Parasoft is showcasing its latest product innovations at embedded world Exhibition, booth 4-318, including new GenAI integration with Microsoft Visual Studio Code (VS Code) to optimize test automation of safety-critical applications while reducing development time, cost, and risk.
Infostretch announced a new suite of services to harness the power of data analytics for more intelligent, efficient software test automation.
Using artificial intelligence and machine learning algorithms, Infostretch’s Predictive and Prescriptive QA services not only help organizations leverage test automation data, but also help anticipate defects early to speed cycle time and improve quality.
Infostretch’s Predictive and Prescriptive QA harnesses the power of analytics to help organizations streamline and speed up test automation and accelerate their digital maturity. It allows organizations to take full advantage of the insights held in the large volumes of structured and unstructured data available from defect management tools and test automation results.
Infostretch’s Predictive and Prescriptive QA leverages Quality Engineering expertise, processes and tools such as QMetry Wisdom to help organizations:
- Reduce testing cycles by optimizing testing processes
- Predict defect ranges and the risk of modules for next versions
- Assess application lifecycle efficiency drivers
- Prioritize under-performing test use cases for greatest impact
- Identify the right types of testing and resources needed for optimization
- Convert unstructured data to usable information to optimize test automation.
“Machine learning and artificial intelligence techniques are rapidly re-defining the technology landscape. Now there is a way for organizations to leverage these techniques to speed up the software lifecycle and improve quality of outcomes,” said Rutesh Shah, Infostretch CEO and Co-Founder. “With Predictive and Prescriptive QA, enterprises can take full advantage of powerful data analytics and intelligence to maximize test automation efficiency and effectiveness.”
“AI technologies are profoundly disrupting software development,” said Katy Ring, Research Director, 451 Research. “Technologies such as machine learning, natural language processing, deep analytics and business rules are enhancing what’s possible at every stage of the lifecycle. Infostretch’s Predictive QA has been developed with enterprise test automation in mind to enable them to leverage a range of AI technologies.”
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