The document discusses AI tools for software testing such as ChatGPT, Github Copilot, and Applitools Visual AI. It provides an overview of each tool and how they can help with testing tasks like test automation, debugging, and handling dynamic content. The document also covers potential challenges with AI like data privacy issues and tools having superficial knowledge. It emphasizes that AI should be used as an assistance to humans rather than replacing them and that finding the right balance and application of tools is important.
Discussion of the current state of generative AI/Large Language Model technology, exploration of whether chat AIs can really think, future projections
The document appears to be a presentation about ChatGPT and its capabilities. It discusses ChatGPT's uses for writing books, programming, and answering questions. It also covers Microsoft's investments in AI over time, demonstrations of using ChatGPT with Office 365, and the potential impacts of ChatGPT and AI technologies on society.
LLM, ChatGPT, AI. A take on the new wave! After the PC, the internet, mobile and the cloud, the new wave is here: AI
The document discusses advances in large language models from GPT-1 to the potential capabilities of GPT-4, including its ability to simulate human behavior, demonstrate sparks of artificial general intelligence, and generate virtual identities. It also provides tips on how to effectively prompt ChatGPT through techniques like prompt engineering, giving context and examples, and different response formats.
This document discusses Peter Purgathofer's presentation on chatGPT and the implications of conversational AI. It includes sections on Ludwig Wittgenstein's work at TU Wien, a worksheet, and a comparison of two abstracts. The document concludes with a question about where current conversational AI technology falls in relation to future progress.
This document summarizes a presentation given by Professor Pekka Abrahamsson on how ChatGPT and AI-assisted coding is profoundly changing software engineering. The presentation covers several key points: - ChatGPT and AI tools like Copilot are beginning to be adopted in software engineering to provide code snippets, answers to technical questions, and assist with debugging, but issues around code ownership, reliability, and security need to be addressed. - Early studies show potential benefits of ChatGPT for tasks like software testing education, code quality improvement, and requirements elicitation, but more research is still needed. - Prompt engineering techniques can help maximize the usefulness of ChatGPT for software engineering tasks. Overall, AI
ChatGPT is an AI chatbot created by OpenAI that uses a fine-tuned GPT-3.5 language model to engage in natural conversations. It was trained using reinforcement learning with a reward model to generate helpful, harmless, and honest responses. The document discusses ChatGPT and how it compares to other AI technologies like AI painting, AI chatbots, and goals towards artificial general intelligence.
This talk delves into the extraordinary capabilities of the emerging technology of generative AI, outlining its recent history and emphasizing its growing influence on scientific endeavors. Through a series of practical examples tailored for researchers, we will explore the transformative influence of these powerful tools on scientific tasks such as writing, coding, data wrangling and literature review.
Chat GPT 4 can pass the American state bar exam, but before you go expecting to see robot lawyers taking over the courtroom, hold your horses cowboys – we're not quite there yet. That being said, AI is becoming increasingly more human-like, and as a VC we need to start thinking about how this new wave of technology is going to affect the way we build and run businesses. What do we need to do differently? How can we make sure that our investment strategies are reflecting these changes? It's a brave new world out there, and we’ve got to keep the big picture in mind! Sharing here with you what we at Cavalry Ventures found out during our Generative AI deep dive.
This document discusses generative AI and its potential transformations and use cases. It outlines how generative AI could enable more low-cost experimentation, blur division boundaries, and allow "talking to data" for innovation and operational excellence. The document also references responsible AI frameworks and a pattern catalogue for developing foundation model-based systems. Potential use cases discussed include automated reporting, digital twins, data integration, operation planning, communication, and innovation applications like surrogate models and cross-discipline synthesis.
For this plenary talk at the Charlotte AI Institute for Smarter Learning, Dr. Cori Faklaris introduces her fellow college educators to the exciting world of generative AI tools. She gives a high-level overview of the generative AI landscape and how these tools use machine learning algorithms to generate creative content such as music, art, and text. She then shares some examples of generative AI tools and demonstrate how she has used some of these tools to enhance teaching and learning in the classroom and to boost her productivity in other areas of academic life.
ChatGPT is an AI chatbot created by Anthropic to be helpful, harmless, and honest. It uses a transformer algorithm trained on millions of text conversations to identify patterns and relationships between words. While ChatGPT appears intelligent in its responses, it does not truly understand language and can be fooled. Several tools like GPT-ZERO exist to detect ChatGPT responses with high accuracy, but its answers can be modified to evade detection. The document recommends assignment designs that require skills beyond ChatGPT's abilities, like judgment, current events, group work, or multimedia submissions.
In the US, people are already implementing the use of converstaionl AI, ChatGPT in everydy mundane tasks. Implementation is not only limited to that. Various industries are also using this revolutionary technology for maintaining a superior customer experience. People are also criticizing ChatGPT for creating employment threats and also being unethical in it's answers. The technology is being widely applauded but everything has certain pain points associated with it.
ChatGPT is a cutting-edge language model developed by OpenAI that is changing the way people interact with artificial intelligence. With advanced machine learning algorithms and a highly flexible design, ChatGPT makes it easy to generate human-like text based on a wide range of prompts. Whether you're building a chatbot, composing a report, or creating some creative writing, ChatGPT has you covered. One of the biggest advantages of ChatGPT is its ability to learn from the vast amounts of text data it has been trained on, continuously improving its performance over time. This means that the responses generated by ChatGPT are more accurate and relevant than ever before.
In this session we are going to know about chatGPT that specialises in dialouge, its backend working, api, and it's implementation with python.
With the recent buzz on Generative AI & Large Language Models, the question is to what extent can these technologies be applied at work or when you're studying and how easy is it to manage/develop your own models? Hear from our guest speaker from Google as he shares some insights into how industries are evolving with these trends and what are some of Google's offerings from Duet AI in Google Workspace to the GenAI App Builder on Google Cloud.
How AI is going to change the world? "AI: The Future of Our World“ "AI and its Transformative Impact on the World: Understanding the Potential of Chatbots and Conversational AI" What is Artificial Intelligence and how it works? What are Chatbots? What Is ChatGPT? Difference between chatGPT 3 and chatGPT 4? Is Jasper artificial intelligence? What is Character AI and how it works? How chatGPT is going to change the world? Why we are calling ChatGPT the future?
The document compares GitHub Copilot, Amazon CodeWhisperer, and ChatGPT for Java developers. It provides an overview of each tool, compares their programming language support, IDE support, and pricing. It demonstrates their abilities for general tasks, simple functions, more complex algorithms, JUnit testing, and Spring Boot web development. It concludes that while the tools provide helpful suggestions, developers are still needed to ensure correctness and efficiency. GitHub Copilot and ChatGPT benefit from OpenAI, while Amazon CodeWhisperer needs quality improvements for Java but may leverage AWS services.
The document discusses automated functional testing for aerospace and defense systems using Eggplant software. It notes that A&D software is large, complex, mission-critical, and operates in stressful environments. It outlines challenges like controlling costs, ensuring compatibility with legacy and new technologies, and effectively testing dynamic user interfaces. The document proposes that Eggplant's automation intelligence suite can help maximize mission success by enabling various approaches: 1) Modeling user journeys and outcomes, 2) Anticipating real-world stresses, 3) Enabling third-party testing while protecting IP, 4) Ensuring end-to-end user experiences, 5) Predicting successful system launches, and 6) Tracking mission progress and recommending improvements.
19.12.2014 в креативном пространстве "Часопыс" состоялась очередная встреча от проекта GoIT, посвященная "вечному". Наши любимые преподаватели и менторы доносили следующее: • Виды QA и специфика работы в каждом из этих направлений; • Необходимые вспомогательные навыки, которыми должен обладать тестировщик; • Новинки мира QA. Наши спикеры: Николай Ковш - QA Engineer в Ciklum, которому успешно удалось перейти в сферу IT из маркетинга. Расскажет о необходимости тестировщикам уметь программировать. Алла Пенальба - QA Lead в компании invisibleCRM, работала в компании ПИКСУС, 4 года проживала в Бельгии, где работала Mobile QA Engineer. Марина Шевченко - Mobile QA Engineer в Ciklum. QA с опытом тестирования веб, десктопных и мобильных приложений. Расскажет о специфике тестирования мобильных приложений. Александр Майданюк - Head of Quality Assurance Solution в компании Ciklum. Занимал должности QA Lead, Manager, QA Consultant и Trainer. Эксперт и судья QA секции чемпионата UA Web Challenge. Соучредитель Киевского клуба тестировщиков QA Club.
Infrastructure as Code represents treating infrastructure components like software that can be version controlled, tested, and deployed. The document discusses tools and techniques for implementing Infrastructure as Code including using version control, continuous integration/delivery, configuration automation, and virtual labs for testing changes. It provides examples of workflows using these techniques and recommends starting small and evolving Infrastructure as Code practices over time.
Gauge is an open source, lightweight test automation tool that allows for simple, collaborative and adaptable testing. It supports various programming languages and IDEs through plugins. Tests are written in a specification file and can be run in parallel for continuous integration and delivery. Gauge advocates for the testing pyramid approach of having more simple unit and integration tests than complex end-to-end tests.
Mikko Paukkila discusses optimizing software development processes to balance bureaucracy and flexibility. He advocates for continuous integration to find errors early and speed up feedback loops. Tools like Git, Jenkins, Gerrit enable CI by automating builds, testing and code reviews. Process optimizations include reducing time from change to product, automating more tests, and ensuring developers have easy environments and fast feedback. The goal is enabling smooth development flows from needs to requirements to changes to high quality products.
Designing a perfect, failproof software delivery system is impossible. Failures will happen. What's more important is the speed and reliability of your recovery. Shipping with feature flags helps you limit your risk in the first place and recover faster when the unexpected happens. Today, with Optimizely Agent, companies that build their apps using service-oriented architectures can achieve production-scale faster with their feature delivery and experimentation platform.
The document discusses different layers of automated acceptance testing and compares different toolsets for each layer. The three layers are: 1) Acceptance Criteria Layer which defines test scenarios in a business-readable format, 2) Test Implementation Layer which implements tests against the system under test, and 3) Application Driver Layer which executes tests against the application. Popular tools like Cucumber, Concordion and FitNesse are compared across the layers in terms of their functionality and how each layer is addressed. The document also provides references and suggestions for further exploring related testing concepts.
Appium is the leading open source and de facto framework for cross-platform iOS and Android mobile functional test automation. That’s nothing new. With constant changes in the mobile space, and together with the ongoing DevOps transformation, teams are challenged with the objective of enhancing test automation coverage, stability, and delivering valuable feedback to the mobile app developers as quickly as possible. Additionally, quite often app developers and testers naïvely approach testing by following test steps, rather than testing from the end-user perspective. Lastly, the testing ecosystem is divided into various practitioners with different skillsets following different methodologies. In this webinar led by Perfecto’s CTO Uzi Eilon, and Chief Evangelist and Author Eran Kinsbruner to uncover the following: -Get a baseline on where Appium framework stands as we begin 2019. -Realize the importance of advanced Appium testing approach from an end-user flow perspective. -Learn about the toolset you need to make your Appium success complete. -Learn how to match the skillset and methodology while using the Appium framework. -Behavior-driven development (BDD) based testing with Appium and Perfecto’s Quantum framework. -Testing at scale in the cloud via Appium Studio, with the Perfecto cloud connecting to the community. -See how AI-driven reporting in Perfecto’s DigitalZoom can reduce the time to analyze, resolve issues, and eliminate noise in your pipeline.
From 0 to DevOps in 80 Days Link to the webinar replay: https://info.dynatrace.com/apm_dtm_ops_17q3_wc_from_enterprise_tocloud_native_na_registration.html “Innovate or die” may sound extreme, but it’s the only way to thrive in today’s ever competitive market. Bernd Greifeneder, CTO of Dynatrace, wanted to ensure that the company was relevant 5 years from now so he formed an internal incubator with one goal: transform Dynatrace into a Cloud Native DevOps organization. The incubator focused on what the company needed to do in order to integrate nascent cloud technologies so that they wouldn’t be left in the dust when the inevitable tipping point to cloud arrives. Transforming into a cloud native company would allow for rapid release cycles and provide an embedded feedback loop. The Results: Dynatrace now has a 99.998% availability of SaaS Service and can deploy changes within an hour if necessary. In parallel, a new SaaS and managed offering is released every 2 weeks with 170 production updates per day. Watch this recorded webinar as Bernd Greifeneder shares the lessons learned moving Dynatrace from an on-prem company to one that is cloud native. Bernd discusses: • The driving factors that led to the transformation • The goals that were set back in 2011 towards the engineering team • How to sell such a transformation project in a large enterprise organization • How to support this multi-year project from top down without impacting regular operations • What's next on the innovator's mind
Slides from webinar, co-hosted by the Vivit UK & Ireland Local User Groups on May 27th 2020. James Walker from Curiosity Software Ireland presented on model-based testing for ALM/Octane, setting out how model-based testing enables greater communication, collaboration and end-to-end automation. For many organizations today, ALM Octane provides the single source of truth for distributed teams. Its scalable test management keeps testers and developers synchronised with granular analysis of testing progress and results, all integrated into CI/CD pipelines and agile methodologies. However, the quality of this testing remains dependent on the quality of the tests fed in and assigned to testers. Testing speed furthermore remains limited by the efficiency of that test creation. Manual, unsystematic test design and a reliance on low-coverage production data will still lead to low coverage tests. Those tests will also remain impossible to maintain in tight iterations, leaving new releases further exposed to damaging bugs. Impeccable test management instead deserves impeccable test design. This webinar demonstrated how model-based test generation seamlessly maintains optimized test cases and data in ALM Octane, all linked to system requirements and automation frameworks for in-sprint maintenance and test execution. You will discover a requirements-driven approach to test maintenance, in which test cases, scripts and data are maintained as quick-to-build flowcharts are updated. Powerful mathematical algorithms generate the smallest set of tests needed to “cover” the latest system logic, with “just in time” data allocation to ensure that every test has valid test data. Pushing the tests to integrated automation frameworks enables truly “Continuous Testing”, with granular run results synchronized automatically in ALM Octane.
Katalon Studio is a codeless automation testing tool that allows users to create tests visually without writing code. It uses a drag and drop interface or record and playback functionality to automate tests. Some key benefits of codeless automation with Katalon Studio include reduced test automation time, higher test coverage through increased regression test execution, cross-browser and cross-platform testing capabilities, and integration with continuous integration/continuous delivery tools. The presentation demonstrated Katalon Studio's features for web UI testing, API testing, and code-based versus codeless automation approaches.
Autopilot for Studio unlocks the potential of Generative AI to support rapid bot development. Learn how to supercharge your development workflow with the UiPath Chicago + SoCal Chapter presentation on Autopilot for Developers! Topics will cover: Studio Web Workflow Generation Studio and Studio Web Expression Builder Studio Coded Automation Code Generation Studio Coded Test Code Generation
Find out what testing works for your mobile app. Agile Software Development means we want to maximise progress while minimising waste. Delays cause waste, for instance wasted time and efforts; ineffective work causes waste; poor quality causes waste; and bugs cause waste and delay progress, etc. Mobile apps and the mobile app ecosystem help determine what sorts of testing will be more valuable for the project. This workshop introduces various key concepts and factors related to testing mobile apps effectively. You will have the opportunity to practice testing mobile apps during the workshop to help reinforce your learning and discovery. We will cover both interactive and automated testing of mobile apps, and find ways to reduce the Time To Useful Feedback (TTUF) so the project team can make more progress while reducing project waste. We will also cover various ways to gather more and better information about the qualities of our mobile codebase and of the quality of the apps-in-use. Bring your mobile apps and mobile devices and be prepared to get involved in testing! More details: http://confengine.com/agile-pune-2014/proposal/861/agile-mobile-testing Conference: http://pune.agileindia.org/
This document summarizes a talk on unit testing in JavaScript. It introduces the speaker and their company Third Wave Technology. It then defines unit testing as writing code to test individual units in isolation. The benefits of unit testing are discussed such as speeding up development, providing documentation, and helping write better code. Popular JavaScript unit testing frameworks like QUnit and Jasmine are presented. The document concludes by suggesting factors to consider when choosing a unit testing framework.
UiPath Test Automation with GenAI provides an overview of using generative AI (GenAI) to enhance test automation capabilities within the UiPath platform. Specifically, it discusses how GenAI can be used to generate test cases from requirements, automate test steps through no-code or low-code tools, and generate synthetic test data. The presentation also outlines UiPath's new Autopilot capabilities for the Test Manager, which will use GenAI to accelerate the entire testing lifecycle from planning to analysis and be generally available in April 2024. In closing, the presenter provides their background and experience in test automation.
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
What is testing? What is agile testing? What is automated testing? What is agile testing? Unit testing Mock testing Functional testing Acceptance testing Integration testing Performance/load/stress testing Deployment testing Methods of testing White/black/grayboxtesting GUI vs. businesslogictesting Improving code testability Codefacing vs. businessfacingtesting Smoke testing Automated testing strategies Virtualization Code coverage Resources File Can be downloaded from: http://community.scmgalaxy.com/
Continuous delivery requires more that DevOps. It also requires one to think differently about product design, development & testing, and the overall structure of the organization. This presentation will help you understand what it takes and why one would want to deliver value to your customers multiple times each day. #CIC Jeff "Cheezy" Morgan Ardita Karaj
The document discusses factors to consider when choosing a test automation tool and framework. It describes how manual testing is time-consuming and prone to errors, while automation testing addresses these issues. The key steps in selecting a tool are to analyze requirements, skill sets, costs, and evaluate tools based on parameters like ease of use, support, and integration. Implementing a hybrid framework combines the benefits of modular, data-driven and keyword-driven approaches. Proof of concept testing potential tools helps confirm the right selection. Choosing tools and frameworks requires effort but pays off in project success.
Explore the advantages of integrating AI-powered testing into the CI/CD pipeline in this session from Applitools engineer Brandon Murray. More information and session materials at applitools.com Discover how shift-left strategies and advanced testing in CI/CD pipelines can enhance customer satisfaction and streamline development processes, including: • Significantly reduced time and effort needed for test creation and maintenance compared to traditional testing methods. • Enhanced UI coverage that eliminates the necessity for manual testing, leading to quicker and more effective testing processes. • Effortless integration with the development workflow, offering instant feedback on pull requests and facilitating swifter product releases.
Explore how to use the cutting-edge integration of Visual AI from Applitools with Kobiton's real mobile device cloud to create a comprehensive solution for continuous UI testing. See more information and find the on-demand recording at applitools.com.
See how rethinking your test automation tech stack can reduce costs, enhance agility, and expand coverage—while keeping a competitive edge.
Discover practical, AI-driven solutions to streamline test process, maintain high-quality user experiences, and accelerate eCommerce growth. Session recording and more info at applitools.com
Looking for cutting-edge AI-based test automation tools to level up your SDLC today? In this webinar, we will hit reset on the industry expectations around what your tooling needs to look and act like—and give you a preview of the new product we’ve been pouring ourselves into. You will see why now is the time to shake things up and push beyond what you thought possible in your test automation practice.
Explore how can AI drive value throughout software design, development, and testing. Session recording and more info at https://applitools.info/d0u
Explore the capabilities of AI in software test automation and see a demonstration of how AI can be used today to significantly expand end-to-end test coverage in this session with Applitools CTO Adam Carmi. Plus, see a special sneak peek of the next great wave in test automation—autonomous testing. More info and session materials at http://applitools.info/xe6
Leaders from top-performing teams share successful techniques and strategies for the implementation and execution of test automation at scale. See the session recording and more details at http://applitools.info/k6tj
Explore how your team can leverage AI and the combined power of GitHub and Applitools to rapidly expand your automated testing capabilities in this interactive session with GitHub’s Developer Advocate Rizel Scarlett and Software Quality Evangelist Anand Bagmar. Session recording and more info at https://applitools.info/hdt See a practical demonstration of: • Streamlining test implementation and maintenance using GitHub Copilot • How Copilot Chat can provide valuable suggestions for code improvements and refactoring • Running automated tests automatically when code is merged to the main branch using GitHub Actions • Self-healing your automation using the Applitools Execution Cloud and scale seamlessly with the Applitools Ultrafast Grid • How GitHub Copilot can help developers recall syntax with different programming languages
Explore the efficiencies of test automation using the GienTech automation framework enhanced by the AI-powered Applitools platform. Details and session recording with demonstration at https://applitools.info/j90
Focusing on three key areas—Test Cases, Test Data, and Test Execution—these leaders shared their experience with the tools and techniques that have proven successful in their organizations. Along the way, they discussed their journey to testing at scale and which technologies and strategies have helped them reach their goals. Plus, they talked about the new innovations their top-performing teams are pursuing. More info and session materials at applitools.com
In this session with Applitools co-founder Adam Carmi, you will see the Applitools Execution Cloud in action, learn how self-healing works under the hood, and explore how you can execute your test suites in orders of magnitude faster and more stable than with any other test execution infrastructure. Session recording and more info at https://applitools.info/ixn Key takeaways: • What is self-healing technology and why is it useful? • Learn how self-healing works under the hood • Learn how to run a Selenium test on the Applitools Execution Cloud • Learn how to easily implement effective cross-device and browser tests
Get an exclusive look at Applitools’ newest product, Centra. Centra is revolutionizing the way teams collaborate on UI by addressing one of the most challenging and important parts of the product delivery lifecycle – the handoff between designs and implementations. With Centra, designers, developers, testers, product managers, and marketers can track, validate, and collaborate on UIs from design in Figma to implementation in a customer’s web browser, ensuring that there is no more drift between designs and development. Don’t miss this opportunity to see how Centra can help you streamline your UI delivery process and improve collaboration within your team.
The quality assurance industry is constantly changing and evolving. In the future, the QA role will involve more automated tests, infrastructure knowledge, and heuristics skills. QA professionals will take on responsibilities like AI testing, web3 testing, observability, and security testing. Soft skills like communication and problem solving will also remain important as computers are still limited in replicating human interaction.
Everyone wants to make quick releases, but the look-and-feel UX validation is a manual, slow, and error-prone activity. Any UX-related issues propping up cause huge brand-value and revenue loss, may lead to social-trolling, and, even worse, dilute your user base. This is an area where AI & ML can help. In this hands-on workshop, using examples, we will explore: the importance of automated visual validation how an AI-powered tool, Applitools Visual AI, can solve this problem. Integrate Applitools Visual AI in your Selenium-Java automation and learn by practice: The different AI algorithms various Applitools capabilities and features scale your automation using the Applitools Ultrafast Grid.
The web has evolved. Finally, testing has too. Cypress is a modern testing tool that answers the testing needs of modern web applications. It has been gaining a lot of traction in the last couple of years, gaining worldwide popularity. If you have been waiting to learn Cypress, wait no more! Filip Hric will guide you through the first steps on how to start using Cypress and set up a project on your own. The good news is, learning Cypress is incredibly easy. You’ll write your first test in no time, and then you’ll discover how to write a full end-to-end test for a modern web application.
Join Rex Jones II as he takes you through his inspiring career journey from washing cars to test automation. Explore his big break into testing with automation and the challenges he faced leading up to that moment.
Lisa Crispin shares her experiences with striving to deploy smaller changes more frequently. Explore the useful experiments Lisa and her team used to overcome common challenges and move towards successful CD.
Anand Bagmar discusses AI-powered cross-browser testing using Applitools Visual AI. It adds artificial intelligence capabilities to functional automation testing, requiring less code while providing greater test coverage and more stable code, resulting in fewer defects in production. By using Applitools Visual AI with an ultrafast cloud, it enables AI-powered cross-browser testing with less test data, less load on environments, and less flakiness from infrastructure, browser, and network issues. The solution is described as being super fast, allowing seamless scaling, and easy to use.
APIs are an essential part of an increasingly large number of applications that we use daily. APIs enable applications to exchange data and functionality easily and securely. As testers, we want to ensure that our APIs do not break and provide the expected functionality. We can automate our APIs to speed up the rate at which our checks are done. This workshop is geared toward persons who are new to API automation, who want a refresher or want to learn how to automate APIs using Supertest (a JS framework). In this workshop, you will learn how to get started with automating APIs using Supertest (a JS framework). We will be writing test automation for the restful-booker and the SpaceX-graphQL API. The workshop will cover how to automate common API requests (GET, POST and PUT), negative tests for your API as well as check that your APIs handle errors appropriately and follow the specified schema. During this workshop, you will also learn how to automate workflows for an API. To follow along with this workshop, Postman installed on your machine.
Connectors integrate Apache Kafka® with external data systems, enabling you to move away from a brittle spaghetti architecture to one that is more streamlined, secure, and future-proof. However, if your team still spends multiple dev cycles building and managing connectors using just open source Kafka Connect, it’s time to consider a faster and cost-effective alternative.
An MVP (Minimum Viable Product) mobile application is a streamlined version of a mobile app that includes only the core features necessary to address the primary needs of its users. The purpose of an MVP is to validate the app concept with minimal resources, gather user feedback, and identify any areas for improvement before investing in a full-scale development. This approach allows businesses to quickly launch their app, test its market viability, and make data-driven decisions for future enhancements, ensuring a higher likelihood of success and user satisfaction.
Our world runs on software. It governs all major aspects of our life. It is an enabler for research and innovation, and is critical for business competitivity. Traditional software engineering techniques have achieved high effectiveness, but still may fall short on delivering software at the accelerated pace and with the increasing quality that future scenarios will require. To attack this issue, some software paradigms raise the automation of software development via higher levels of abstraction through domain-specific languages (e.g., in model-driven engineering) and empowering non-professional developers with the possibility to build their own software (e.g., in low-code development approaches). In a software-demanding world, this is an attractive possibility, and perhaps -- paraphrasing Andy Warhol -- "in the future, everyone will be a developer for 15 minutes". However, to make this possible, methods are required to tweak languages to their context of use (crucial given the diversity of backgrounds and purposes), and the assistance to developers throughout the development process (especially critical for non-professionals). In this keynote talk at ICSOFT'2024 I presented enabling techniques for this vision, supporting the creation of families of domain-specific languages, their adaptation to the usage context; and the augmentation of low-code environments with assistants and recommender systems to guide developers (professional or not) in the development process.
dachnug51 | All you ever wanted to know about domino licensing | Uffe Sorensen
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Presentation to Wing wing community. Porting "Blue Zone" application featured in the "Hexagonal Architecture Explained" book.
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CViewSurvey is a SaaS-based Web & Mobile application that provides digital transformation to traditional paper surveys and feedback for customer & employee experience, field & market research that helps you evaluate your customer's as well as employee's loyalty. With our unique C.A.A.G. Collect, Analysis, Act & Grow approach; business & industry’s can create customized surveys on web, publish on app to collect unlimited response & review AI backed real-time data analytics on mobile & tablets anytime, anywhere. Data collected when offline is securely stored in the device, which syncs to the cloud server when connected to any network.
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Enhance the top 9 user pain points with effective visual design elements to improve user experience & satisfaction. Learn the best design strategies
Cisco Live Announcements: New ThousandEyes Release Highlights - July 2024
What do fleet managers do? What are their duties, responsibilities, and challenges? And what makes a fleet manager effective and successful? This blog answers all these questions.
This is the guide on how you can use google's ML kit for machine learning applications on mobile.
Hironori Washizaki, "Charting a Course for Equity: Strategies for Overcoming Challenges and Promoting Inclusion in the Metaverse", IEEE COMPSAC 2024 D&I Panel, 2024.
Your project needs and long-term objectives will ultimately choose which of React Native and Flutter to use. For applications using JavaScript and current web technologies in particular, React Native is a mature and trustworthy choice. For projects that value performance and customizability across many platforms, Flutter, on the other hand, provides outstanding performance and a unified UI development experience.
Are you wondering how to migrate to the Cloud? At the ITB session, we addressed the challenge of managing multiple ColdFusion licenses and AWS EC2 instances. Discover how you can consolidate with just one EC2 instance capable of running over 50 apps using CommandBox ColdFusion. This solution supports both ColdFusion flavors and includes cb-websites, a GoLang binary for managing CommandBox websites.
Free ad-supported streaming takes off! Dive into the projected surge of FAST channels & market size from 2024 to 2027.