Agile + DevOps East 2023 - Test Management
Customize your Agile + DevOps East 2023 experience with sessions covering test management.
Monday, November 6
Introduction to DevOps with Chocolate and LEGOs
Organizations today can no longer afford to deliver new features to their respective markets once a year or even once a quarter. In the attempt to catch up with the competition, they jump onto DevOps journey starting with the "How" and losing the sight of "Why" and "What". Join this gamified simulation tutorial to gain a solid understanding of foundational principles of the DevOps culture. Experience the benefits of DevOps transformation even before initiating one in your enterprise! This tutorial is ideally designed for organizations that are evaluating their approach to DevOps...
Tuesday, November 7
Agile Project Failures: Root Causes and Corrective Actions
Agile initiatives always begin with high expectations—accelerate delivery, meet customer needs, and improve software quality. The truth is that many agile projects do not deliver on some or all of these expectations. If you want help to ensure the success of your agile project or to get an agile project back on track, this tutorial is for you. Jeffery Payne discusses the most common causes of agile project failure and how you can avoid these issues or mitigate their damaging effects. Poor project management, ineffective requirements development, failed communications, software development...
What DevOps Means for Testers and Testing
DevOps is more than a buzzword or a passing fad. It's a radically new approach to rapidly deliver high-quality software applications. However, many organizations don’t fully grasp the magnitude of this change or what it means for everyone involved in the software development lifecycle. Jeffery Payne says that DevOps—when done right—drives higher quality and efficiency into software development, software testing, and application management activities. It empowers teams to remove impediments to quality and productivity throughout the entire software lifecycle. However, when DevOps is done...
Approaching Conflict Productively
When it comes to high-performing teams, conflict is inevitable and necessary. The very essence of gaining the best value outcomes is a result of leveraging the wisdom of various perspectives and experiences. Those variances will generate conflict. Yet, this is only a negative if we are unequipped with the knowledge and tools to embrace and approach conflict. In this tutorial, expect to unpack the differences and the relationship between conflict and drama. Discover tools for helping all voices be heard. Plus, have fun practicing skills in preparing how to react to conflicts productively...
Wednesday, November 8
What Effective Test Automation is...And Why it's NOT Testing!
In the frantic race to automate everything, one critical fact often gets overlooked…that test automation is NOT testing. Many organizations equate a comprehensive automated test suite with an effective software testing function. However, their definition of test automation is often limited to the automated execution of scripted test steps. Even in the best case scenario, this approach can give a false sense of security, especially when executing automated checks is the only “testing” that’s performed in the delivery pipeline. In this session, Lee will discuss why he sees the craft of...
Exploring Non-ChatGPT Ways to Use AI in Testing
Artificial intelligence and machine learning tools like ChatGPT are bringing AI to the public. The goal and purpose of code generation and refactoring tools like GitHub’s Co-Pilot are evident. However, it may not be as obvious to tell which tools are specifically tailored for testing and quality engineering. Join Carlos Kidman as he compares multiple AI/ML tools and practical applications that testers and quality engineers can use right now. You’ll discover AI for functional testing solutions and tools for test data management. While not all of these tools are free, this session will give...
Performance Testing and Engineering in Pipeline
As more and more organizations embark on modernizing their enterprise, and join the agile and DevOps bandwagon, it becomes but natural for the IT and Business teams to relook at their age-old legacy IT processes and align them with the modern delivery techniques. One of the first things that generally gets discussed in such a case from a testing standpoint is to implement a culture of shift left and testing in parallel with development. Harshad and Depen will take us through the essence of what that means from a performance testing and engineering standpoint and deep dive on the approach...
AI in DevOps for Improving Engineering Team Productivity
AI and machine learning continue to be hot topics everywhere. The majority of discussions on AI/ML are focused on how generative AI and large language models (LLMs) will change the world. However, LLMs like ChatGPT, Bard, and Llama only represent one area of modern advances in the AI/ML space. Considering the bigger picture of new AI technologies, Chris Navrides has been investigating ways to enable entire new areas of opportunity within the DevOps lifecycle. By leveraging AI in DevOps, he believes teams can improve developer productivity through better code authoring, debugging, and...
Copilot Wants to Write Code and Be Your Friend!
Have you ever wanted to be able to pair program by yourself? Did your coworker write incoherent code at 3 in the morning? Do you hate writing unit tests by hand? If you answered yes to any of these, then Copilot is the perfect tool for you! Copilot will suggest code snippets as you work based on the assumptions it makes on what you are trying to accomplish. It can explain those pesky chunks of code that you don’t understand, saving you valuable time. You can even have Copilot write out unit test code for you based on the methods that you are trying to test. Merging two tabs into one, dive...
From Bottlenecks to Breakthroughs: Using AI in Performance
Performance, a cornerstone of delivering high-quality software, is poised to undergo a seismic shift, and artificial intelligence (AI) is at the helm. Yet, as with many technological evolutions, there's a haze of misconception surrounding AI's role in this domain. Is AI merely an advanced tool, or can it redefine the entire engineering paradigm? Join Kaushal Dalvi as he demystifies AI's transformative role in performance. Drawing from real-world experiences and case studies, covering AI's potential in auto-generation of performance tests and predicting bottlenecks. Engage in interactive...
Thursday, November 9
Chasing Predictability with AI: The Model of You Outperforms You
Usually, the first question a client asks about software development is: "When will it be done?". Traditional methods to answering this question are fraught with errors. The most common errors include heavy reliance on estimates and the use of averages to give a deterministic answer. What goes through your mind when you try to answer this question? Now imagine that we could take the same process that your mind goes through and model it? Get rid of the biases that we as humans have by using the data our systems already track. Advances in AI, combined with the rapid growth of data across...
Smooth Sailing: Navigating Release Management in the DevOps Landscape
Embark on an illuminating voyage with me ( Priyanka Halder) as we delve into Release Management's uncharted territory within the DevOps era. As a Quality Engineering Leader, I invite you to explore the synergy of agility and stability for triumphant software deliveries. We'll uncover strategies that steer us through challenges, nurture collaboration, and embrace evolution in this dynamic sphere. Unravel core DevOps principles, cultivate collaborative cultures, and refine robust release processes. Discover the pivotal role Release Management plays in bridging the agility-stability divide,...
Generative AI in Quality Assurance
The need for a new test automation model has been an imperative over the last 10 years as we have moved from waterfall to agile and agile to DevOps. Moving from test coverage to application coverage and reducing test time from months to an hour or less has created a substantial pressure for full success. Now AI in test is a reality. The first generative AI offerings in QA became available in 2018 and since then marked improvements have been made in outcomes. This has changed QA teams' focus, tasks, and work effort. With the ultimate goal of AI finding all our bugs, the advent of...
AutoOps: Harnessing the Power of AI-Augmented Testing with Generative AI
In the rapidly evolving landscape of software development, Continuous Integration and Continuous Deployment (CI/CD) have emerged as pivotal methodologies for delivering high-quality software at an accelerated pace. To ensure the reliability and robustness of software releases in such an environment, the marriage of cutting-edge technologies becomes imperative. Incorporating Generative AI into business process automation seemed daunting just a few years ago. However, the availability and popularization of OpenAI/ChatGPT and other AI/ML technologies have made it a closer reality, and now it...
Transforming Testing with Generative AI: A Demonstration
Are you looking to improve the efficiency and effectiveness of the agile testing process? Join and explore the future of agile testing with Generative AI. In agile software development, feature grooming, refinement, user story generation, acceptance testing, and test automation are all critical steps to ensure system quality. While these steps are critical to the project's success, they are not always handled effectively. They can be time-consuming and things like writing test cases and automation code can be labor-intensive and often fall short of covering all requirements. To address...