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Thusy Dp Instant

: The subproblems may have some overlap, meaning that some subproblems may be identical or have similar solutions. DP solves each subproblem only once and stores their solutions to subproblems to avoid redundant computation.

Thusy DP builds upon the traditional DP paradigm, incorporating innovative approaches to improve performance, reduce computational overhead, and increase scalability. This technique aims to tackle the inherent limitations of traditional DP, such as inefficient memory usage, slow execution, and limited parallelism. thusy dp

: DP can be used to find the shortest paths in graph theory. It involves defining a state (often the current node) and transitioning to other states (nodes) with the goal of finding the minimum path. : The subproblems may have some overlap, meaning

Stick to neutral tones (black, white, beige, soft brown) or a single pop of color (red lip, blue shirt). Busy backgrounds kill the thusy effect. This technique aims to tackle the inherent limitations

The adoption of Thusy DP can bring numerous benefits to software development, including:

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© Copyright 2016 – 2025 | Testingmind Consulting | All Rights Reserved

© Copyright 2016 – 2021 | Testingmind Consulting | All Rights Reserved

Nate Custer

Principal Technologist

Beyond Testing, Quality Engineering in the age of AI

In today’s fast-paced digital landscape, traditional testing is no longer enough. This session explores how Quality Engineering, enhanced by AI-driven platforms, helps organizations reduce risk, accelerate delivery, and build trust with customers.

Takeaways from this talk

The role of AI-enhanced QE platforms in accelerating innovation and improving reliability.

How Quality Engineering strengthens customer trust and enables sustainable digital transformation

Why organizations must shift from traditional testing to Quality Engineering to stay competitive.

Mark Towle

Sr. Field Solution Architect

QA in the time of AI

Learn how leading enterprises are leveraging AI in the their different stages of testing including functional test automation. This is allowing customers to shift their QE,QA, & QI into overdrive by cutting the time, risk, and cost associated with deploying releases and projects.

Takeaways from this talk

Understand How AI Is Transforming the QA Lifecycle, Explore Real-World Applications of AI in Functional Test Automation, Learn Strategies to Reduce Risk, Cost, and Time in Software Delivery

Sandesh Gawande

CEO

Data Testing Automation: Beyond UI and Application Testing

In the era of increasingly data-centric systems, traditional UI and application testing alone are no longer sufficient. Whereas application testing focuses on user interface behaviour, APIs, and code integrity typically handling just a handful of records, data testing addresses a different scale and complexity entirely. It delves deep into data-pipeline integrity, ETL processes, and validation across millions to billions of records, demanding a specialized approach. This session will highlight why conflating application testing with data testing is a common and costly mistake.

Takeaways from this talk

Traditional UI and application testing is not sufficient for data-centric projects such as ETL, migrations, and data warehouses.

Data testing ensures integrity and performance across millions of records, preventing compliance and production risks.

Common pitfalls include manual testing, sampling, and misusing application testing tools for data pipelines.

Automating data validation and reconciliation with platforms like iceDQ enables trusted insights and reliable AI/ML outcomes

Chris Dragon

Principal, Managed Application Services

Scaling Test Automation Without Code: How QA Teams Can Move Faster and Fail-Safe

Enterprise QA teams are under constant pressure to release faster, reduce risk, and maintain compliance across increasingly complex systems like Dynamics 365, SAP, Salesforce, and web applications. But traditional test automation often becomes a bottleneck—slowed down by heavy maintenance and limited access to technical resources. In this session, you’ll discover how real-world QA teams are accelerating their test automation initiatives using Leapwork’s no-code platform. You’ll see how eliminating code from the equation empowers broader teams to build, scale, and maintain automation faster—without sacrificing coverage or control.

Takeaways from this talk

First-hand insight into how enterprise teams deploy no-code testing

Understand the practical ROI of automation in complex systems

See a live solution in action, not just slides

Leave with actionable steps to modernize your QA strategy

Nick Morea

VP, Global Sales Engineering

Scaling Test Automation Without Code: How QA Teams Can Move Faster and Fail-Safe

Enterprise QA teams are under constant pressure to release faster, reduce risk, and maintain compliance across increasingly complex systems like Dynamics 365, SAP, Salesforce, and web applications. But traditional test automation often becomes a bottleneck—slowed down by heavy maintenance and limited access to technical resources. In this session, you’ll discover how real-world QA teams are accelerating their test automation initiatives using Leapwork’s no-code platform. You’ll see how eliminating code from the equation empowers broader teams to build, scale, and maintain automation faster—without sacrificing coverage or control.

Takeaways from this talk

First-hand insight into how enterprise teams deploy no-code testing

Understand the practical ROI of automation in complex systems

See a live solution in action, not just slides

Leave with actionable steps to modernize your QA strategy

Tony Venditti

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Takeaways from this talk

Attendees will have an excellent understanding of the tools and procedures to build a test automation framework and rapidly grow test automation suites.

Louay AL-Jondi

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Use case study: How to use Visual studio GitHub Copilot to help expedite writing automation tools

Takeaways from this talk

When using Visual Studio, it is important to enhance your prompt engineering and commands to provide clear instructions to Copilot, enabling it to assist you in writing or fixing code effectively.

Get familiar with Github copilot Key Features, analyze the generated code, and put the final code to work.

Karamveer Singh

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Takeaways from this talk

How teams can eliminate manual (or partially automated) testing for their end-to-end systems using standard industry solutions. This will allow them to easily scale their testing needs.

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