This document discusses test data management. It begins by defining test data and the requirements for test data. It then discusses four common test data strategies: the elementary pattern, refresh data source pattern, selfish data generation pattern, and data generation and batch cleanup. It also lists several popular test data management tools and discusses how GDPR impacts test data management. It promotes the open source Testinium Test Data Persister tool and invites the reader to join the organization.
Management & streamlining of test data is more than important and test data management remains a critical component in the testing life cycle for software & apps.
Test data management or TDM, facilitates test data during various phases of a software development life cycle. The data consumed, tested & modified is constantly put to use during the complete software cycle.
The evolution of Test Data Management into a comprehensive service ensures that the need for relevant data during various phases of the software life cycles are taken care of pushing faster go-market times.
Get More Insight at:
http://softwaretestingsolution.com/blog/test-data-management-managed-service-software-quality-assurance/
Systems Thinker, Developer, Efficient, Tester (SDET) role is not limited to unit testing & test automation, it is a mindset to approach testing in an agile environment. Testing is contextual and methods & tools we adopt to perform testing is to add value to the product used by the consumers or the enterprise.
According to our customer surveys and confirmed by industry statistics, manual testers spend 50-70% of their effort on finding and preparing appropriate test data. Considering the fact that manual testing still accounts for 80+% of test operation efforts, up to half (!) of the overall testing effort goes into dealing with test data.
Find out how Tosca Testsuite can help you to lower the maintenance effort of your test data and operating costs of your test environment while building an efficient test data management strategy.
A test automation framework defines an organization's way of doing things. It is a set of assumptions, concepts and tools that provide support for automated software testing.
Test Automation Best Practices (with SOA test approach)Leonard Fingerman
Today we hear a lot of buzz about the latest & greatest test automation tools like Selenium, Rational Functional Tester or HP LoadRunner but to make your test automation effort successful it might take more than just having the right tool. This presentation will try to uncover major pitfalls typically involved with test automation efforts. It will provide guidance on successful strategy as well as differences among third-generation frameworks like keyword-driven, data-driven and hybrid. It will also cover various aspects of SOA test automation
Test Data Management and Its Role in DevOpsTechWell
Do you often have to wait for the availability of the right test data to complete your testing? Now imagine you are using continuous integration and continuous delivery with agile and DevOps, and your test data is not available when you need it. This is a challenge and a bottleneck for the rollout of true DevOps. The key to efficient test data management (TDM) is to streamline and automate the test data management process to deliver the test data in minutes, use correct datasets for test improvement and coverage, and secure the test data automatically, enabling shorter test cycles. Join Sunil Sehgal as he shares how to automate test data creation by retrieving and storing data with a game-changing data model—The Logical Unit. Sunil shows how to look at data a different way—storing and retrieving it based on business logic, thus the name Logical Unit. Join Sunil as he explains how this allows the business to easily design TDM’s base schema according to their needs, rather than trying to fit them into a pre-defined structure.
Management & streamlining of test data is more than important and test data management remains a critical component in the testing life cycle for software & apps.
Test data management or TDM, facilitates test data during various phases of a software development life cycle. The data consumed, tested & modified is constantly put to use during the complete software cycle.
The evolution of Test Data Management into a comprehensive service ensures that the need for relevant data during various phases of the software life cycles are taken care of pushing faster go-market times.
Get More Insight at:
http://softwaretestingsolution.com/blog/test-data-management-managed-service-software-quality-assurance/
Systems Thinker, Developer, Efficient, Tester (SDET) role is not limited to unit testing & test automation, it is a mindset to approach testing in an agile environment. Testing is contextual and methods & tools we adopt to perform testing is to add value to the product used by the consumers or the enterprise.
According to our customer surveys and confirmed by industry statistics, manual testers spend 50-70% of their effort on finding and preparing appropriate test data. Considering the fact that manual testing still accounts for 80+% of test operation efforts, up to half (!) of the overall testing effort goes into dealing with test data.
Find out how Tosca Testsuite can help you to lower the maintenance effort of your test data and operating costs of your test environment while building an efficient test data management strategy.
A test automation framework defines an organization's way of doing things. It is a set of assumptions, concepts and tools that provide support for automated software testing.
Test Automation Best Practices (with SOA test approach)Leonard Fingerman
Today we hear a lot of buzz about the latest & greatest test automation tools like Selenium, Rational Functional Tester or HP LoadRunner but to make your test automation effort successful it might take more than just having the right tool. This presentation will try to uncover major pitfalls typically involved with test automation efforts. It will provide guidance on successful strategy as well as differences among third-generation frameworks like keyword-driven, data-driven and hybrid. It will also cover various aspects of SOA test automation
Test Data Management and Its Role in DevOpsTechWell
Do you often have to wait for the availability of the right test data to complete your testing? Now imagine you are using continuous integration and continuous delivery with agile and DevOps, and your test data is not available when you need it. This is a challenge and a bottleneck for the rollout of true DevOps. The key to efficient test data management (TDM) is to streamline and automate the test data management process to deliver the test data in minutes, use correct datasets for test improvement and coverage, and secure the test data automatically, enabling shorter test cycles. Join Sunil Sehgal as he shares how to automate test data creation by retrieving and storing data with a game-changing data model—The Logical Unit. Sunil shows how to look at data a different way—storing and retrieving it based on business logic, thus the name Logical Unit. Join Sunil as he explains how this allows the business to easily design TDM’s base schema according to their needs, rather than trying to fit them into a pre-defined structure.
API Testing: The heart of functional testing" with Bj RollisonTEST Huddle
View webinar: http://www.eurostarconferences.com/community/member/webinar-archive/webinar-81-api-testing-the-heart-of-functional-testing
An API, or Application Programming Interface, is a collection of functions that provide much of the functional capabilities in complex software systems. Most customers are accustomed to interacting with a graphical user interface on the computer. But, many customers do not realize the much of the functionality of a program comes from APIs in the operating system or program's dynamic-link libraries (DLL). So, if the business logic or core functionality is exposed via an API call then and if we want to find functional bugs sooner than API testing may be an approach that provides additional value in your overall test strategy. Additionally, API testing can start even before the user interface is complete so functional capabilities can be tested while designers are hashing out the "look and feel." API testing will not replace testing through the user interface, but it can augment your test strategy and provide a solid foundation of automated tests that increase your confidence in the functional quality of your product.
Design patters exist for years in software development. Some developers love them, some think they are useless. But design patters has very clear goals: describe common solutions for common problems, create shared language for community, improve understanding and reuse of existing approaches. Test automation has its own set of problems, so there is a set of helpful design patterns for this area. In this talk I will run through all known patterns and describe them in details with several practical samples.
Effective Software Test Case Design Approach highlights typical wrong approaches to software test case design and focuses on an effective methodology in test case design from a collaborative approach.
Through the use of an example requirement/user story, this presentation highlights the "interactions" between the stakeholders, i.e. Product Owner, Developer, and Test Engineer in the development of user story acceptance criteria, details, test scope, and effective, consistent and valid test cases.
Agile Test Management Using Jira and ZephyrXBOSoft
Do you have traceability where you can efficiently determine the cause of defects if there was an unclear requirement? Are you sure your test cases cover your requirements? Can you easily execute targeted regression when you’ve updated your software’s functionality? Now with software development teams mostly working from home or in dispersed geographies, supporting effective collaboration between remote workers is critical. In this XBOSoft quarterly webinar, our CEO, Philip Lew, teams up with BDQ’s CEO Chris Bland, to discuss the problems with working remotely, integrating the phases of testing in development in an Agile, and how this can be done using Zephyr, one of the predominant plugins in the Atlassian marketplace for test management. In this webinar, you will learn how to:
--Link tests with user stories and group tests within test cycles.
--Tie your results (defects) all the way back to user stories for effective defect root cause analysis.
--Classify defects to analyze and prioritize your test efforts.
--Use the traceability matrix with Zephr for deep visibility into your Agile process.
An Introduction To Automated API TestingSauce Labs
As more and more apps are being assembled from a rapidly expanding array of microservices, APIs are the key to accessing these new architectures. That new feature you’re working on will often rely on upstream services that can only be accessed via APIs - so to test the functionality of the new component you’ll need to simulate those services.
While APIs are the backbone of the websites and apps we rely on today, automated testing of them is only starting to grow. Join Patrick Poulin, CEO of API Fortress, as he provides an introduction to API testing, the best ways to test your own APIs using popular tools available today, and demonstrates the orchestration of API tests and Sauce Labs tests as part of a Jenkins build process.
Key takeaways:
-Clearly understand what API testing means.
-Learn about best practices.
-See demonstrations of popular testing tools.
-See API and UI/UX testing implemented as part of a Jenkins build.
Cypress vs Selenium WebDriver: Better, Or Just Different? -- by Gil TayarApplitools
** Full webinar recording: https://youtu.be/D7vxFuwnUio **
Watch Sr. Architect Gil Tayar's special hands-on session, where he explains & demonstrates how Selenium and Cypress differ.
The session covers the following topics:
* How and why do frontend developers write tests
*Selenium architecture
*Cypress architecture
*Live Demo of Cypress - including how to write a Cypress test, and how it’s used
*How Cypress deals with flakiness
*Cypress and backdoors to development
*Visual Testing using Cypress
Katalon Studio is a free and robust automation solution for API, Web, and Mobile testing. It integrates all necessary components with built-in keywords and project templates into a complete automation framework. Katalon Studio is easy to use for beginners but still offers advanced capabilities for experienced users. This solution is trusted by an active community of over 150K users from 150+ countries around the world.
In this knolx, we’ll take a look at what is API Testing and how the katalon studio is helpful in API Testing.
Enterprise software needs to be faster than the competition.
In this presentation we will explore what is performance testing, why it is important and when should you implement these tests.
Software Testing Process, Testing Automation and Software Testing TrendsKMS Technology
This is the slide deck that KMS Technology's experts shared useful information about latest and greatest achievements of software testing field with lecturers of HCMC University of Industry.
Automating End-to-End Business Scenario TestingTechWell
Allstate Insurance had a problem. While thoroughly testing each of their more than thirty business systems, they were still failing to provide good service to their clients, agents, and internal customers. The reason was simple. Implementing end-to-end business processes requires more than just running data through a set of separate systems. While focusing on automating unit, integration, and system testing, they had failed to consider the need for system-to-system integration tests―tests that would verify that their business systems passed data correctly, met interface expectations, and synchronized properly. Monika Mehrotra and Sandra Alequin describe how Allstate, with the assistance of Infosys, supplemented their existing test suites with a set of end-to-end tests that provided deeper test coverage, demonstrating proper system operation from beginning to end. In addition, Allstate implemented a test environment that more closely resembled their production environment, discovering defects that had previously escaped into daily operation. Learn the importance of end-to-end, not just piecemeal testing.
API Testing: The heart of functional testing" with Bj RollisonTEST Huddle
View webinar: http://www.eurostarconferences.com/community/member/webinar-archive/webinar-81-api-testing-the-heart-of-functional-testing
An API, or Application Programming Interface, is a collection of functions that provide much of the functional capabilities in complex software systems. Most customers are accustomed to interacting with a graphical user interface on the computer. But, many customers do not realize the much of the functionality of a program comes from APIs in the operating system or program's dynamic-link libraries (DLL). So, if the business logic or core functionality is exposed via an API call then and if we want to find functional bugs sooner than API testing may be an approach that provides additional value in your overall test strategy. Additionally, API testing can start even before the user interface is complete so functional capabilities can be tested while designers are hashing out the "look and feel." API testing will not replace testing through the user interface, but it can augment your test strategy and provide a solid foundation of automated tests that increase your confidence in the functional quality of your product.
Design patters exist for years in software development. Some developers love them, some think they are useless. But design patters has very clear goals: describe common solutions for common problems, create shared language for community, improve understanding and reuse of existing approaches. Test automation has its own set of problems, so there is a set of helpful design patterns for this area. In this talk I will run through all known patterns and describe them in details with several practical samples.
Effective Software Test Case Design Approach highlights typical wrong approaches to software test case design and focuses on an effective methodology in test case design from a collaborative approach.
Through the use of an example requirement/user story, this presentation highlights the "interactions" between the stakeholders, i.e. Product Owner, Developer, and Test Engineer in the development of user story acceptance criteria, details, test scope, and effective, consistent and valid test cases.
Agile Test Management Using Jira and ZephyrXBOSoft
Do you have traceability where you can efficiently determine the cause of defects if there was an unclear requirement? Are you sure your test cases cover your requirements? Can you easily execute targeted regression when you’ve updated your software’s functionality? Now with software development teams mostly working from home or in dispersed geographies, supporting effective collaboration between remote workers is critical. In this XBOSoft quarterly webinar, our CEO, Philip Lew, teams up with BDQ’s CEO Chris Bland, to discuss the problems with working remotely, integrating the phases of testing in development in an Agile, and how this can be done using Zephyr, one of the predominant plugins in the Atlassian marketplace for test management. In this webinar, you will learn how to:
--Link tests with user stories and group tests within test cycles.
--Tie your results (defects) all the way back to user stories for effective defect root cause analysis.
--Classify defects to analyze and prioritize your test efforts.
--Use the traceability matrix with Zephr for deep visibility into your Agile process.
An Introduction To Automated API TestingSauce Labs
As more and more apps are being assembled from a rapidly expanding array of microservices, APIs are the key to accessing these new architectures. That new feature you’re working on will often rely on upstream services that can only be accessed via APIs - so to test the functionality of the new component you’ll need to simulate those services.
While APIs are the backbone of the websites and apps we rely on today, automated testing of them is only starting to grow. Join Patrick Poulin, CEO of API Fortress, as he provides an introduction to API testing, the best ways to test your own APIs using popular tools available today, and demonstrates the orchestration of API tests and Sauce Labs tests as part of a Jenkins build process.
Key takeaways:
-Clearly understand what API testing means.
-Learn about best practices.
-See demonstrations of popular testing tools.
-See API and UI/UX testing implemented as part of a Jenkins build.
Cypress vs Selenium WebDriver: Better, Or Just Different? -- by Gil TayarApplitools
** Full webinar recording: https://youtu.be/D7vxFuwnUio **
Watch Sr. Architect Gil Tayar's special hands-on session, where he explains & demonstrates how Selenium and Cypress differ.
The session covers the following topics:
* How and why do frontend developers write tests
*Selenium architecture
*Cypress architecture
*Live Demo of Cypress - including how to write a Cypress test, and how it’s used
*How Cypress deals with flakiness
*Cypress and backdoors to development
*Visual Testing using Cypress
Katalon Studio is a free and robust automation solution for API, Web, and Mobile testing. It integrates all necessary components with built-in keywords and project templates into a complete automation framework. Katalon Studio is easy to use for beginners but still offers advanced capabilities for experienced users. This solution is trusted by an active community of over 150K users from 150+ countries around the world.
In this knolx, we’ll take a look at what is API Testing and how the katalon studio is helpful in API Testing.
Enterprise software needs to be faster than the competition.
In this presentation we will explore what is performance testing, why it is important and when should you implement these tests.
Software Testing Process, Testing Automation and Software Testing TrendsKMS Technology
This is the slide deck that KMS Technology's experts shared useful information about latest and greatest achievements of software testing field with lecturers of HCMC University of Industry.
Automating End-to-End Business Scenario TestingTechWell
Allstate Insurance had a problem. While thoroughly testing each of their more than thirty business systems, they were still failing to provide good service to their clients, agents, and internal customers. The reason was simple. Implementing end-to-end business processes requires more than just running data through a set of separate systems. While focusing on automating unit, integration, and system testing, they had failed to consider the need for system-to-system integration tests―tests that would verify that their business systems passed data correctly, met interface expectations, and synchronized properly. Monika Mehrotra and Sandra Alequin describe how Allstate, with the assistance of Infosys, supplemented their existing test suites with a set of end-to-end tests that provided deeper test coverage, demonstrating proper system operation from beginning to end. In addition, Allstate implemented a test environment that more closely resembled their production environment, discovering defects that had previously escaped into daily operation. Learn the importance of end-to-end, not just piecemeal testing.
A Short and Sweet Guide to Test Data DevelopmentEnov8
Database testing and test data development are essential steps in any software testing method because the data evaluates and runs the process. Without adequate testing, the database may quickly become so vast that it slows the entire system. All types of database tests used for test runs have their own set of datasets that can be developed through test data generation.
Agile Testing Days -Trends and future in testing 2017Derk-Jan de Grood
Today I gave a presentation at the Agile Testing Days. The room was packed and we talked about the way the testing profession in evolving.
5 years ago the Dutch Test Association published a book that described the changes in the testing profession. I was one of the 7 authors and we organized a few workshops on the theme. Last may we hosted a retrospective workshop during which the participants evaluated the 2012 predictions. Key question during this workshop was: What is the status of the profession and what skills and role should a tester take in order to add value and a job.
In my 2017 ATD presentation I shared the results that of this workshop. I shared the highlights of the book, told what predictions were correct and which were incorrect. But most of all I will shared the opinion of or fellow testers: What do roles do they have now, and what roles do they expect to have in 5 years from now.
Join this session if you are sometimes worried about the sustainability of your role, if you want to specialize yourself but wonder what specialisms are a safe bet, if you want to stay ahead of the game and be prepared for the future.
Data-Driven Testing: A Comprehensive Approach for High-Quality Software Applications
Introduction to Data-Driven Testing :
Define data-driven testing as an approach that uses data to drive test scripts.
Explain how data-driven testing allows for comprehensive and efficient testing.
Understanding Frameworks in Data-Driven Testing :
Define a framework as a set of guidelines, rules, and best practices for developing software applications.
Highlight the importance of frameworks in developing and executing data-driven test scripts.
Discuss how a good framework can improve efficiency and reduce maintenance effort.
Advantages of Data-Driven Testing :
Increased test coverage: Explain how testing with different data sets improves coverage.
Early defect identification: Discuss how data-driven testing helps identify defects early in the development process.
Reduced maintenance effort: Explain how reusable test scripts and data management modules reduce maintenance work.
Improved efficiency of the testing process: Highlight the efficiency gains achieved through data-driven testing.
Better quality of software application: Explain how comprehensive testing leads to higher software quality.
Creating a Data-Driven Automation Framework :
Define the steps involved in creating a data-driven automation framework.
Discuss each step, including defining test scenarios, identifying data sources, developing test scripts, creating a data management module, and implementing a reporting mechanism.
Emphasize the importance of scalability, reusability, and maintainability in the framework.
Best Practices of Data-Driven Testing :
Identify suitable test scenarios for data-driven testing.
Explain the importance of storing data in separate repositories and using reusable and scalable test scripts.
Discuss the development of a data management module capable of handling various data formats.
Highlight the significance of a robust reporting mechanism for insightful testing process analysis.
Disadvantages of Data-Driven Testing :
Discuss the additional effort required to set up data sources.
Explain how the complexity of test scripts may increase.
Mention the need for additional resources to develop and maintain the data-driven framework.
Conclusion
Summarize the benefits and drawbacks of data-driven testing.
Emphasize its effectiveness in improving software quality.
Encourage organizations to consider data-driven testing for their software applications.
Tools and Technologies for Data-Driven Testing :
Discuss popular tools and technologies used in data-driven testing, such as Selenium, JUnit, TestNG, and Cucumber.
Explain how these tools support data-driven testing through features like parameterization and data source integration.
Highlight the importance of selecting the right tools based on project requirements and technology stack.
In high-quality software development, rigorous testing is critical for preparing products before release. That's where test data management comes in. But what is it exactly? Why do you need to adopt it for your business? The challenges, solutions, and much more are all there in this article. Check it out now!
While the companies are making the use of information oceans and derive profits from the data they store; at the same time they suffer from it. It is obvious that no company can cope with data growth by just increasing their hardware capacity. Companies need to find out smart solutions for this inevitable growth.
When we degrade the subject into testing, we observe that IT organizations are deeply focusing on the collection and organization of data for their testing processes. The ability to control this process and use test data has become the key competitive advantage for these organizations because benefits of such mechanisms will worth against their tradeoffs. Ultimately, test data management plays a vital role in any software development project and unstructured processes may lead organizations to;
•Do inadequate testing (poor quality of product)
•Be unresponsive (increased time-to-market)
•Do redundant operations and rework (increased costs)
•Be non-compliant with regulatory norms (especially on data confidentiality and usage)
No matter which approach you choose to eliminate the challenges of this important subject, test data management; basic requirements for you to be successful are; combination of good test cases and test data, along with the proper usage of tools to help you automating extraction, transformation and governance of the data being used.
Test Veri Yönetimi
Yazılım testlerinin etkinliğini belirleyen en önemli unsurlardan bir tanesi kullanılan test veri setidir. Testlerin dar bir test veri setiyle yapılması:
- test kapsamının düşmesine
- testlerin yanlış sonuçlar vermesine
- canlıda beklenmeyen hataların çıkmasına
neden olmaktadır. Test veri setlerinin optimum seviyede doğru verilerle oluşturulabilmesi için iki kritik başarı faktörü bulunmaktadır.
1-Milyonlarca test verisi içerisinden test kapsamını belli seviyede sağlayak test veri kümesinin oluşturulabilmesi için uluslararası test tekniklerinin kullanılması
- Denklik sınıfı test tekniği (equivalance partitioning test technique)
- Sınır değer test tekniği (boundary value test technique)
- Pairwise test tekniği
- Combinatorial test tekniği
- ….
2- Doğru test veri yönetimi aracının seçilmesi
- Canlı ortamdaki verileri maskeleyerek test verisi oluşturan araçlar
- Girilen veri tiplerine uygun rastgele test verisi yaratan araçlar
Test veri yönetimi ile ilgili daha fazla bilgi almak için:
Test veri yönetimi ile ilgili yaklaşımımızı içeren sunumu görmek için tıklayınız: http://www.slideshare.net/keytorc
Keytorc’un test veri yönetimi konusunda uzman ekibiyle iletişime geçmek için:www.keytorc.com ya da blogs.keytorc.com
Keynote de abertura do evento ALM Practices III, ministrado por Nicole Forsgren, Director of Organizational Performance and Analytics na CHEF e coautora do 2014 State of DevOps Report.
The ultimate objective of a DevOps approach is to deliver quality products to your customers as efficiently as possible. DevOps shops that achieved this state point to continuous testing as a key contributor to their success. However, QA and testing have become forgotten orphans in the DevOps journey of many organizations. For groups that have incorporated testing, many have a release cadence that resembles something more like waterfall. The culprit is often the inability to incorporate stable automation into their testing practices.
In this talk, Lee will discuss how organizations can address these issues, and move towards continuous testing within their DevOps practices. Specifically, the discussion will touch on key practices and methods for implementing effective test automation in a DevOps pipeline including test suite & test scope, automation approach/methods, and test environment and data management.
The school management system being web based can be accessed from anywhere in the world, which enables the students, teachers, parents & the management be in touch with each other at all times.
DevOpsDays Houston 2019 - Lee Barnes - Effective Test Automation in DevOps - ...DevOpsDays Houston
High performing DevOps teams point to effective test automation as a key to their success. This talk delivers key automation practices required to assess the risk of moving their builds through the pipeline - including balancing test scope & risk, test env/data management and continuous improvement
FlorenceAI: Reinventing Data Science at HumanaDatabricks
Humana strives to help the communities we serve and our individual members achieve their best health – no small task in the past year! We had the opportunity to rethink our existing operations and reimagine what a collaborative ML platform for hundreds of data scientists might look like. The primary goal of our ML Platform, named FlorenceAI, is to automate and accelerate the delivery lifecycle of data science solutions at scale. In this presentation, we will walk through an end-to-end example of how to build a model at scale on FlorenceAI and deploy it to production. Tools highlighted include Azure Databricks, MLFlow, AppInsights, and Azure Data Factory.
We will employ slides, notebooks and code snippets covering problem framing and design, initial feature selection, model design and experimentation, and a framework of centralized production code to streamline implementation. Hundreds of data scientists now use our feature store that has tens of thousands of features refreshed in daily and monthly cadences across several years of historical data. We already have dozens of models in production and also daily provide fresh insights for our Enterprise Clinical Operating Model. Each day, billions of rows of data are generated to give us timely information.
We already have examples of teams operating orders of magnitude faster and at a scale not within reach using fixed on-premise resources. Given rapid adoption from a dozen pilot users to over 100 MAU in the first 5 months, we will also share some anecodotes about key early wins created by the platform. We want FlorenceAI to enable Humana’s data scientists to focus their efforts where they add the most value so we can continue to deliver high-quality solutions that remain fresh, relevant and fair in an ever changing world.
Building a mind map for test data management.
Overview
1. Test data source
2. Extract or create data
3. Transform data
4. Provision
5. Target
Source: http://debasishbhadra.blogspot.com/2013/12/create-your-own-mindmap-for-test-data.html
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
4. 50 - 70%
Test data preparation takes a huge amount of effort in testing.
5. 1- What is test data management?
2- What is test data generation?
3- What is available open source test data
management tool?
4- How do you produce test data to test your
environment?
6. Test Data Strategies
● The Elementary Pattern
● Refresh Data Source Pattern
● The Selfish Data Generation Pattern
● Data Generation and Batch Cleanup
7. ● The most common strategy
● Easy to implement
● Not reusable
● Other user and tests can be affect
● Not applicable for long-term
The Elementary Pattern
8. ● The pattern focuses on refreshing
the data source prior to or after you
run a set of test cases.
● Reusable
● Other user and tests can be affect
● Low performance
Refresh Data Source Pattern
9. The Selfish Data Generation Pattern
● It to create unique data each time it
runs
● Other user and tests, not affect
● Data integrity can be challenging
10. Data Generation and Batch Cleanup
● Generate data and batch cleanup at
the end.
● Hard to manage
● ….
● ….
13. Test Data Management Tools
● Informatica
● DATPROF
● CA Test Data Manager (Datamaker)
● Compuware’s
● InfoSphere Optim
● HP
● LISA Solutions for
● Delphix
● Solix EDMS
● Original software
● vTestcenter
● TechArcis
● SAP Test Data Migration Server
● Double