Name: ISO 26262 Compliance in Testing Automotive Software
Start: 2021-09-10T14:52:00Z
End: 2021-09-10T14:52:41.000Z
Location: BrightTALK
Rating: 2.5

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.

The automotive industry has been transforming from internal combustion engines (ICE) to autonomous driving assistance systems (ADAS) and electric vehicles (EV). It's now entering into a new era of software-defined vehicles (SDV).  

SDVs bring technological changes to the automotive architecture by introducing zonal gateways, high-speed Ethernet links, Time-Sensitive Networking (TSN) technology, and more. The gains include faster processing speeds, large storage capacities, better data security, and scalability. With the new development of a safety- and security-critical SDV platform for the future in automotive comes new challenges in software testing. Challenges that the Parasoft Continuous Quality Platform supports for every testing need include static code analysis, web UI testing, code coverage, unit testing, API testing, service virtualization, and more. 

Join us to discuss SDV technology, the business impact on consumers, OEMs and watch a live demo on one of our flagship solutions for embedded software, C/C++test with DTP's reporting and analytics dashboard.  

Key takeaways: 
• What is a software-defined vehicle? 
• How will SDVs affect consumers? 
• What impact do SDVs have on automotive manufacturers? 
• Enjoy a demo of C/C++test.

Automotive Software Testing for SDVs

Are you looking for ways to help your Java dev team meet their looming deadlines and free up more time for feature development? Adding more people doesn’t necessarily help with tight sprints since it takes a while to ramp up new developers.  

Unlock a new level of productivity to maximize output and minimize overhead. Invest in tools that help your developers deliver quality code faster. Most Java developers prefer to spend time writing code rather than testing it, so making unit testing easier has both short-term and long-term benefits. If they don’t have the time or skill to write or run unit tests, let our AI do it for you! 

Join this session to learn how Parasoft’s automated unit testing solution can improve your team’s efficiency: 
• Generate JUnit tests for existing and new code with one click. 
• Achieve 60% code coverage in under 5 minutes. 
• Reduce testing time by focusing on modified code. 
• Simplify and accelerate unit testing for developers.

Make Your Java Dev Team More Productive With AI-Led Unit Testing

Does your web UI testing achieve the repeatable and maintainable test automation that you need to validate the application’s functionality efficiently? 

As applications become more complex with underlying microservices and integrated architectures, testing strategies need to adjust to a Lean UI approach and incorporate API testing to test the application's functionality more efficiently and thoroughly. Combining this with AI-powered test automation, QA teams can easily and rapidly double their test suites and boost testing ROI. 

Join this session to learn about:  
• Why organizations are adopting Lean UI testing principles to scale regression testing.  
• How to increase testing ROI by expanding beyond web UI testing. 
• How to leverage AI to quickly create API test suites from existing web UI tests.

Use AI to Double Your Test Suite for a Higher ROI

Panelists: 
David Rubenstein, COO of D2 Emerge LLC, Editor-in-Chief of SD Times – moderator 
Stuart Wallis, Director, API & Application Performance Testing, CIBC
Manish Panchal, Vice President, Test Automation Architect, Bank of America
Wilhelm Haaker, Director, Solution Engineering, Parasoft

Organizations that want to modernize and mature their testing processes are expanding the use of API testing within their DevOps workflows. Functional API testing serves as a foundation for load, performance, and security testing. This panel will discuss how to shift API testing left to achieve quality and schedule targets. They'll also address topics including key metrics, release milestones, best practices, and more.

Panel: Tips and Tricks for API Testing Best Practices

In the effort to achieve software compliance, static code analysis helps developers discover safety violations and vulnerabilities that should be fixed. However, it can generate an abundance of issues without providing guidance on what’s important and what’s noise.  

Integrating AI into a static analysis tool makes it possible to automatically prioritize issues by determining their importance and risk. Generative AI can further enhance the static analysis process by recommending how to remediate violations that your SA tool has discovered. Your team can focus on fixing the real issues that must be addressed to reach compliance. 

Key takeaways: 
• Prioritize static analysis violations with AI-enabled testing. 
• Perform triage to identify and rank the most critical issues. 
• Use generative AI to remediate violations and vulnerabilities.

Accelerate Software Compliance With AI

Preparing your software application to handle peak loads and high-volume conditions is vital, whether your business is seasonal operations like e-commerce during holiday seasons, a ticketing system for big events, a live streaming service hosting the World Cup, or a financial institute that must provide seamless transactions.  

Load and performance testing, along with the creation of a simulated environment for testing, is your key to success. This combination provides the understanding of how your application will behave under high-stress circumstances and ensures stability and performance. 

In this webinar, we’ll discuss how to: 
• Reuse API tests to integrate load and performance testing into your CI/CD workflow. 
• Simulate a real end user experience without the cost of a complete performance testing environment. 
• Leverage virtual data for on-demand performance testing and bypass the constraints of production data.

Stressed About Performance Testing? Simulate It!

In the defense sector, many applications targeted for the development of new features supporting new requirements frequently leverage inherited codebases from earlier iterations of the system, integration source libraries, third-party subsystems, and so on.  

This inherited code is often not well understood and begs questions. 
• How well was this code tested before?  
• How safe and secure is the code we’re about to use?   
• How do I reduce the risk of breaking existing functionality as we evolve the code?  

On the journey toward successful delivery of these systems, it’s important to understand where you’re starting from in order to know where success is going to lead you.  

Join Parasoft on July 27 to learn how programs across the defense sector are using Parasoft's C/C++test solution to quickly baseline an in-depth understanding of inherited code while also creating the foundation for its safe evolution going forward.

Inheriting Legacy C/C++ Code: Where Do I Start?

Charter Communications offers broadband and cable services to over 32 million customers. To ensure customer satisfaction, they perform extensive testing across internal system components and downstream applications. When third-party services aren’t available, they use service virtualization to eliminate endpoint dependencies, manage test data, and identify performance risks, which reduces testing costs and time.

How Charter Communications Uses Service Virtualization to Improve Testing

MISRA completely dominates the landscape of coding guidelines for safe and secure C and C++ code. MISRA C in particular is a go-to standard for embedded dev teams. It's essential for these teams that write embedded C and C++ code to get complete coverage for the new coding guidelines introduced in MISRA C 2023 and MISRA C 2012 AMD4.

Join this session to learn how Parasoft, a participant in MISRA's C and C++ working groups, can help your organization achieve the most complete coverage.
• Learn about the structure of the MISRA C standard and the role of supporting documents.
• Discover essential restrictions in the use of atomics and multithreading.
• Watch a live demo showing coding compliance to MISRA C 2023 in a CI/CD workflow.

Speakers: 
Ricardo Camacho, Director Regulatory Software Safety & Security Compliance Product Management
Miroslaw Zielinski - Director of Product Management
Michal Rozenau - Project Lead Software Engineer Development

MISRA C 2023: What You Need to Know

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

Software testing has gone through major changes recently. With Agile and DevOps workflows, it’s shifting both left and right, from mainly manual to more automated. Additionally, testing tools have evolved from standalone tools to integrated platforms with broad support. Forrester’s research highlights evolving testing trends, including testing platforms and artificial intelligence (AI), such as TuringBots in the loop.

Revolutionizing Software Testing: The Power of Generative AI With TuringBots

Demo on how to do AI-enhanced unit testing with Parasoft Jtest

As a Java software developer, you probably prefer to write new code to create features or enhancements instead of tweaking legacy code. But legacy applications are often the foundation for new functionality. So how do you make sure your additions to the legacy code don’t break the original code base? 

You need to ensure the legacy app functionality can be verified after you submit changes to the branch. The best way to do that is to capture its current behavior – before changes are made – with a tool that automatically creates meaningful unit tests. This will give you confidence that the overall application still satisfies the operating requirements while expanding its capabilities. 

See a demo to learn how you can use AI-enhanced unit testing to:
 • Automatically create good quality unit tests for legacy and modified code. 
 • Ensure modified code meets coverage targets. 
 • Enable you to spend more time on feature development.

Don’t Break the Code! Verify Coverage for Legacy Code Updates

As AI evolves and expands its usability across more use cases, companies are evaluating how to take advantage of it within their test environments. In this session, Nathan and Igor will discuss applications of AI for software testing from GPT to aspects currently incorporated into Parasoft tools.

Expanding the Evolution of AI in Software Testing

In today's digital landscape, many organizations have migrated applications to the cloud. When the applications haven’t been optimized, they can face performance problems that impact user experience, productivity, and cost. Performance engineering practices can identify and resolve those issues. Scott Moore will discuss the value and benefits of performance engineering and the need for cloud application optimization.

The Importance of Performance Engineering in Cloud Migrations

Specific testing methods depend on the Automotive Safety Integrity Level (ASIL) classification of the system. To address safety and security from the get-go, MISRA C 2012, AUTOSAR C++14, CERT, or a custom hybrid are known to be used in achieving code quality across suppliers and primes.

The cost of achieving ISO 26262 compliance in software testing can be expensive. In this presentation, learn how to reduce costs through automating the multiple testing methods required by the standard to produce safe, secure, and reliable software.

Key takeaways:
 * Apply static analysis for software safety and security.
 * Expedite your unit testing with test automation.
 * Understand the various structural code coverage options.
 * Identify requirement traceability gaps in testing.

ISO 26262 Compliance in Testing Automotive Software

ISO 26262

Testing

Test Automation

AUTOMOTIVE

Security

Compliance

Compliance Testing

Application Security

Application Delivery

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ISO 26262 Compliance in Testing Automotive Software

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