A TechTalk presentation of Node.js Ninja Ihor Yamshchykov about TDD in Node.js apps.
Check out more info about this TechTalk here: http://blog.techmagic.co/techtalk-test-driven-development-in-node-js-apps/
This document discusses different types of software tests including unit tests, component tests, system tests, and functional tests. It emphasizes that to achieve continuous testing, organizations must automate these various test types and run faster and more focused tests first to catch errors early in development. Specifically, it recommends automating unit tests, component tests, system tests, and functional tests; categorizing tests to run faster ones initially; writing tests around known defects; making component tests repeatable; and limiting each test case to a single asset.
Iasi code camp 20 april 2013 marian chicu - database unit tests in the sql se...Codecamp Romania
This document discusses database unit testing. It defines unit testing as testing individual units of source code to determine if they are fit for use. Developers, DBAs, and QA engineers care about unit testing because it finds problems early, facilitates change, and simplifies integration. The document discusses test-driven development concepts and architectures. It notes that while the initial cost of writing unit tests is high, there are real benefits like thinking-driven development and documentation. The presentation demonstrates unit testing with Visual Studio and concludes with references on database unit testing tools and practices.
This document discusses unit testing fundamentals. It defines a unit test as code that verifies the smallest testable part of an application. The key benefits of unit testing include enabling fast change and failure, creating executable specifications, and automating testing. Unit testing should start small and evolve over time using techniques like test-driven development (TDD). TDD involves writing tests before code in small iterative cycles from red to green to refactored. Test doubles like stubs, spies and mocks are used to isolate and control dependencies. While unit testing has limitations like time costs, it can help improve coding quality and catch errors. The document encourages starting unit testing on all new projects.
This document discusses automated testing, including unit testing. It provides an overview of the types of automated testing and why they are useful. Specifically, it notes that automated testing is needed to test complex applications, support frequent releases, and ensure the application is working after code changes. It also discusses unit testing in depth, including what constitutes a good unit test, test-driven development, and common unit testing frameworks and tools.
Continuous integration (CI) implements continuous processes of applying quality control through small, frequent pieces of effort. CI aims to improve software quality and reduce delivery time by replacing traditional quality control after development. CI involves: writing automated developer tests; running private builds where all tests and inspections must pass; committing code frequently; and avoiding getting broken code. It provides feedback through mechanisms like email, IM, and SMS to keep the right people informed at the right time. CI helps reduce code complexity, maintain standards, and assess test coverage through continuous inspection along with compilation, testing and deployment.
This document discusses context-driven test automation and describes four common contexts for automation: individual developer, development team, project, and product line. It analyzes two case studies - the ITE and xBVT test automation frameworks - and how they address common test automation tasks like distribution, setup/teardown, execution, verification and reporting differently depending on their context. The key lesson is that the approach that works best depends on who writes and uses the tests rather than a one-size-fits-all framework. Defining the context upfront helps determine how automation tasks are implemented.
This document provides an overview of the Common Language Runtime (CLR) and how it works in the .NET framework. The CLR is the runtime environment that supports multiple programming languages by loading assemblies, managing memory, providing security and exception handling. It loads assemblies into memory and uses a just-in-time (JIT) compiler to convert the intermediate language (IL) code within assemblies into native machine code. Assemblies are the fundamental deployment and reuse units in .NET applications, taking the form of EXE or DLL files containing IL, metadata and resources.
Test-Driven Development (TDD) is a software development process that relies on writing automated tests before developing code to pass those tests ("red-green-refactor"). TDD promotes writing isolated, repeatable unit tests and decoupling code from external dependencies through techniques like dependency injection and mocking. While TDD has benefits like ensuring quality and preventing regressions, it has also received criticism for potentially leading to over-testing and an over-reliance on mocking. The presentation concludes with an open discussion of experiences and opinions on TDD.
This document discusses different types of software tests including unit tests, component tests, system tests, and functional tests. It emphasizes that to achieve continuous testing, organizations must automate these various test types and run faster and more focused tests first to catch errors early in development. Specifically, it recommends automating unit tests, component tests, system tests, and functional tests; categorizing tests to run faster ones initially; writing tests around known defects; making component tests repeatable; and limiting each test case to a single asset.
Iasi code camp 20 april 2013 marian chicu - database unit tests in the sql se...Codecamp Romania
This document discusses database unit testing. It defines unit testing as testing individual units of source code to determine if they are fit for use. Developers, DBAs, and QA engineers care about unit testing because it finds problems early, facilitates change, and simplifies integration. The document discusses test-driven development concepts and architectures. It notes that while the initial cost of writing unit tests is high, there are real benefits like thinking-driven development and documentation. The presentation demonstrates unit testing with Visual Studio and concludes with references on database unit testing tools and practices.
This document discusses unit testing fundamentals. It defines a unit test as code that verifies the smallest testable part of an application. The key benefits of unit testing include enabling fast change and failure, creating executable specifications, and automating testing. Unit testing should start small and evolve over time using techniques like test-driven development (TDD). TDD involves writing tests before code in small iterative cycles from red to green to refactored. Test doubles like stubs, spies and mocks are used to isolate and control dependencies. While unit testing has limitations like time costs, it can help improve coding quality and catch errors. The document encourages starting unit testing on all new projects.
This document discusses automated testing, including unit testing. It provides an overview of the types of automated testing and why they are useful. Specifically, it notes that automated testing is needed to test complex applications, support frequent releases, and ensure the application is working after code changes. It also discusses unit testing in depth, including what constitutes a good unit test, test-driven development, and common unit testing frameworks and tools.
Continuous integration (CI) implements continuous processes of applying quality control through small, frequent pieces of effort. CI aims to improve software quality and reduce delivery time by replacing traditional quality control after development. CI involves: writing automated developer tests; running private builds where all tests and inspections must pass; committing code frequently; and avoiding getting broken code. It provides feedback through mechanisms like email, IM, and SMS to keep the right people informed at the right time. CI helps reduce code complexity, maintain standards, and assess test coverage through continuous inspection along with compilation, testing and deployment.
This document discusses context-driven test automation and describes four common contexts for automation: individual developer, development team, project, and product line. It analyzes two case studies - the ITE and xBVT test automation frameworks - and how they address common test automation tasks like distribution, setup/teardown, execution, verification and reporting differently depending on their context. The key lesson is that the approach that works best depends on who writes and uses the tests rather than a one-size-fits-all framework. Defining the context upfront helps determine how automation tasks are implemented.
This document provides an overview of the Common Language Runtime (CLR) and how it works in the .NET framework. The CLR is the runtime environment that supports multiple programming languages by loading assemblies, managing memory, providing security and exception handling. It loads assemblies into memory and uses a just-in-time (JIT) compiler to convert the intermediate language (IL) code within assemblies into native machine code. Assemblies are the fundamental deployment and reuse units in .NET applications, taking the form of EXE or DLL files containing IL, metadata and resources.
Test-Driven Development (TDD) is a software development process that relies on writing automated tests before developing code to pass those tests ("red-green-refactor"). TDD promotes writing isolated, repeatable unit tests and decoupling code from external dependencies through techniques like dependency injection and mocking. While TDD has benefits like ensuring quality and preventing regressions, it has also received criticism for potentially leading to over-testing and an over-reliance on mocking. The presentation concludes with an open discussion of experiences and opinions on TDD.
Performance testing is a type of non-functional testing used to identify a system's response time, throughput, reliability, and scalability under given load conditions. It helps understand how a system will behave under extreme loads, identifies constraints, and which parts may misbehave in real-time. There are different types including baseline, benchmark, load, stress, endurance, and volume testing. JMeter is an open source tool commonly used for performance testing as it can simulate heavy loads and provide instant visual feedback. Key challenges include accurately simulating high user loads, implementing real-life usage scenarios, accounting for network latency, testing certain systems like chat servers, and reducing the time needed for metrics collection and report analysis.
NUnit is a unit testing framework for .NET languages that allows developers to write and run automated tests to determine if sections of code are functioning as intended. It works by defining TestFixtures containing individual Test methods annotated with attributes to identify setup, teardown, and expected exceptions. The presentation introduces unit testing and NUnit, explaining that unit testing verifies code modules are fit for use and NUnit is a widely used open source unit testing framework written in C# that brings the benefits of xUnit testing to .NET projects.
Unit testing is a software development method that involves writing small pieces of code called units to test individual functions or components. This helps ensure code works as intended and finds bugs early. Key benefits of unit testing include keeping code simple, making code more maintainable and robust, and providing regression tests. However, developers sometimes avoid unit testing due to perceptions that it is tedious or not valuable. Tools like NUnit and Visual Studio support automating unit tests. Test-driven development is a technique where tests are written before code to specify desired behavior.
This document provides an introduction to unit testing using Nunit. It discusses what unit testing is, the benefits of unit testing, and what is needed to perform unit testing. It then focuses on Nunit, explaining that Nunit is a unit testing framework for .NET languages. It provides hands-on examples of creating a test project using Nunit to test methods in a BMI calculator application. It demonstrates running tests using both the Nunit graphical user interface and console modes.
Significance Of Component Base Architecturechathurag
This document discusses component-based architecture and its advantages, such as separation of concerns and easier testability. It also discusses Plexus, an inversion of control container, and how it facilitates component-oriented programming. Finally, it briefly explains the application architecture in XWiki and suggests practices like maintaining blogs and chat applications to share learning experiences.
The document discusses key concepts in system architecture including:
1. Architecture is defined as the highest-level structure of a system including components, interfaces, and behaviors.
2. Components and connectors make up systems, which can be hierarchical. Properties and styles further define architectures.
3. A system architect understands relationships between components and conceptualizes a system's basic structure early on.
This document discusses build automation, continuous integration, and how NXTware Remote for Jenkins brings these practices to OpenVMS. It provides an overview of the benefits of build automation and continuous integration, including improved quality, accelerated builds, reduced errors, and documentation. NXTware Remote acts as a Jenkins proxy on OpenVMS, allowing developers to integrate code more frequently and detect issues earlier. The architecture involves Jenkins interfacing with NXTware Remote to run builds and tests on OpenVMS and return results.
The document outlines an upcoming programming workshop that will cover various JetBrains IDEs like PyCharm, IntelliJ IDEA, and PhpStorm. It then discusses Test Driven Development (TDD), including what TDD is, the development cycle used in TDD, and benefits like encouraging simple designs and confidence. Different types of software tests are also listed like unit tests, integration tests, acceptance tests, and others. Specific testing techniques like unit testing, integration testing using bottom-up and top-down approaches, and acceptance testing are then explained at a high level. Finally, some important notes on testing like trusting tests and prioritizing maintainability are provided.
This document discusses performance testing and tools for performance testing like JMeter. It provides details on how JMeter can be used to perform load testing and performance testing on different protocols. It outlines the steps to build test plans to test the performance of web applications and databases using JMeter including adding users, requests, listeners and more.
This slide goes from an introduction to general software testing down to testing of javascript application, explaining why test, when to test and what to test in an application. Mocha framework was used to explain how testing works in JS.
Talk Presented at #forLoopKaduna Meetup on July 1st, 2017
Unit testing involves writing code to test individual units or components of an application to ensure they operate as expected. Unit tests act as specifications for code and help produce better, more readable and maintainable code. An effective unit test has one test class per code class, runs tests in isolation, has clear and descriptive names from a user perspective, and asserts a single outcome per test. Tools like mocking frameworks can help with unit testing by injecting dependencies and states. Unit tests should focus on testing logic and not user interfaces.
The document discusses different types of software tests including unit tests, integration tests, acceptance tests, load tests, and performance tests. It emphasizes the importance of unit tests for validating individual code modules and classes work as intended. Writing unit tests before coding allows developers to test complex scenarios quickly, ensure code quality and readability, and refactor code with confidence.
How to Build Your Own Test Automation Framework?Dmitry Buzdin
Even though there are plenty of open source tools on the market every company needs to put them together and create a test automation framework on top. Best practices of doing that are quite well-known in industry and it is important to learn them before building your own framework. We will go through the core building blocks of test automation frameworks and how they are playing together. You will learn how to assemble your test automation toolchain out of open source libraries and how to integrate them together. The session will be heavily biased towards Java platform.
This document discusses installation testing, including its definition, methodology, sample test cases, and tips. Installation testing ensures all installed features function properly and all necessary components are installed. The methodology section outlines points to check like dependencies, installation path, uninstallation, and compatibility. Sample test cases verify the correct installation folder and correct display of installation instructions. Tips include using flow diagrams, forcing installation breaks, and verifying expected registry changes.
This document discusses continuous integration (CI), dealing with dependencies, and using Nuget for package management. It defines CI as merging code into a shared repository multiple times per day to detect errors quickly. Key CI practices include automating builds, tests, and deployments. Dependency management is important to avoid issues like conflicting dependencies. Nuget is a package manager that stores reusable code packages for Microsoft projects and manages dependencies through a manifest file.
While Google is adding Kotlin as an official Android language, we're also expanding our research on this language. It’s developed by JetBrains, and the fact that these are the people behind a suite of IDEs, such as IntelliJ and ReSharper, really shines through in Kotlin. It’s pragmatic and concise and makes coding a satisfying and efficient experience.
Although Kotlin compiles to both JavaScript and soon machine code, I’ll focus on its prime environment, the JVM.
Please see my presentation to learn more!
You'll find out about testing push notifications on Android. Here you'll see a little bit of code, a lot of Android features and bugs and advises how to handle them.
Here you can find out the meaning of coaching techniques in today's dynamic IT environment, ways of how to use it for increasing the level of professional performance and resolve different situations in personal life.
Angular 2 vs React. What to chose in 2017?TechMagic
The number of web development frameworks and libraries based on JavaScript continue increasing. The most popular client-side technologies are Angular and React, but you might ask - What should I use?
Performance testing is a type of non-functional testing used to identify a system's response time, throughput, reliability, and scalability under given load conditions. It helps understand how a system will behave under extreme loads, identifies constraints, and which parts may misbehave in real-time. There are different types including baseline, benchmark, load, stress, endurance, and volume testing. JMeter is an open source tool commonly used for performance testing as it can simulate heavy loads and provide instant visual feedback. Key challenges include accurately simulating high user loads, implementing real-life usage scenarios, accounting for network latency, testing certain systems like chat servers, and reducing the time needed for metrics collection and report analysis.
NUnit is a unit testing framework for .NET languages that allows developers to write and run automated tests to determine if sections of code are functioning as intended. It works by defining TestFixtures containing individual Test methods annotated with attributes to identify setup, teardown, and expected exceptions. The presentation introduces unit testing and NUnit, explaining that unit testing verifies code modules are fit for use and NUnit is a widely used open source unit testing framework written in C# that brings the benefits of xUnit testing to .NET projects.
Unit testing is a software development method that involves writing small pieces of code called units to test individual functions or components. This helps ensure code works as intended and finds bugs early. Key benefits of unit testing include keeping code simple, making code more maintainable and robust, and providing regression tests. However, developers sometimes avoid unit testing due to perceptions that it is tedious or not valuable. Tools like NUnit and Visual Studio support automating unit tests. Test-driven development is a technique where tests are written before code to specify desired behavior.
This document provides an introduction to unit testing using Nunit. It discusses what unit testing is, the benefits of unit testing, and what is needed to perform unit testing. It then focuses on Nunit, explaining that Nunit is a unit testing framework for .NET languages. It provides hands-on examples of creating a test project using Nunit to test methods in a BMI calculator application. It demonstrates running tests using both the Nunit graphical user interface and console modes.
Significance Of Component Base Architecturechathurag
This document discusses component-based architecture and its advantages, such as separation of concerns and easier testability. It also discusses Plexus, an inversion of control container, and how it facilitates component-oriented programming. Finally, it briefly explains the application architecture in XWiki and suggests practices like maintaining blogs and chat applications to share learning experiences.
The document discusses key concepts in system architecture including:
1. Architecture is defined as the highest-level structure of a system including components, interfaces, and behaviors.
2. Components and connectors make up systems, which can be hierarchical. Properties and styles further define architectures.
3. A system architect understands relationships between components and conceptualizes a system's basic structure early on.
This document discusses build automation, continuous integration, and how NXTware Remote for Jenkins brings these practices to OpenVMS. It provides an overview of the benefits of build automation and continuous integration, including improved quality, accelerated builds, reduced errors, and documentation. NXTware Remote acts as a Jenkins proxy on OpenVMS, allowing developers to integrate code more frequently and detect issues earlier. The architecture involves Jenkins interfacing with NXTware Remote to run builds and tests on OpenVMS and return results.
The document outlines an upcoming programming workshop that will cover various JetBrains IDEs like PyCharm, IntelliJ IDEA, and PhpStorm. It then discusses Test Driven Development (TDD), including what TDD is, the development cycle used in TDD, and benefits like encouraging simple designs and confidence. Different types of software tests are also listed like unit tests, integration tests, acceptance tests, and others. Specific testing techniques like unit testing, integration testing using bottom-up and top-down approaches, and acceptance testing are then explained at a high level. Finally, some important notes on testing like trusting tests and prioritizing maintainability are provided.
This document discusses performance testing and tools for performance testing like JMeter. It provides details on how JMeter can be used to perform load testing and performance testing on different protocols. It outlines the steps to build test plans to test the performance of web applications and databases using JMeter including adding users, requests, listeners and more.
This slide goes from an introduction to general software testing down to testing of javascript application, explaining why test, when to test and what to test in an application. Mocha framework was used to explain how testing works in JS.
Talk Presented at #forLoopKaduna Meetup on July 1st, 2017
Unit testing involves writing code to test individual units or components of an application to ensure they operate as expected. Unit tests act as specifications for code and help produce better, more readable and maintainable code. An effective unit test has one test class per code class, runs tests in isolation, has clear and descriptive names from a user perspective, and asserts a single outcome per test. Tools like mocking frameworks can help with unit testing by injecting dependencies and states. Unit tests should focus on testing logic and not user interfaces.
The document discusses different types of software tests including unit tests, integration tests, acceptance tests, load tests, and performance tests. It emphasizes the importance of unit tests for validating individual code modules and classes work as intended. Writing unit tests before coding allows developers to test complex scenarios quickly, ensure code quality and readability, and refactor code with confidence.
How to Build Your Own Test Automation Framework?Dmitry Buzdin
Even though there are plenty of open source tools on the market every company needs to put them together and create a test automation framework on top. Best practices of doing that are quite well-known in industry and it is important to learn them before building your own framework. We will go through the core building blocks of test automation frameworks and how they are playing together. You will learn how to assemble your test automation toolchain out of open source libraries and how to integrate them together. The session will be heavily biased towards Java platform.
This document discusses installation testing, including its definition, methodology, sample test cases, and tips. Installation testing ensures all installed features function properly and all necessary components are installed. The methodology section outlines points to check like dependencies, installation path, uninstallation, and compatibility. Sample test cases verify the correct installation folder and correct display of installation instructions. Tips include using flow diagrams, forcing installation breaks, and verifying expected registry changes.
This document discusses continuous integration (CI), dealing with dependencies, and using Nuget for package management. It defines CI as merging code into a shared repository multiple times per day to detect errors quickly. Key CI practices include automating builds, tests, and deployments. Dependency management is important to avoid issues like conflicting dependencies. Nuget is a package manager that stores reusable code packages for Microsoft projects and manages dependencies through a manifest file.
While Google is adding Kotlin as an official Android language, we're also expanding our research on this language. It’s developed by JetBrains, and the fact that these are the people behind a suite of IDEs, such as IntelliJ and ReSharper, really shines through in Kotlin. It’s pragmatic and concise and makes coding a satisfying and efficient experience.
Although Kotlin compiles to both JavaScript and soon machine code, I’ll focus on its prime environment, the JVM.
Please see my presentation to learn more!
You'll find out about testing push notifications on Android. Here you'll see a little bit of code, a lot of Android features and bugs and advises how to handle them.
Here you can find out the meaning of coaching techniques in today's dynamic IT environment, ways of how to use it for increasing the level of professional performance and resolve different situations in personal life.
Angular 2 vs React. What to chose in 2017?TechMagic
The number of web development frameworks and libraries based on JavaScript continue increasing. The most popular client-side technologies are Angular and React, but you might ask - What should I use?
This presentation is devoted to Stripe payment system, which appeared on the market about 5 years ago. Here you'll find out about advantages and disadvantages of using new billing system.
Android developer options & android sdk tools (for qa)TechMagic
The document provides an overview of Android developer options and SDK tools used for QA testing. It discusses how to enable developer options on an Android device and describes the various debugging, input, drawing, and monitoring options available. It also outlines tools in the Android SDK like Android Device Monitor, DDMS, Hierarchy Viewer, and Android Monkey. Common ADB commands and basics of using the Android Monkey tool for smoke testing are also covered.
Tips and Tricks for email communication with customerTechMagic
This document provides tips and best practices for effective email communication, including keeping messages concise yet clear, using subject lines effectively, breaking up lists with numbers, being polite, and not overcommunicating. It also discusses topics like requirement clarification processes, project estimation examples, release scheduling considerations like QA activities and holidays, potential reasons for postponing releases, conducting call follow ups, and notifying teammates of cancellations or vacations in a timely manner.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
TechMagic - Development Studio for Startups (iOS, Android, Node.js)TechMagic
TechMagic is a development studio with 60+ employees across offices in Lviv, London, and Boston. They help startups launch their ideas using Lean Startup methodology. Their services include mobile and web development using technologies like Android, iOS, and Node.js. They employ Agile practices like 1-week iterations with weekly demos. Their portfolio includes apps and web applications for various industries.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
2. • “Unit tests” test individual units of code in isolation (for instance, individual
functions). They are fast and you usually have a lot of them.
• “Integration tests” test the integrations between different units, for
example the interaction between one module and its dependencies.
• “E2E (or end-to-end) tests” test the system as a whole, from the UI down
to the data store, and back.