Name: Why You Should Invest in Software Test Automation
Start: 2023-01-31T17:00:00Z
End: 2023-01-31T17:42:21.000Z
Location: BrightTALK
Rating: 0

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 evolution of artificial intelligence is a current hot topic. What exactly does it entail? Generative AI tools like CoPilot and ChatGPT offer a 30-50% increase in software development productivity, but also come with potential risks regarding application security and job security. Governance of AI usage is in its infancy, so implementations must tread carefully to ensure appropriate deployment. 

In this webinar, Parasoft product experts Renata Santillan and Adam Attanasio will discuss what’s going on in AI today, what they’re excited about, and how to discern the hype from the reality in the scope of software testing. 

Join us to hear about: 
• The pros and cons of incorporating AI in software testing. 
• Considerations for evaluating AI-enabled solutions. 
• Current and future use cases for applying AI to testing.

Pros & Cons of Generative AI in Software Testing

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

Achieving compliance with functional safety (FuSa) and security standards is an acute problem for many companies developing modern software driven systems. Addressing compliance at the end of the development lifecycle leads to costly mistakes and lost productivity. 

In these situations, there tends to be a team rush in activities towards complying with standards such as IEC61508, ISO26262, ISO21434, ASPICE, IEC 62304, and DO-178C. In addition to static code analysis, unit testing, code coverage, and requirements traceability, the validation of acceptable architectural principles, like modularity and cohesion, are becoming an important aspect of FuSa compliance. 

In this presentation, we'll demonstrate methods and approaches to integrate FuSa compliance through functional safety checks as part of your CI/CD GitLab driven development pipeline. Developers, DevOps engineers, and FuSa managers will learn how to: 

• Make functional safety compliance more agile. 
• Put functional safety compliance on autopilot. 
• Produce automated reports with progress towards compliance at every build

Achieve Continuous Compliance Through CI DevOps Automation

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

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

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

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

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

BCI implemented service virtualization to address internal and external issues that affected the service performance and costs of their banking application. Technology Solutions partnered with them for the implementation to reach a higher level of maturity. By virtualizing services, they stabilized and extended the test environment, decreased cycle times, and improved automated test execution in the DevOps toolchain.

BCI Builds Their Test Environments With Service Virtualization

Northbridge Financial’s insurance group develops applications that rely heavily on third-party APIs. They’ve implemented AI-powered test generation and execution for better scalability. They also use service virtualization to simulate APIs, increasing team productivity while minimizing costs and dependencies. Learn how they calculate ROI using KPIs including coverage, defect detection, and environment stability.

Northbridge Financial Scales API Testing to Increase Productivity & ROI

How do you get good test data that protects sensitive information without breaking the bank? Automated software testing can be expensive, especially for complex environments that interact with numerous APIs and downstream endpoints.  

Traditional test data management (TDM) can’t provide a low-cost method for generating data models and simulated datasets. By creating reusable virtual datasets for testing dependencies, you can reduce the cost of test automation and gain more control over your test data and environments. 

In this session, you’ll learn: 
• Why traditional test data management approaches are expensive. 
• Ways to create virtual test data with practical examples. 
• When and how to apply test data techniques to minimize cost and maximize reusability.

Control Test Automation Costs With Virtual Test Data

Customers expect a seamless omni-channel experience across web and mobile apps and services. Quality issues drive away customers. Fast. If your software doesn’t work as expected, users won't hesitate to find a different solution. A flawless customer experience is a primary deliverable for high-quality software, and it can't be achieved with traditional web UI testing alone. 

Essential to delivering continuous quality is test automation, smarter AI, and an end-to-end testing approach that includes API testing and gives testers complete control of their environment with service and data virtualization. There's one more critical component: visibility into key metrics along the way.  

If you can't measure it, you can't manage it. Key metrics, like escaped defects, can provide insights into potential risk areas. Teams can make smart choices about what tests to run to achieve the desired code and test coverage. By analyzing test results, you can optimize your Agile workflow to focus on your top priorities for a high-quality delivery. 

In this session, guest speaker Diego Lo Giudice of Forrester Research will share market trends and insights, while Roya Montazeri of Cox Automotive describes her approach to implement virtualization to achieve defect reduction for improved customer satisfaction. 

Key Takeaways 
• Understand the importance of smart end-to-end testing. 
• Define metrics that matter and align with quality goals.  
• Use data to discover what testing is needed based on changes. 
• Manage testing processes and environment to achieve your goals.

Deliver Superior Experiences With End-to-End Testing & Metrics That Matter

A collaborative culture within organizations has been proven to streamline the product development process. It places value on effective communication, integration, and cross-functional teamwork to enable continuous and rapid delivery of reliable products that are also safe and secure.     

 Adopting an approach like Agile, which gets applied through methodologies like DevOps, brings teams together for shared ownership, workflow automation, and rapid feedback. All this is then realized through a CI/CD pipeline.     

 Join this webinar to see how your embedded software development team can adopt a modern, highly automated workflow to achieve continuous integration, testing, delivery/deployment, and monitoring of software applications using static analysis (SA) throughout the development life cycle. You'll also get the opportunity to see a demo of Parasoft in action in an Azure DevOps CI pipeline.  

 Key Takeaways   
• The high value of adopting a modern development workflow.   
• Continuous testing: Accessing static analysis results in Azure pipelines.   
• Remediating SA results from Azure DevOps in Visual Studio Code.

How to Integrate Static Analysis Into Your CI/CD Azure Pipeline for Embedded

Managing code branches for new features is handled most effectively when properly integrated into your CI/CD pipeline and processes. High performing teams automate static analysis and unit testing as part of their workflow to get timely feedback on the modified code.  

The goal is to validate all code changes before integrating them into the main branch, so you can find and fix any issues before they impact the build or the production environment. This helps to eliminate bottlenecks or delays during the development process – or worse, bugs and negative behavior affecting the end user. 

In this session, we'll discuss how to: 
• Integrate static analysis and unit testing into your CI/CD workflow. 
• Review and demonstrate compliance to coding standards. 
• Focus only on new issues found in changed code. 
• Get faster feedback on modified code.

Accelerate CI/CD Feedback for Feature Branch Development

Whether you’re just getting started with Selenium or an expert looking to optimize your Selenium testing practice, you're likely to face some common problems. To name a few: test instabilities caused by ever-changing elements, long execution times, and brittle scripts that are difficult to maintain. These can lead to a lot of test rework, reduced DevOps pipeline velocity, and ultimately delayed releases. 

To easily mitigate these challenges, integrate AI and machine learning into the CI/CD pipeline to ramp up and scale Selenium tests to be more manageable. In this session, discover how to: 

* Use manual UI recording to quickly create Java-based page object model scripts. 
* Leverage on-the-fly self-healing during test execution to avoid runtime failures. 
* Reduce test execution time by only running the tests that are impacted by changes. 
* Achieve requirements traceability with your automated test results. 
* Increase test coverage with automated generation of end-to-end API test scenarios.

Fuse AI Into the CI/CD Pipeline to Optimize Selenium Testing

Are you ready to speed up your application testing? Test automation gets you partway there, but artificial intelligence (AI) takes it to the next level. With the right testing tools, you can simplify the process and focus on identifying and remediating the quality issues in your software. 

Smart test execution with test impact analysis leverages AI and machine learning (ML) to selectively target only changed code and run just those tests. You save time and effort — and get quicker feedback. Whether you’re doing unit, API, or UI testing, the Parasoft Continuous Quality Platform accelerates the execution of automated tests.

Join this session to see how your team can get testing done faster. 
• Associate tests to requirements and code to see the impact of changes. 
• Identify which subset of tests you need to run for validating modified code. 
• Get faster feedback within CI/CD to find and fix potential issues.

Find & Fix Defects Faster With AI-Enhanced Test Automation

How are you validating your application functionality? Modern rapid software development relies heavily on the availability of development and test environments. Your DevOps team might use approaches like service stubbing and mocking to stabilize and provision environments that have external dependencies.  

The challenge as distributed systems become more complex is that stubs and mocks can't keep up with the logic and functional requirements of their real counterparts. By enhancing simulated components with stateful behavior, persistent data, and intelligent correlations, service virtualization unlocks significant ROI. And your DevOps team can achieve higher levels of software quality earlier in the release cycle. 

In this session you'll learn to:  
- Tell apart different types of stateful service behavior. 
- Use AI to create complex virtual services rapidly. 
- Enable teams to deploy simulated systems and sandboxes on demand.

How to Unlock Significant ROI by Simplifying Application Development

Structural coverage is the identification of code that has been executed and logged. There are several reasons why it's important to perform this activity for embedded safety- and security-critical systems. One is to determine if the software has been adequately tested. Another is to satisfy compliance and certification requirements. You might also want to ensure there's no dead code in your software.   

In this webinar, we'll dive into answers to valuable questions.  
• How do you decide the code structural thoroughness of the coverage?  
• How much coverage should you achieve?  
• What's the best way to satisfy this task?  
• What to do when you need to combine coverage from third-party libraries or perform code coverage on target hardware?  
• What action should you take when instrumentation causes excessive code bloat?  
• What should you do if you have to perform code coverage at the assembly language level?  

Join this webinar to learn best practices, ask the experts, and see a live demo. We'll show you structural code coverage for statement, branch, and MC/DC along with automated reporting and metrics for code coverage and code complexity.

Everything You Need to Know About Structural Code Coverage for C & C++

Panelists: Roya Montazeri - Senior Director of Quality Assurance - Cox Automotive , Hirakant Shet, Director Software Engineering - PSCU,  Arthur Hicken, Chief Evangelist, Nathan Jakubiak, Senior. Director of Development, & Daniel Garay, Senior QA Director - Parasoft

How has your organization invested in test automation to optimize software testing? Many companies still struggle to make that important step for delivering high-quality applications to their users. What’s holding them back, and what’s the impact of not choosing to integrate testing into their DevOps workflow? 

Test automation has evolved with AI and ML to meet the increasing needs for development and QA teams, so that they can take advantage of automating the right testing practices for their application. Automation won’t replace your testers, but it will help them work more efficiently, which directly impacts your bottom-line ROI. 

Join this lively panel discussion to ask questions and learn about: 
• Why test automation matters now more than ever for improving software quality. 
• What you should consider when evaluating investment options. 
• How to understand and calculate test automation value for your organization.

Why You Should Invest in Software Test Automation

Test Automation

Testing

Continuous Testing

Machine Learning

DevOps

application testing

Software Quality

Automation

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Why You Should Invest in Software Test Automation

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