Panel Moderator:
Diwakar Menon, Consultant

Panellists:
Jatinder Verma, Director – Transformation Coach, Fidelity Investments
Pradeep Sadananda, Director – Strategy and Technology, Honeywell
Krishnakumar Mahalingam, Executive Director, JP Morgan Chase & Co

Dr. Srijith Sreenivasan, Global Director – Continuous Improvement, Schneider Electric

As organizations embrace the DevOps revolution, testers are undergoing a profound transformation from being traditional Quality Assurance enforcers to becoming champions of Quality Engineering. DevOps, and more recently DevSecOps is reshaping the testing landscape, ultimately leading to enhanced software quality, faster delivery cycles, and a more integrated approach to product development. The identity of testers is changing in the context of DevOps, exploring the convergence of development, operations, and quality assurance. The paradigm shift is from traditional testing practices to holistic quality engineering, where testers collaborate across teams, proactively engage in continuous feedback loops, actively shape testing strategies and embed quality measures throughout the development lifecycle. Through case studies and practical insights, participants will gain understanding of how testers are embracing this identity shift, contributing to improved software quality, shorter release cycles, and the overall success of DevOps initiatives.

Shirsha Ray Chaudhuri, Director of Engineering, Thomson Reuters

Shrini Kulkarni, QA Director, OLA

Deepak Selvaraj, Director, DevOps and Quality Engineering, Transform UK

ChatGPT’s everywhere, isn’t it? You’d be hard pressed to find someone in your industry, or even friendship group, who hasn’t tried it out at least once*. We are mostly curious creatures after all.

While AI isn’t new, the debate continues around where and how to adopt it and that’s why we’re throwing one more viewpoint into the mix. Quality Engineering/Testing, a pillar of the software development lifecycle, is undergoing a shift like never before. As of 2023, tech companies are investing more than 25% of their total budget into QA and testing. This statistic is an evident indicator of the activity’s utmost importance. But what if there was a way to transform this essential component, making it more accurate, efficient, effective, and even cost-saving?

In this session let’s look at how Generative AI can entirely transform the QA process. We will dive deep into how we build an AI solution (POC) for UK’s Department for Education its potential to automate repetitive tasks, reduce manual effort, and enhance the accuracy and speed of the testing process. We will examine how these changes has the potential to help DfE to build more reliable software, faster delivery times, and a more simplified and efficient QA process.

This should make us think: if Generative AI can bring such a massive improvement in QA process, how much more can the wider software development benefit from this? What does ‘next gen QA’ really look like !

Sharmistha Chatterjee, International Speaker, 2X Google Developer Expert, Head of Systems and Software Engineering

The aim of this talk is to bring to light how automated testing and debugging processes with LLMs can help software enterprises, reduce critical failures, security breaches and financial loss. In this aspect, the talk will highlight how LLMs play a vital role in detecting code blocks that are responsible for bugs, and reduced code quality, thereby assisting developers with explainability on code performance. By the end of the talk, the audience will be equipped with knowledge on how LLMs can be best leveraged with explanations for the failure of test cases, or generated patches, to increase developer productivity by enabling them to make efficient and accurate coding decisions.

Nitin Ramchaware, Head Global Process Engineering & Quality India, CRIF

In today’s digital landscape, cloud migration has become a strategic imperative for organizations worldwide. The transition from traditional on-premises data centers to cloud environments offers unparalleled benefits in terms of scalability, cost-efficiency, and agility. This abstract explores the vital role of cloud migration testing in a recent migration project, where data and workloads were shifted from an on-premises data center to a cloud infrastructure.

This session highlights the critical role of testing in ensuring the success of a migration project to Cloud Infrastructure. The rigorous testing methodologies, coupled with innovative solutions to address challenges, resulted in a smooth and efficient transition. In this session, delegates should gain insights into the challenges faced during migration testing, such as data migration complexities, application adaptation, and security considerations. Additionally, they should understand the substantial benefits of migration testing, including risk mitigation, cost savings, improved performance, and enhanced data security.

Venkata Goday, Quality Engineering Lead, IQVIA

The advent of AI into automation has produced a flurry of AI automation tools such as Test.io, Mable, Functionize etc. into the market along with existing tools like Katalon and Parasoft adding AI capabilities. Most of these tools have recording engines with captured scripts and self-healing capabilities.

Vidya Hungud, Technology Leader, Target

Dr Renu Rajani, Sr IT industry Leader, Testing Books Author

Software Testing marketplace has evolved from with growth of IT industry. V-Model and ensuring adequate testing has helped deliver quality products and applications and has also helped industry ride on the wave to deliver as well as grow multi-fold capability.

The evolution has seen centralized/shared testing capability, test automation, focused testers. The industry has also survived with the confusion of Agile/DevOps and testing as part of it. Many proponents of Agile/DevOps shunned independent testing and many companies disbanded centralized test COEs to create decentralized/distributed capability. This further gave birth to Hybrid model. Test practitioner moved on from manual/process/domain skills to Automation and Agile process skills.

Test Automation matured from record and play to scripts to scriptless lowcode nocode. Devops has required Continuous Integration/Continuous Testing (CI/CD).

This talk is about what has worked well and what has not and what is in store for future.

Akshay Kumar, Product Manager, Microsoft

Sreekala Sunderrajan, Senior Corporate Leader