Name: Pros & Cons of Generative AI in Software Testing
Start: 2023-07-18T16:00:00Z
End: 2023-07-18T16:00:44.000Z
Location: BrightTALK
Rating: 4.7

The innovation you need. The experience you trust. From development to QA, Parasoft’s comprehensive suite of software testing solutions reduces the time, effort, and cost of delivering secure, reliable, and compliant software. Leverage our AI-infused suite of automated testing tools to drive continuous quality practices throughout your development pipeline. www.parasoft.com

AI is moving fast—and so is the pressure on teams to keep up. As 2026 begins, many QA and development leaders are asking the same question: How do we make AI actually helpful, not overwhelming?  

Join Forrester analyst Devin Dickerson, experts from Parasoft, and Bhanu Miryala, QA automation lead at Northbridge Financial, for a candid conversation about what’s really happening in software testing and where AI can genuinely make life easier for teams. 

In this lively panel, we’ll dig into: 

How AI-driven automation is taking on the heavy lifting—without adding chaos to your pipeline. 

What it actually looks like to test AI-generated code and AI-powered applications. 

A real-world perspective from Northbridge on introducing AI and automation inside a regulated enterprise. 

How teams can meet rising compliance expectations while still moving fast—and staying sane. 

If you want a fresh, honest take on AI and testing—not hype—this is the perfect way to kick off 2026.

AI in Software Testing: What’s Real. What’s Hype. What Actually Helps in 2026.

Introducing C/C++test & C/C++test CT 2025.2 

Whether your focus is on improving code quality, safety-critical compliance, AI-powered automation, or expanding development toolchains, this session will show you how the latest releases of C/C++test and C/C++test CT 2025.2 will elevate your static code analysis and testing experience. 

Join our experts who will guide you through the key highlights. 

• MCP server for AI agentic testing. The new MCP server enables AI agents to autonomously run static analysis, fix code issues, generate tests, and capture coverage. 

• Protection for GPU, AI, and embedded code. Running static analysis directly on .cu files for CUDA C/C++ enables you to apply standards like MISRA, AUTOSAR C++14, and CERT across CPU and GPU environments for unmatched consistency and confidence throughout your entire code base. 

• Certified C/C++test CT extends compliance to GoogleTest. Our TÜV SÜD certification extends to GoogleTest in January 2026 so you can use a trusted open-source GoogleTest framework while generating the certified evidence you need for compliance. 

• Precision-tuned coding standards: Streamline triage and reporting with prioritization schema and enhanced rules accuracy for MISRA, AUTOSAR, CERT, JSF, and HICPP. 

• Extended support for a broader ecosystem. Integrations with Hexagon Clang 19, QNX GCC 12, NVIDIA CUDA 12.8, TI ARM Clang 3.2, IAR RISC-V 3.x, and Eclipse 2025-06 are available. 

Don’t miss this opportunity to see a demo on how C/C++test 2025.2 empower teams to accelerate compliance, improve code quality, and innovate with confidence.

AI-Enhanced Roadmap to Code Quality & Compliance

Feeling overwhelmed by the sheer volume of manual test cases you’re expected to run in a short time frame? It’s a common problem. Manual regression testing often turns into a race against the clock—forcing testers to choose between running everything or taking shortcuts and risking bugs slipping through the cracks. 

In this webinar, you’ll learn how intelligent automated test selection helps manual testers focus only on the tests impacted by application changes. By running the right tests—not all the tests—you’ll save time, reduce repetitive effort, and gain confidence that critical defects won’t be missed. 

The result: faster cycles, fewer escapes, less stress, and stronger releases. 

Join our panel of industry experts as they share practical strategies to make every test run count and keep manual regression testing aligned with Agile development. 

-Learn how to run only the tests that have been impacted by code changes  

-Hear how intelligent focused test selection keeps manual regression testing in sync with Agile development 

-Discover how smarter testing means less stress and faster releases you can trust

Too Many Tests, Too Little Time: Smarter Ways to Tackle Manual Regression Testing

The rapid evolution of software-defined vehicles (SDVs) is transforming automotive development, bringing unprecedented complexity, integration challenges, and safety expectations. Traditional software testing practices no longer keep pace. 

This webinar explores how modern, automated, and AI-enhanced testing approaches are redefining quality assurance for embedded automotive systems. Learn how extending GoogleTest with Parasoft’s tools makes safety-critical validation seamless and efficient, empowering teams to accelerate innovation without compromising safety, security, or compliance. 

Join us to learn how to: 

Shift testing left to detect defects earlier with static analysis and automated unit testing. 

Integrate safety, security, and compliance into your development pipeline with CI/CD-driven workflows. 

Leverage AI and machine learning to prioritize critical issues, suggest intelligent fixes, and streamline compliance reporting. 

Extend open-source frameworks like GoogleTest for safety-critical verification and validation.

Modernizing Software Testing for Embedded Systems in SDVs

Panel Discussion: Featuring Guest Speaker Diego Lo Giudice, VP & Analyst at Forrester Research

AI-powered testing is growing, but manual testing is taking a different trajectory. From writing and repeating tests to reviewing AI output and acting as an orchestrator, the tester’s role is shifting. How do you know what should stay manual, and where you can reliably use AI to help you today? 

Join Nathan Jakubiak of Parasoft and guest speaker, Diego Lo Giudice of Forrester Research,for a fireside chat on market trends, including why ‘vibe coding’ requires ‘vibe testing’, and the evolving role of QA in an AI-driven software development lifecycle (SDLC).

You’ll get new perspectives on:

• The evolving role of manual testers. Why testers remain essential, and how adopting AI and developing prompt engineering skills will keep you relevant in the AI era.

• AI’s impact on the testing pyramid. How teams can apply AI to scale testing benefits while preserving the structure of proven methodologies.

• What stays human. Why tester judgment on things like “is this good enough,” UX fit, and business coverage is critical in an AI-enhanced SDLC.

Don’t miss this opportunity to gain expert insights from Forrester and Parasoft on how to evolve your QA strategy and thrive in the era of AI-powered development.

The Gaps in AI-Powered Testing and What’s Still Manual

There’s a path to shorter release times your team may not be taking advantage of: maturing your test process. Here’s how. 

This webinar brings together Experimentus, the global leader in TMMi (Test Maturity Model integration) assessments, and Parasoft, a pioneer in intelligent test automation, to explore how test process maturity and modern tooling intersect. 

See how teams use TMMi to establish best practices while using service virtualization to eliminate bottlenecks, enable earlier testing, and achieve measurable ROI. 

Join us for practical guidance drawn from decades of TMMi experience and see how to transform ad hoc testing into a strategic driver of speed and stability. 

You’ll learn how: 

- TMMi helps cut costs, improve quality, and speed up delivery 
- Tools like service virtualization remove testing roadblocks 
- AI-driven tools can help teams accelerate their automation maturity 
- To make testing a business enabler with real-world tips 

Don’t miss this opportunity to learn how you can help your team’s testing from an angle they may not be thinking of. Register now to secure your spot.

Driving Efficiency and Speed Through Test Process Maturity

Things change every day. Sorting through your options for an API-testing solution is hard as it is, but how do you know what matters today will matter tomorrow? If you agree, you’ll find this practitioner-analyst led research from GigaOm valuable.

Software testing teams need a solid API-testing framework that weaves functionality and reliability with a scalable, sustainable approach. Research, like the latest GigaOm Radar Report on API Functional Automated Testing, is key to making an informed choice. 

We'll discuss: 
• What major trends are shaping the API testing landscape
• How AI is transforming the API testing landscape
• Key API testing capabilities teams should consider when selecting a solution

Please watch this webinar with GigaOm, where we’ll explore the key findings from the report and host a panel discussion on what goes into choosing the API-testing vendor that best lines up with your everyday requirements.

What Sets a Top API Testing Solution Apart? Panel Discussion with GigaOm Research

How do you prove an autonomous flight system is safe, certifiable ready, and reliable – and do it faster – without the time and cost of designing a new aircraft from scratch?  

For Ribbit, a startup developing an autonomous autopilot for remotely piloted cargo aircraft, the answer was a proven-through-use strategy and retrofit approach. Fly real missions under remote supervision, produce evidence at every step, and build trust with regulators and customers. Allowing Ribbit to serve rural, remote, and coastal regions where traditional avionic options fall short. 

In this live fireside chat, Ribbit shares how they balanced rapid innovation with safety-critical rigor, resulting in over $1M in government contracts and approval for unmanned test flights. Their engineering team embedded compliance into the development workflow from day one and they are here to tell you all about it. 

They’ll discuss:  
•  Balancing rapid prototyping with safety-critical rigor in aerospace development  
•  Embedding compliance into CI/CD workflows to accelerate certification readiness  
•  Gaining regulatory confidence and a competitive advantage through standardized coding practices  

Hear how a proven-through-use strategy helped a small team outpace larger, better-funded competitors. And in the process lay the groundwork for a scalable, certifiable future in autonomous aviation.

A Modern Approach to Balancing Innovation and Safety in Autonomous Flights

GoogleTest is widely recognized as the de facto standard for unit testing in C++, prized for its flexibility, modern syntax, and seamless integration with popular development toolchains. However, GoogleTest alone doesn’t meet the rigorous compliance standards for traceability, code coverage, and certification required in regulated industries, like automotive, aerospace, medical, and rail. 

Join us for this informative webinar where we’ll explore how to successfully adopt GoogleTest in safety-critical development environments. You'll learn how Parasoft C/C++test CT enhances GoogleTest with powerful capabilities such as requirements traceability, MC/DC coverage, compliance reporting, and support for CI/CD pipelines. 

Discover how to leverage GoogleTest’s simplicity and readability while ensuring your testing workflow remains compliant, maintainable, and scalable. 

Key Takeaways 
• Best practices for using GoogleTest in regulated industries 
• How C/C++test CT extends GoogleTest with compliance-critical capabilities 
• What to consider before adopting GoogleTest in safety-critical projects 
• Insights into TÜV certification of GoogleTest

Integrating GoogleTest in Safety-Critical Systems With Confidence

Testing slows down when services you depend on aren’t ready, are unreliable, or aren’t easy to access. Service virtualization helps by simulating those missing or unstable dependencies—so you can keep testing, find issues sooner, and release faster.   

The ROI is proven: QA Financial found service virtualization increased defects found during QA by 33%, reduced critical defect escape ratio by 74%, and accelerated time to market by 40%. 

The challenge? It’s often too technical to scale without developer help. Until now. 

Join us to see how you can use this agentic AI-powered assistant to make service virtualization easy and fast for your team—no coding or deep expertise needed. Just describe what you need in natural language, and this industry-first AI builds the virtual service for you. 

You’ll learn how to: 
• Create data-rich virtual services in minutes 
• Simulate dependencies with natural language 
• Virtualize services without relying on developers 
• Keep testing moving when real services are unavailable 

We’ll also show a technical demo and take your questions during live Q&A.

Accelerate Testing With AI That Builds Test Environments for You

Regulators demand continuous evidence. Mission scope keeps expanding. AI is rewriting the rules of engineering.  

If you own software safety or delivery in the aerospace and defense industry, you’re probably dealing with these problems and looking for clear direction among the noise. 

That’s why we’re holding a session where you can ask the specific questions that get at what’s holding your program back. Join a live, open-mic session with long-time Aerospace and Defense advisor Gareth Noyes where he’ll cover: 

•  How to keep functional-safety proof in step with rapid code growth 
•  Where AI genuinely helps embedded teams and where it adds hidden risk 
•  What the DoD Digital Engineering mandate really means for your build, test, and release flow 
•  Practical first moves to shift hardware-bound pipelines toward DevSecOps without jeopardizing certification 
•  What leading primes and tier-ones are doing differently across avionics, space, and land systems 

Bring your questions or email us in advance at insights@parasoft.com.

Ask an A&D Expert: How to Modernize Embedded Software Without Risking Compliance

Start Time: 9am PDT / Noon EST 

AI and ML are revolutionizing safety-critical fields like autonomous vehicles, healthcare, and aerospace. These technologies offer remarkable autonomy and efficiency, but integrating them into resource-limited embedded systems where precision and safety are critical can be a significant challenge. 

To mitigate these challenges, it’s critical to implement strategies like model pruning, model freezing, and rigorous adherence to regulatory safety standards like ISO 26262 and IEC 62304. Join this webinar to learn about: 
• The evolution of embedded systems through AI/ML integration 
• Resource limitations and safety risks in critical deployments 
• Breakthroughs in hardware and algorithm optimization 
• Stabilizing AI/ML behavior for hazard-free operation

Ensuring AI/ML for Safety-Critical Embedded Systems

Manual testers are often left asking: What changed? What do I need to retest? Without clear answers, testing becomes broad, repetitive, and inefficient. 

Test impact analysis (TIA) brings clarity by identifying exactly which parts of the application were affected by recent code changes—so testers can prioritize and validate with confidence. In this session, we’ll show you how TIA helps teams eliminate guesswork, focus manual efforts where they count, and keep up with fast-paced release cycles. 

What you’ll learn: 
•  How TIA maps code changes to the manual testing scope 
•  Ways to reduce redundant testing  
•  How to increase test coverage confidence without expanding effort 
•  Best practices for aligning QA and development around change-based testing

How to Focus Manual Testing Where It Counts

Start time: 10am CEST 

AI and ML are revolutionizing safety-critical fields like autonomous vehicles, healthcare, and aerospace. These technologies offer remarkable autonomy and efficiency, but integrating them into resource-limited embedded systems where precision and safety are critical can be a significant challenge. 

To mitigate these challenges, it’s critical to implement strategies like model pruning, model freezing, and rigorous adherence to regulatory safety standards like ISO 26262 and IEC 62304. 

Join this webinar to learn about: 

• The evolution of embedded systems through AI/ML integration 
• Resource limitations and safety risks in critical deployments 
• Breakthroughs in hardware and algorithm optimization 
• Stabilizing AI/ML behavior for hazard-free operation

Ensuring AI/ML Safety in Embedded Systems

Webinar with Live  Q&A - Bring Your Questions! 

Dealing with slow test creation and incomplete coverage? Now you can be among the first to see new, simple ways you can use agentic AI to your advantage.

Join us as we unveil brand-new Agentic AI-powered capabilities, designed to transform how QA teams create, scale, and manage API tests. In this live session, you’ll hear from Parasoft testing experts on the current, real-world impact of agentic AI, and see a powerful demo of our SOAtest AI Assistant in action.

Here's what you’ll see in the live demo: 
• A firsthand look at how agentic AI generates complete API tests from simple prompts
• Real-time creation of test data tailored to your workflows
• How to automatically parameterize test cases
• Specific ways Agentic AI helps QA teams move faster and scale smarter

Whether you're looking to boost test coverage, accelerate automation, or stay ahead of the curve—this session will give you practical examples of what agentic AI can do for you.

Don’t miss the exclusive debut of this next-generation API testing experience, and see how easily you can improve your team’s process.

How Agentic AI Is Changing API Testing

For safety and security-critical software, every line of code counts. On top of that, modern software development requires speed, accuracy, and efficiency. Discover how your embedded development team can streamline compliance, fortify security, and accelerate development with Parasoft C/C++test 2025.1. The latest release tackles safety and security-critical software challenges by introducing AI-driven automation, expanded security coverage, auto-suppression of equivalent violations, and unmatched standards support. 

Join our webinar to learn how your team can reduce compliance burdens and boost productivity to stay ahead in an ever-evolving industry. We’ll cover how to: 

• Adopt MISRA C:2025 effortlessly and get complete support. 
• Leverage an AI documentation assistant to resolve queries faster and reduce context switching. 
• Cut noise with intelligent violation suppression that enables you to focus on critical issues by auto-filtering duplicates. 
• Strengthen security with 60+ new CWEs to expand SAST coverage for robust vulnerability detection. 
• Gain support for modern compilers including Intel OneAPI 2022.2, GCC 14, Clang 19, and ARM 6.22.

Test Smarter, Achieve Compliance Faster With Parasoft C/C++test 2025.1

You’re either using AI in testing or falling behind. 

AI is no longer a futuristic idea. It’s here, and it's reshaping the way we build software. Autonomous testing is taking center stage, promising smarter, faster, and more reliable development cycles. But how do you cut through the noise and set it up to work for your team?

It starts with strategy. Join us for a dynamic panel discussion featuring Diego Lo Giudice (VP & Principal Analyst, Forrester), Igor Kirilenko (Chief Product Officer & AI Testing Strategist), and Arthur Hicken (Evangelist). These experts will share how AI and autonomous testing are changing the lifecycle of development – from strategy to execution. 

You’ll learn:
• Ways to think strategically about AI in the SDLC
• How AI and autonomous testing will transform software development (and how it fits in your DevOps pipeline)
• The evolving role of human oversight in autonomous testing
• How to scale human expertise with Agentic AI
• Practical advice for organizations just beginning their AI-driven testing journey

Whether you're deep into AI-generated test automation or just starting to explore agentic AI’s testing 
potential, this session will give you tactical insights and actionable strategies to guide you.

Embracing AI and Autonomous Testing to Accelerate Software Delivery

** Webinar Time: 10:00am CEST  

The rail industry is undergoing a profound transformation through digitalization, integrating advanced technologies that enhance efficiency, safety, and the passenger experience. This webinar will explore how innovations such as IoT, big data analytics, AI, machine learning, and digital twin technology are revolutionizing rail systems.  

Central to this discussion is the new EN 50716:2023 standard, which supersedes EN 50128 and addresses the growing complexity of software development in rail applications. This standard introduces support for iterative development life cycles, modeling techniques, and the integration of AI/ML technologies. 

Watch to learn about EN 50716:2023’s critical role in guiding the future of software development in rail. 

Key Takeaways 
 • Understanding EN 50716:2023 
 • Iterative development and compliance 
 • Advanced technologies in the rail industry

The Impact of EN 50716:2023 on Rail Digitalization and Advanced Technologies

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 webinar, 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.  

Join us to hear about: 
• 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

Pros & Cons of Generative AI in Software Testing

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Software Development

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Pros & Cons of Generative AI in Software Testing

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