Pros & Cons of Generative AI in Software Testing

Generative AI tools like CoPilot and ChatGPT offer a 30-50% increase in software development productivity, but also come with potential risks of inaccuracies, “hallucinations,” and data privacy concerns. Governance of AI is in its infancy, so usage of this technology must tread carefully to ensure appropriate and consistent outcomes.

In this video, Parasoft’s Chief Product Officer, Igor Kirilenko, and Nathan Jakubiak, Sr. Director of Development, will discuss what’s going on in AI today, what they’re excited about, and practical applications of AI in the scope of software testing.

Topics Covered:
• The pros and cons of usage AI at its current stage
• Mitigation of risks by incorporating generative AI in software testing solutions
• Current and future use cases for applying AI to testing

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About Parasoft
Parasoft helps organizations continuously deliver quality software with its market-proven, integrated suite of automated software testing tools. Supporting the embedded, enterprise, and IoT markets, Parasoft’s technologies reduce the time, effort, and cost of delivering secure, reliable, and compliant software by integrating everything from deep code analysis and unit testing to web UI and API testing, plus service virtualization and complete code coverage, into the delivery pipeline. Bringing all this together, Parasoft’s award winning reporting and analytics dashboard delivers a centralized view of quality enabling organizations to deliver with confidence and succeed in today’s most strategic ecosystems and development initiatives — security, safety-critical, Agile, DevOps, and continuous testing.