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.
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.
“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.
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.
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:
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.
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.