The automatically generated API tests are reusable, scalable, and resilient to change.
Using reasoning to understand the patterns and relationships in the different API calls made while exercising the UI, the Smart API Test Generator takes the analysis of traffic to construct a series of API calls that represent the underlying interface calls made during the UI flow.
Next, it applies ML by observing what it can about the different API resources and storing them as a template in a proprietary data structure. This internal structure is updated by examining other test cases in the user’s library to learn different types of behavior when exercising the APIs. Examples of this could be an assertion or adding a specific header in the right spot.
AI’s goal is to create more advanced tests, going beyond just repeating what the user was doing. Here’s a step-by-step rundown of how the Smart API Test Generator works:
Simplify API functional, load, and security testing and improve software quality with AI-enhanced test automation within your CI/CD pipeline.
Use a single, intuitive interface to automate complex API functional, load, and security testing scenarios.
AI-driven change impact analysis continuously monitors APIs and streamlines test refactoring efforts.
Gain immediate and intelligent feedback for smarter API testing and on-time releases.
When access to real data and services is limited, use service virtualization to create simulations and test anything, anytime with realistic virtual services.
Create reliable Selenium web UI tests using recordings and maintain them with AI-powered self-healing and recommendations.
Sabre turned to AI-powered automated test case generation and execution as a primary goal to deliver quality services.
Reduced the time and effort to certify a new service by 67%.
Saved annually with productivity gains.
Optimize testing and save critical time on Selenium web UI tests with self-healing capabilities provided by machine
learning and AI technologies, especially in cases when UI elements of web pages are moved or modified, causing
tests to fail. Parasoft Selenic analyzes the test execution results, identifies the bad locator or wait condition, and
recommends a fix for the test.
The widely adopted Selenium UI test automation framework for UI testing leaves users struggling with two common Selenium testing challenges: maintainability and stability. Combining AI technologies and machine learning, development teams can put Parasoft Selenic to work to efficiently accomplish the following.
Create reliable Selenium web UI tests using recordings and maintain them with AI-powered self-healing and recommendations.
Supercharge your existing JUnit, TestNG, or Cucumber Selenium web UI testing with Parasoft Selenic.
Capture UI recordings with application-specific locators and assertions to decrease test creation time by 30% or more.
Integrate AI-powered self-healing into your CI/CD pipeline to reduce the noise from unstable tests.
Simplify API functional, load, and security testing and improve software quality with AI-enhanced test automation within your CI/CD pipeline.
Achieve static code analysis, unit testing, and high code coverage with JUnit to accelerate the delivery of secure and reliable Java applications.
Prior to Caesars automating testing with AI-optimized Parasoft Selenic, executing UI tests took excessively long—many days.
Improvement in UI testing by moving from manual to automation.
