Agile + DevOps East 2023 - Tester
Tuesday, November 7
Supercharge Your Workflow: To GitHub and Beyond
Whether you are new or experienced with GitHub this class is for you! Supercharging your workflow caters to anyone who wants to enhance their Agile and DevOps process with the capabilities of GitHub. GitHub has long been the premier site for open-source projects and is now turning a pivotal corner into becoming the predominant platform for all aspects of the development lifecycle. Some examples of this include; protecting company code through various GitHub Products or curating marketplace actions and workflows prior to use. This tutorial will look at how to leverage GitHub Actions (CI/CD...
Getting Started with AI and Machine Learning
Are you a software professional who would like to learn to use AI and machine learning (ML), but don't know how to get started? One of the best ways to get into ML is by designing and completing small projects. Although you will ultimately need to understand the fundamentals of AI/ML, there's no reason why you can't learn foundational terms, concepts and principles as you put them into practice. Join Dionny Santiago as he introduces you to the world of applied machine learning. Dionny will guide you through a series of ML projects end-to-end, enabling you to gain experience with creating...
Wednesday, November 8
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...
Addressing Security Risks In LLM-Based Applications
Large Language Models continue to grow in popularity as people experiment, applying them to problems and pushing new code into production applications. Growing along with this popularity is an engineering approach that advocates outsourcing more and more of an application’s functionality to these LLMs. But what seems like an advantage on the surface masks different costs and risks. Ultimately, you may end up with less reliable code that’s harder to troubleshoot and fix, accruing technical debt along the way. There’s also the potential increase in attack surface from integrating LLMs into...
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
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...
Breaking Down Silos: Overcoming Upper Management Behaviors That Hinder Agile and DevOps Team Collaboration
Agile and DevOps methodologies are designed to foster collaboration, but siloed behavior in upper management can undermine their effectiveness. In this talk, we'll explore how to overcome siloed behavior in upper management and create a culture of collaboration that supports agile and DevOps success. We'll discuss the common siloed behaviors exhibited by upper management, including lack of communication, limited transparency, and resistance to change. We'll also provide strategies for breaking down these silos and fostering collaboration, including building trust, promoting cross-...