This document provides lessons learned about automating API testing. It discusses what an API is and reasons for automating API tests, including getting clear responses close to the client experience. The document outlines different types of tests to automate, including status code checks, structure checks, and scenario checks. It also discusses cognitive barriers to testing, test setup and environment, using an automation framework, and splitting test logic from application logic. The goal is not to provide a how-to guide but rather discuss lessons learned about effective API testing.
Break to build - the mindset of the modern day testerViktor Slavchev
I spent last couple of years performing, talking, writing and listening about software testing.
But what is software testing? I am told my job is to “break software”. But why break it, it looks good?! I like the programmers, they are my friends. And, as Michael Bolton says, “We don’t break software, it was already broken when we got it”.
I sure don’t break software for living, but I do something way better and much more satisfying - I break clichés about software testing.
So, my job as your guide in your journey in testing will be to break some clichés from the past in order to build the mindset of the modern tester.
Automation vs. intelligence - "follow me if you want to live"Viktor Slavchev
Have you ever heard the story that your job is automatable, that all the human testers will be replaced by machines or automated tests and you will lose your job? Or even worse, that machines and artificial intelligence will take over our craft and our life and we will be totally useless. Do you buy these? Are you afraid?
“Come with me, if you want to live” – this was the famous line that many members of the Human resistance in the Terminator franchise used, when offering their help in the war against Skynet.
So, come with me (and John Connor), and join the testing resistance to fight on the side of intellect against the evil machine army. I am willing to challenge the I part in AI on contest by focusing on few key topics:
Can we translate testing into machine language? Polymorphic and mimeomorphic actions – what are these?
Do we really know what are the benefits of human testing? What are human testers irreplaceable for?
Do we really have empirical evidence that computers are capable of doing professional testing? Do we have evidence of “intelligence” at all?
Last year at RTC ‘17 I was asked – “Is AI the answer to all test automation problems?”. My answer is “No, it’s not!”. And this talk is my explanation why.
Elisabeth Hendrickson’s book, Explore It!, contains this definition: “Tested = Checked + Explored”. When I read it, I was fascinated. “What does that mean?”, I asked myself, “what does it /really/ mean?”
This talk described the journey I undertook to understand it, and other definitions of testing that I found along the way, and then to come up with a new definition that filled the gaps I saw in the others, without losing the aspects of them that I felt were valid and useful.
Essentially, I formalised what testing is for me. And, now that I have my definition, I can ask myself in any given situation whether my actions are consistent with the way I believe I want to behave.
When considering how automation can be useful in testing, many people think only about identifying difference from some expected behaviour, for example with unit tests.
Much of my testing is about exploration, about learning, about finding things that might matter that we haven't already thought about. In this talk, I'll discuss how I use automation to help me to do that. In particular I'll demo some ways in which I ask questions of the product and use automation to find expedient ways to get answers.
Break to build - the mindset of the modern day testerViktor Slavchev
I spent last couple of years performing, talking, writing and listening about software testing.
But what is software testing? I am told my job is to “break software”. But why break it, it looks good?! I like the programmers, they are my friends. And, as Michael Bolton says, “We don’t break software, it was already broken when we got it”.
I sure don’t break software for living, but I do something way better and much more satisfying - I break clichés about software testing.
So, my job as your guide in your journey in testing will be to break some clichés from the past in order to build the mindset of the modern tester.
Automation vs. intelligence - "follow me if you want to live"Viktor Slavchev
Have you ever heard the story that your job is automatable, that all the human testers will be replaced by machines or automated tests and you will lose your job? Or even worse, that machines and artificial intelligence will take over our craft and our life and we will be totally useless. Do you buy these? Are you afraid?
“Come with me, if you want to live” – this was the famous line that many members of the Human resistance in the Terminator franchise used, when offering their help in the war against Skynet.
So, come with me (and John Connor), and join the testing resistance to fight on the side of intellect against the evil machine army. I am willing to challenge the I part in AI on contest by focusing on few key topics:
Can we translate testing into machine language? Polymorphic and mimeomorphic actions – what are these?
Do we really know what are the benefits of human testing? What are human testers irreplaceable for?
Do we really have empirical evidence that computers are capable of doing professional testing? Do we have evidence of “intelligence” at all?
Last year at RTC ‘17 I was asked – “Is AI the answer to all test automation problems?”. My answer is “No, it’s not!”. And this talk is my explanation why.
Elisabeth Hendrickson’s book, Explore It!, contains this definition: “Tested = Checked + Explored”. When I read it, I was fascinated. “What does that mean?”, I asked myself, “what does it /really/ mean?”
This talk described the journey I undertook to understand it, and other definitions of testing that I found along the way, and then to come up with a new definition that filled the gaps I saw in the others, without losing the aspects of them that I felt were valid and useful.
Essentially, I formalised what testing is for me. And, now that I have my definition, I can ask myself in any given situation whether my actions are consistent with the way I believe I want to behave.
When considering how automation can be useful in testing, many people think only about identifying difference from some expected behaviour, for example with unit tests.
Much of my testing is about exploration, about learning, about finding things that might matter that we haven't already thought about. In this talk, I'll discuss how I use automation to help me to do that. In particular I'll demo some ways in which I ask questions of the product and use automation to find expedient ways to get answers.
Presented at https://www.onlinetestconf.com/program-spring-otc-2020/
Sometimes you’re asked to start testing in a context that is not ideal: you’ve only just joined the project, the test environment is broken, the product is migrating to a new stack, the developer has left, no-one seems quite sure what’s being done or why, and there is not much time.
Knowing where to begin and what to focus on can be difficult and so in this talk I’ll describe how I try to meet that challenge.
I’ll share a definition of testing which helps me to navigate uncertainty across contexts and decide on a starting point. I’ll catalogue tools that I use regularly such as conversation, modelling, and drawing; the rule of three, heuristics, and background knowledge; mission-setting, hypothesis generation, and comparison. I’ll show how they’ve helped me in my testing, and how I iterate over different approaches regularly to focus my testing.
The takeaways from this talk will be a distillation of hard-won, hands-on experience that has given me
* an expansive, iterative view of testing
* a comprehensive catalogue of testing tools
* the confidence to start testing anything from anywhere
Testing All the Way Down, and Other DirectionsJames Thomas
Slides from my talk at CEWT #3, http://qahiccupps.blogspot.co.uk/2016/11/testing-all-way-down-and-other.html
The idea that testing is or can be a recursive activity - or even fractal - has some currency. In that view, a test or experiment generates some data, which suggests new experiments, which generate some data, which suggest new experiments and so on. The kinds of activities being done at each stage will be self-similar and testing is used as a kind of microscope to focus in on some aspect of the system under test. Testing all the way down.
In this talk, I'll instead view testing as a number of different instruments that can be used in an arbitrary number of dimensions. Further, I'll suggest that testing can be applied not only to a system, but to descriptions of that system, to models of that system, to abstractions of that system, to a system which is testing that system, and to a system which is testing the system which is testing that system. And so on. It's testing all the way round.
I'll finish by proposing a definition of testing that I think might capture this wide applicability.
Things Could Get Worse: Ideas About Regression TestingTechWell
Michael Bolton, DevelopSense
Tester, consultant, and trainer Michael Bolton is the coauthor (with James Bach) of Rapid Software Testing, a course that presents a methodology and mindset for testing software expertly in uncertain conditions and under extreme time pressure. Michael is a leader in the context-driven software testing movement with twenty years of experience testing, developing, managing, and writing about software. Currently, he leads DevelopSense, a Toronto-based consultancy.
Agile Testing Days 2014 Keynote - Helping Testers Add Value on Agile ProjectsAlan Richardson
Every Agile project is different, we know this, we don’t do things ‘by the book’ on Agile projects. We learn, we interact, we change, we write the book we go along. Throughout all of this, testing needs to remain viable, and it needs to add value. Remaining viable in this kind of environment can be hard.
Fortunately, we can learn to add value. In this keynote, Alan will describe some of the approaches and models he has used to help testing remain viable. Helping testers analyze the ‘system of development’ so the test approach can target process risks. Helping testers harness their own unique skills and approaches. The attitudes that the testing process often needs to have driving it, and the skill sets that teams need to ensure are applied to their testing.
At a simple level, this is just Systems Thinking and Modeling. In practice this can prove highly subversive and deliberately provocative. Because we’re not talking about ‘fitting in’, we’re talking about survival.
Agile Testers: Becoming a key asset for your teamgojkoadzic
Slides for a presentation titled "Agile Testers: Becoming a Key Asset for your team" given at the Next Generation Testing Executive Briefing on 19 May 2010 in London
A Context-Driven Approach to Automation in TestingBugRaptors
: "To help ourselves test better, Context-Driven testers use tools. But, there is no such thing as Automation”
While reading the James Bach's blog, I found an interesting view about “Automation” in testing from Michael Bolton and James Bach.
The slides for the Oredev 2014 talk "confessions of an accidental Security Tester" - describing the various approaches and bad habits that I use, which allow me to stumble on to security problems.
I consider whether we as testers can be too closed-minded in our attitudes, whether there are schools of thought or approaches that, even if we care deeply about context, we are very unlikely even to consider and perhaps that we sometimes favour our reputation over giving ourselves the chance to do the best job that we can.
From CEWT#2, http://cewtblog.blogspot.co.uk/2016/02/cewt-2-abstracts.html
The Art of Questioning to improve Software Testing, Agile and AutomatingAlan Richardson
The presentation was delivered at the National Software Testing Conference on 17th May. It draws on lessons learned from various forms of fast, brief and systemic psychotherapy. With a few simple points:
* Why? is a question that targets beliefs
* How, What, Where, When, Who - all target structure and process
* We all have models of the world and our questions reflect that model
* Answers we give, reflect our model
* Responses to answers give information on how well the models of the question asker, and answering person, match up
* Testing can be modeled as a questioning process
* Improving our ability to ask questions improves our ability to test, manage, and change behaviour.
Helpful Automation Techniques - Selenium Camp 2014Justin Ison
Utilize REST to shorten test time and reduce flakiness.
Proxy your way to shorter test runs without full integration tests.
Framework you’re using has a bug? Use the Selenium API as a work around!
Presented at https://www.onlinetestconf.com/program-spring-otc-2020/
Sometimes you’re asked to start testing in a context that is not ideal: you’ve only just joined the project, the test environment is broken, the product is migrating to a new stack, the developer has left, no-one seems quite sure what’s being done or why, and there is not much time.
Knowing where to begin and what to focus on can be difficult and so in this talk I’ll describe how I try to meet that challenge.
I’ll share a definition of testing which helps me to navigate uncertainty across contexts and decide on a starting point. I’ll catalogue tools that I use regularly such as conversation, modelling, and drawing; the rule of three, heuristics, and background knowledge; mission-setting, hypothesis generation, and comparison. I’ll show how they’ve helped me in my testing, and how I iterate over different approaches regularly to focus my testing.
The takeaways from this talk will be a distillation of hard-won, hands-on experience that has given me
* an expansive, iterative view of testing
* a comprehensive catalogue of testing tools
* the confidence to start testing anything from anywhere
Testing All the Way Down, and Other DirectionsJames Thomas
Slides from my talk at CEWT #3, http://qahiccupps.blogspot.co.uk/2016/11/testing-all-way-down-and-other.html
The idea that testing is or can be a recursive activity - or even fractal - has some currency. In that view, a test or experiment generates some data, which suggests new experiments, which generate some data, which suggest new experiments and so on. The kinds of activities being done at each stage will be self-similar and testing is used as a kind of microscope to focus in on some aspect of the system under test. Testing all the way down.
In this talk, I'll instead view testing as a number of different instruments that can be used in an arbitrary number of dimensions. Further, I'll suggest that testing can be applied not only to a system, but to descriptions of that system, to models of that system, to abstractions of that system, to a system which is testing that system, and to a system which is testing the system which is testing that system. And so on. It's testing all the way round.
I'll finish by proposing a definition of testing that I think might capture this wide applicability.
Things Could Get Worse: Ideas About Regression TestingTechWell
Michael Bolton, DevelopSense
Tester, consultant, and trainer Michael Bolton is the coauthor (with James Bach) of Rapid Software Testing, a course that presents a methodology and mindset for testing software expertly in uncertain conditions and under extreme time pressure. Michael is a leader in the context-driven software testing movement with twenty years of experience testing, developing, managing, and writing about software. Currently, he leads DevelopSense, a Toronto-based consultancy.
Agile Testing Days 2014 Keynote - Helping Testers Add Value on Agile ProjectsAlan Richardson
Every Agile project is different, we know this, we don’t do things ‘by the book’ on Agile projects. We learn, we interact, we change, we write the book we go along. Throughout all of this, testing needs to remain viable, and it needs to add value. Remaining viable in this kind of environment can be hard.
Fortunately, we can learn to add value. In this keynote, Alan will describe some of the approaches and models he has used to help testing remain viable. Helping testers analyze the ‘system of development’ so the test approach can target process risks. Helping testers harness their own unique skills and approaches. The attitudes that the testing process often needs to have driving it, and the skill sets that teams need to ensure are applied to their testing.
At a simple level, this is just Systems Thinking and Modeling. In practice this can prove highly subversive and deliberately provocative. Because we’re not talking about ‘fitting in’, we’re talking about survival.
Agile Testers: Becoming a key asset for your teamgojkoadzic
Slides for a presentation titled "Agile Testers: Becoming a Key Asset for your team" given at the Next Generation Testing Executive Briefing on 19 May 2010 in London
A Context-Driven Approach to Automation in TestingBugRaptors
: "To help ourselves test better, Context-Driven testers use tools. But, there is no such thing as Automation”
While reading the James Bach's blog, I found an interesting view about “Automation” in testing from Michael Bolton and James Bach.
The slides for the Oredev 2014 talk "confessions of an accidental Security Tester" - describing the various approaches and bad habits that I use, which allow me to stumble on to security problems.
I consider whether we as testers can be too closed-minded in our attitudes, whether there are schools of thought or approaches that, even if we care deeply about context, we are very unlikely even to consider and perhaps that we sometimes favour our reputation over giving ourselves the chance to do the best job that we can.
From CEWT#2, http://cewtblog.blogspot.co.uk/2016/02/cewt-2-abstracts.html
The Art of Questioning to improve Software Testing, Agile and AutomatingAlan Richardson
The presentation was delivered at the National Software Testing Conference on 17th May. It draws on lessons learned from various forms of fast, brief and systemic psychotherapy. With a few simple points:
* Why? is a question that targets beliefs
* How, What, Where, When, Who - all target structure and process
* We all have models of the world and our questions reflect that model
* Answers we give, reflect our model
* Responses to answers give information on how well the models of the question asker, and answering person, match up
* Testing can be modeled as a questioning process
* Improving our ability to ask questions improves our ability to test, manage, and change behaviour.
Helpful Automation Techniques - Selenium Camp 2014Justin Ison
Utilize REST to shorten test time and reduce flakiness.
Proxy your way to shorter test runs without full integration tests.
Framework you’re using has a bug? Use the Selenium API as a work around!
Testing within a closed system is easy. Everything is generally accessible and can be interacted with freely. But what happens when the application requires integration with one or more third parties in order to function? In unit tests, we can use mocks and there are many Ruby libraries to make that happen. However, this doesn’t help us much when we’re testing deployed code in end-to-end scenarios or exploratory tests. The solution I found was to build a mock application to mimic the third party. This talk will cover the process and tools used to build the application, the advantages/disadvantages it provides, and explain how this mock is utilized in real-world situations.
Why Automated Testing Matters To DevOpsdpaulmerrill
“Automated testing is a pain in my ear! Why can’t QA get it right? Why do the tests keep breaking? And for Pete’s sake, stop blaming the infrastructure!”
…Ok, maybe you chose a different word than “ear”.
How often do you have thoughts like this? Daily?
Let’s talk about these frustrations, why they exist and how we can use them to improve our systems!
In this talk, Paul Merrill, founder and Principal Automation Engineer at Beaufort Fairmont explores why automated testing matters to DevOps. Join us to learn how automated testing can be a useful tool in the creation and release of your systems!
How do you tame a big ball of mud? One test at a time.Matt Eland
A broad and high level overview of .NET unit test libraries that will help you write better tests. Discussions around Scientist .NET, Bogus, AutoFixture, Snapper, and others.
Start with passing tests (tdd for bugs) v0.5 (22 sep 2016)Dinis Cruz
"Turning TDD upside down - For bugs, always start with a passing test" - Common workflow on TDD is to write failed tests. The problem with this approach is that it only works for a very specific scenario (when fixing bugs). This presentation will present a different workflow which will make the coding and testing of those tests much easier, faster, simpler, secure and thorough'
Presented at LSCC (London Software Craftsmanship Community) http://www.meetup.com/london-software-craftsmanship on sep 2016.
Code Palousa presentation- "Giving Digital Eyes to your Synthetic Tests"Christopher Hamm
My project combines open source technologies of Tensorflow with major computer vision model to create a powerful computer vision API. In the project, it can evaluate confidence levels for each labels using good training data. The practical application example will include the computer vision API integrated with a Selenium test script setup. The end result is a robust visual testing tool that can determine if a page compares better to a working state vs a failing state.
Introduction to cypress in Angular (Chinese)Hong Tat Yew
Cypress framework is a JavaScript-based end-to-end testing framework built on top of Mocha – a feature-rich JavaScript test framework running on and in the browser, making asynchronous testing simple and convenient. Cypress is like Protractor for Angular. In this talk, we will talk about how to write cypress test from scratch and some best practice.
Generating unit tests based on user logsRick Wicker
Developing without automated testing is hard and risky. Making legacy code testable is hard. Try to improve your logging, add a data layer and see if you can drive testing from user behavior.
Code reviews can be done in very different processes. In this talk we discuss our lightweight process for informal reviews with structured results. It's the first talk in our Code Review Culture Series.
Leandro Melendez - Switching Performance Left & RightNeotys_Partner
Since its beginning, the Performance Advisory Council aims to promote engagement between various experts from around the world, to create relevant, value-added content sharing between members. For Neotys, to strengthen our position as a thought leader in load & performance testing. During this event, 12 participants convened in Chamonix (France) exploring several topics on the minds of today’s performance tester such as DevOps, Shift Left/Right, Test Automation, Blockchain and Artificial Intelligence.
This presentation is a part of the COP2271C college level course taught at the Florida Polytechnic University located in Lakeland Florida. The purpose of this course is to introduce Freshmen students to both the process of software development and to the Python language.
The course is one semester in length and meets for 2 hours twice a week. The Instructor is Dr. Jim Anderson.
A video of Dr. Anderson using these slides is available on YouTube at: https://www.youtube.com/watch?v=c2CTDm19Lpg
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
Modern design is crucial in today's digital environment, and this is especially true for SharePoint intranets. The design of these digital hubs is critical to user engagement and productivity enhancement. They are the cornerstone of internal collaboration and interaction within enterprises.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
2. Agenda
• WTF is an API?
• Why would you automate an API?
• Serious cognitive barriers
• What tests worth automating
• Setup and environment
• The framework
4. Bullshit warning!
I commit to:
• Not giving you a “how to”
• No 30 mins introduction
• No “live coding misery”
• No “best practices”
5. Who am I: Viktor Slavchev
• Software tester, speaker and
teacher in testing
• Blog: mrslavchev.com
• @thetestingtroll
• Insert random brag about my
achievements
• This slide is bullshit
• Nobody reads this far
15. Few (un)obvious reasons to
automate via API
• Clear definitive response
• Close to client
• Good failure visibility
• Easy to test with code
Source: Models of automation
17. Setup, tech stack, context
• Restful API written in Php
• ReactJS front-end
• Docker compose – test env
• Codeception – testing tool
• Custom tools to produce data
19. Cognitive barriers
Few things to have in mind:
• The doc is not the product
• Your coding skills will hold you
back
• The need to explore
• Tests that pass vs. tests that test
20. What tests are worth automating?
… but first – what bugs do we care
testing for?
• Service returning wrong response code
• Throwing 500
• Returning wrong data
• No data at all
• Interaction problems
21. What test are worth automating?
• Status code checks
• Structure checks
• Scenario checks
25. Structure checks – pros and cons
Pros:
•Verify data
• Can be very specific
• Can use regex
(Codecept)
Cons:
•Useful for content only
•Suck with variable data
•Suck with deep
nesting/long responses
27. Scenario checks – pros and cons
Pros:
• Closest to client
interaction
• Expose integration
problems
• Can be used as shallow
regression suite
Cons:
•Slow to run/develop
•Require better
abstraction
•Hard to say when it is
too much
34. Let your framework mature
• Your framework will suck at first
• It will improve incrementally
• It can’t be done in the beginning
35. Splitting logic of the test and logic of
the app
• Move common actions to base
classes
• Move common prerequisites to
setup methods
• Build inheritance trees
• Reuse rather than repeat
36. Useful resources
• Hindsight lessons about API testing
• Automating and Testing a REST API – book by
Alan Richardson
• This article by Smart Bear
• Service virtualization by Bas Dijkstra free e-book
• Your brain!!!
