prohuddle-utPLSQL v3 - Ultimate unit testing framework for OracleJacek Gebal
Fundamentals of Unit Testing and TDD as a practice and presentation of core features available with utPLSQL v3.
Unit testing for Oracle Databases and PLSQL programming language.
A compare and contrast of Continuous Integration testing tools that can be used for Perl projects and where they all fall short. Also looking at what an ideal solution could look like.
prohuddle-utPLSQL v3 - Ultimate unit testing framework for OracleJacek Gebal
Fundamentals of Unit Testing and TDD as a practice and presentation of core features available with utPLSQL v3.
Unit testing for Oracle Databases and PLSQL programming language.
A compare and contrast of Continuous Integration testing tools that can be used for Perl projects and where they all fall short. Also looking at what an ideal solution could look like.
utPLSQL offers a unit testing API for PL/SQL that is modeled on the xUnit approach. This is an old slide deck on utPLSQL so my apologies for any inconsistencies with the current utility. Note: while I created the original utPLSQL code base, I am not actively working on utPLSQL at this time. Check out github.com/utplsql for the code and project details.
How to test-drive your Qt QML code. Overview on how you do simple testing, UI level testing, synchronous testing, data-driven testing.
These are the slides used on the Tampere MeeGo meetup on March 15, 2011 and text may not be super clear for those who didn't attend the meetup. You can still download the example and examine it.
Automated php unit testing in drupal 8Jay Friendly
An overview of PHPUnit Automated testing in Drupal 8, including a comparison of manual testing vs automated testing, the pros and cons of automated testing, and the types of automated tests available in Drupal 8.
Joomla As the Joomla team creates a better and better CMS, lots of us sit with outdated websites that are not supported anymore, or will not be supported in the near future. Developers normally take two routes to solve this. One is to put up a whole new website in a newer version of Joomla and copy and paste articles over, and the other one is to migrate the data. In some cases, the previous articles are simply forgotten, and a new website is started from scratch with no content at all.
Since migration looks like such a daunting task, most people avoid it. Migration becomes quite tricky if you have used lots of third party extensions, but if you have a website with 10 000 URL's it's much more viable than copy and paste. This talk will look at how to approach a migration properly, and how to complete it successfully, without hurting current Search Engine Rankings and hardly any downtime.
Presenter
Paul van Jaarsveld - Kalemanzi Media Solutions (ZA)
Unit Testing your React / Redux app (@BucharestJS)Alin Pandichi
React and Redux took the world by storm. These JavaScript libraries allow you to write applications consisting of reusable components while avoiding bugs related to side-effects. But I suspect that developers do not unit test their React/Redux code. Or at least not as much as they could. During this talk, I will showcase the unit tests we have written for our eventriX product. These tests run fast and cover the most important aspects of our client-side code running in the browser. These practical real-world examples could inspire you to write more and better unit tests for your own React/Redux application.
This workshop is about testing the right way. Get a clear view on how to test your code in an efficient and useful way!
This first testing-related workshop is about all aspects of unit testing. Integration testing and TDD will have their own dedicated workshops.
How to test-drive your Qt QML code. Overview on how you do simple testing, UI level testing, synchronous testing, data-driven testing.
These are the slides used in the Helsinki MeeGo meetup in 2012.
utPLSQL offers a unit testing API for PL/SQL that is modeled on the xUnit approach. This is an old slide deck on utPLSQL so my apologies for any inconsistencies with the current utility. Note: while I created the original utPLSQL code base, I am not actively working on utPLSQL at this time. Check out github.com/utplsql for the code and project details.
How to test-drive your Qt QML code. Overview on how you do simple testing, UI level testing, synchronous testing, data-driven testing.
These are the slides used on the Tampere MeeGo meetup on March 15, 2011 and text may not be super clear for those who didn't attend the meetup. You can still download the example and examine it.
Automated php unit testing in drupal 8Jay Friendly
An overview of PHPUnit Automated testing in Drupal 8, including a comparison of manual testing vs automated testing, the pros and cons of automated testing, and the types of automated tests available in Drupal 8.
Joomla As the Joomla team creates a better and better CMS, lots of us sit with outdated websites that are not supported anymore, or will not be supported in the near future. Developers normally take two routes to solve this. One is to put up a whole new website in a newer version of Joomla and copy and paste articles over, and the other one is to migrate the data. In some cases, the previous articles are simply forgotten, and a new website is started from scratch with no content at all.
Since migration looks like such a daunting task, most people avoid it. Migration becomes quite tricky if you have used lots of third party extensions, but if you have a website with 10 000 URL's it's much more viable than copy and paste. This talk will look at how to approach a migration properly, and how to complete it successfully, without hurting current Search Engine Rankings and hardly any downtime.
Presenter
Paul van Jaarsveld - Kalemanzi Media Solutions (ZA)
Unit Testing your React / Redux app (@BucharestJS)Alin Pandichi
React and Redux took the world by storm. These JavaScript libraries allow you to write applications consisting of reusable components while avoiding bugs related to side-effects. But I suspect that developers do not unit test their React/Redux code. Or at least not as much as they could. During this talk, I will showcase the unit tests we have written for our eventriX product. These tests run fast and cover the most important aspects of our client-side code running in the browser. These practical real-world examples could inspire you to write more and better unit tests for your own React/Redux application.
This workshop is about testing the right way. Get a clear view on how to test your code in an efficient and useful way!
This first testing-related workshop is about all aspects of unit testing. Integration testing and TDD will have their own dedicated workshops.
How to test-drive your Qt QML code. Overview on how you do simple testing, UI level testing, synchronous testing, data-driven testing.
These are the slides used in the Helsinki MeeGo meetup in 2012.
Developer Tests - Things to Know (Vilnius JUG)vilniusjug
There are many great talks that discuss challenges developers face when writing software tests. In this talk let's look at test design problems that may seem to be simple but yet fundamentally important and often misunderstood even by experienced programmers.
Slides for my talk at General Assembly's Web Dev bootcamp. Covers the motivations behind software testing, some theoretical background and hands-on exercises. Final challenge is testing a real-world like Node.js API using Mocha & Chai.
Validating Big Data Pipelines - Big Data Spain 2018Holden Karau
As big data jobs move from the proof-of-concept phase into powering real production services, we have to start considering what will happen when everything eventually goes wrong (such as recommending inappropriate products or other decisions taken on bad data). This talk will attempt to convince you that we will all eventually get aboard the failboat (especially with ~40% of respondents automatically deploying their Spark jobs results to production), and it’s important to automatically recognize when things have gone wrong so we can stop deployment before we have to update our resumes.
Validating Big Data Jobs—Stopping Failures Before Production on Apache Spark...Databricks
As big data jobs move from the proof-of-concept phase into powering real production services, we have to start consider what will happen when everything eventually goes wrong (such as recommending inappropriate products or other decisions taken on bad data). This talk will attempt to convince you that we will all eventually get aboard the failboat (especially with ~40% of respondents automatically deploying their Spark jobs results to production), and its important to automatically recognize when things have gone wrong so we can stop deployment before we have to update our resumes.
Figuring out when things have gone terribly wrong is trickier than it first appears, since we want to catch the errors before our users notice them (or failing that before CNN notices them). We will explore general techniques for validation, look at responses from people validating big data jobs in production environments, and libraries that can assist us in writing relative validation rules based on historical data.
For folks working in streaming, we will talk about the unique challenges of attempting to validate in a real-time system, and what we can do besides keeping an up-to-date resume on file for when things go wrong. To keep the talk interesting real-world examples (with company names removed) will be presented, as well as several creative-common licensed cat pictures and an adorable panda GIF.
If you’ve seen Holden’s previous testing Spark talks this can be viewed as a deep dive on the second half focused around what else we need to do besides good testing practices to create production quality pipelines. If you haven’t seen the testing talks watch those on YouTube after you come see this one
Validating big data jobs - Spark AI Summit EUHolden Karau
As big data jobs move from the proof-of-concept phase into powering real production services, we have to start consider what will happen when everything eventually goes wrong (such as recommending inappropriate products or other decisions taken on bad data). This talk will attempt to convince you that we will all eventually get aboard the failboat (especially with ~40% of respondents automatically deploying their Spark jobs results to production), and its important to automatically recognize when things have gone wrong so we can stop deployment before we have to update our resumes.
Figuring out when things have gone terribly wrong is trickier than it first appears, since we want to catch the errors before our users notice them (or failing that before CNN notices them). We will explore general techniques for validation, look at responses from people validating big data jobs in production environments, and libraries that can assist us in writing relative validation rules based on historical data.
For folks working in streaming, we will talk about the unique challenges of attempting to validate in a real-time system, and what we can do besides keeping an up-to-date resume on file for when things go wrong. To keep the talk interesting real-world examples (with company names removed) will be presented, as well as several creative-common licensed cat pictures and an adorable panda GIF.
If you’ve seen Holden’s previous testing Spark talks this can be viewed as a deep dive on the second half focused around what else we need to do besides good testing practices to create production quality pipelines. If you haven’t seen the testing talks watch those on YouTube after you come see this one
In Green Custard's 8th Friday talk, Filipe explores the subject of GraphQL.
Topics covered:
- What is GraphQL?
- What is it trying to solve?
- How does it work
- Introspection
- Problems
- Future
Green Custard is a custom software development consultancy. To discover more about their work and the team visit www.green-custard.com.
Test and Behaviour Driven Development (TDD/BDD)Lars Thorup
In this introduction to Test Driven Development (TDD) or Behaviour Driven Development (BDD) we give a high level description of what it is and why it is useful for developers. Then we go into some details on stubs and mocks, test data, UI testing, SQL testing, JavaScript testing, web services testing and how to start doing TDD/BDD on an existing code base.
Collaborating with Developers: How-to Guide for Test Engineers - By Gil Tayar Applitools
* Full webinar recording here: https://youtu.be/0NT_fmXwz1k **
"I will give a recipe that you can follow to ease your fear of the unknown: writing tests for developer code.
At the end of this session, I guarantee that you will gain a deeper understanding of different kinds of tests, know how to decipher developer terminology, and learn how to write unit, integration, browser, and E2E tests." -- Gil Tayar. Sr. Architect & Evangelist
Testing is shifting left, moving closer to testing the code itself. But while managers dictate a shift to the left, developers and testers are confused as to how exactly to test the code.
And while the backend world has established code-testing methodologies, we are still trying to figure out how to test frontend code, while ensuring effective testing procedures and processes.
This means testers need to step in and work with the frontend developers, but with an understanding of the frameworks by which frontend code is tested, the various kinds of testing that can be performed on frontend code, and which tools can be used for this.
In this hands-on session, Gil Tayar discusses various test methodologies, and how they fit together in a coherent way. Gil also includes sample code that you can use as a template in your own project -- all in order to provide you with the knowledge and tools to approach and test developer code.
How to establish ways of working that allows shifting-left of the automation ...Max Barrass
Why Automate?
Your application will grow, you will not have enough hands
You are blocked by development
Hidden factory costs of bug-fix cycle
Why Shift-Left?
More people to negate massive inspections
Define measurable success early, work on good parts.
Reduce occurrence of defects
What is this got to do with Ways of working?
Unlock capacity
Make people smile
Is not
a Department
extra cost
a final oversight or a massive inspection
someone else’s job
Is
Everyone’s responsibility
Build into the ways of working
Everyone’s job
Similar to POUG Meetup 1st MArch 2019 - utPLSQL v3 - Testing Framework for PL/SQL (20)
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
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TOP 10 B TECH COLLEGES IN JAIPUR 2024.pptxnikitacareer3
Looking for the best engineering colleges in Jaipur for 2024?
Check out our list of the top 10 B.Tech colleges to help you make the right choice for your future career!
1) MNIT
2) MANIPAL UNIV
3) LNMIIT
4) NIMS UNIV
5) JECRC
6) VIVEKANANDA GLOBAL UNIV
7) BIT JAIPUR
8) APEX UNIV
9) AMITY UNIV.
10) JNU
TO KNOW MORE ABOUT COLLEGES, FEES AND PLACEMENT, WATCH THE FULL VIDEO GIVEN BELOW ON "TOP 10 B TECH COLLEGES IN JAIPUR"
https://www.youtube.com/watch?v=vSNje0MBh7g
VISIT CAREER MANTRA PORTAL TO KNOW MORE ABOUT COLLEGES/UNIVERSITITES in Jaipur:
https://careermantra.net/colleges/3378/Jaipur/b-tech
Get all the information you need to plan your next steps in your medical career with Career Mantra!
https://careermantra.net/
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
2. About me
● Software engineer since ~2000 - mainly Oracle database
● Infected with testing and automation since ~2013
● Key contributor, author and maintainer of utPLSQL v3
● Active developer, learner, testing advocate
5. ● Check that software “works”
Why do we test?
● Find bugs
● Prove that solution meets requirements and expectations
● Prove that change didn’t break existing functionality
● Document requirements and reveal intention
6. Automatic test generators
● Find bugs
● Check that software “works”
● Prove that solution meets requirements and
expectations
● Prove that change didn’t break existing
functionality
● Document requirements and reveal intention
● Created from the code
● Created for the code
● Confirm that code “does stuff”
● No confidence that code
“does the right thing”
● No reference to requirements
7. ● Behavior
○ Logic
○ in / out structures
○ State (?)
● Avoid
○ under / over testing
○ unstable tests
○ slow tests
○ testing code you don’t own
What to
test?
8. ● Test early (TDD)
● Test often
● Test automatically (CI/CD)
When to
test?
https://www.google.com/search?q=test+early...
9. Properties of Unit Tests
● Fast
● Isolated
● Repeatable
● Self-verifying (obvious)
● Thorough & Timely
https://github.com/ghsukumar/.../F.I.R.S.T-Principles-of...
https://pragprog.com/magazines/2012-01/unit-tests-are-first
How to
test?
10. Test Driven Development
● write a test
● see it fail
● keep it simple
● tests are examples
● tests become
documentation
● get to green fast
● take baby steps
● stuck?
undo and start over
● write only enough
code to pass the test
● remove duplication
(in code and tests)
● rename and clean up
● run tests and stay green
● change implementation,
not behavior
● improve structure
in small steps
RED GREEN
REFACTOR
With TDD you get:
● Fast feedback loop
● Visible & iterative progress
● Code is tested before it exists
● Feeling of accomplishment
with every new test
12. function - Create room
● Creates a room with given name and returns it’s id
● Throws exception when room name is null
● Throws exception when room exists
13. Remove room by name
● Removes room that has no content
● Throws exception when room is not empty,
keeps the room and it’s content
● Throws exception when room does not exist
● Throws exception when null room name given
14. Add room content
● Fails when room does not exist
● Fails when content name is null
● Adds content to existing room
15. ● free & open source
● self tested & compatible with Oracle 11gR2+
● IDE independent
● pure PL/SQL
● tests described only by annotations & expectations
● implements best testing patterns
● easy to Version Control
● transportable
● automatic transaction - no rollback/cleanup needed
● data type - aware comparison (expectations)
Why utPLSQL v3 ?