Gunjan  Khaitan

Gunjan Khaitan

1615392917

Performance Testing Tutorial For Beginners | Performance Testing Using Jmeter

This video on Performance Testing will help you learn about Performance Testing. We shall begin with learning the basics of Performance Testing, and then we shall see its relevance. Then we shall see the types of performance testing and different performance testing processes. Moving forth, we shall have a look at the performance testing metrics and several tools that help us perform this testing. Then we will learn about one such tool, i.e., JMeter, and understand why JMeter is the one being used. Finally, we shall understand the working of JMeter for Performance testing with a hands-on demo.

#testing #developer

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Performance Testing Tutorial For Beginners | Performance Testing Using Jmeter
Dejah  Reinger

Dejah Reinger

1599859380

How to Do API Testing?

Nowadays API testing is an integral part of testing. There are a lot of tools like postman, insomnia, etc. There are many articles that ask what is API, What is API testing, but the problem is How to do API testing? What I need to validate.

Note: In this article, I am going to use postman assertions for all the examples since it is the most popular tool. But this article is not intended only for the postman tool.

Let’s directly jump to the topic.

Let’s consider you have an API endpoint example http://dzone.com/getuserDetails/{{username}} when you send the get request to that URL it returns the JSON response.

My API endpoint is http://dzone.com/getuserDetails/{{username}}

The response is in JSON format like below

JSON

{
  "jobTitle": "string",
  "userid": "string",
  "phoneNumber": "string",
  "password": "string",
  "email": "user@example.com",
  "firstName": "string",
  "lastName": "string",
  "userName": "string",
  "country": "string",
  "region": "string",
  "city": "string",
  "department": "string",
  "userType": 0
}

In the JSON we can see there are properties and associated values.

Now, For example, if we need details of the user with the username ‘ganeshhegde’ we need to send a **GET **request to **http://dzone.com/getuserDetails/ganeshhegde **

dzone.com

Now there are two scenarios.

1. Valid Usecase: User is available in the database and it returns user details with status code 200

2. Invalid Usecase: User is Unavailable/Invalid user in this case it returns status with code 404 with not found message.

#tutorial #performance #api #test automation #api testing #testing and qa #application programming interface #testing as a service #testing tutorial #api test

Mikel  Okuneva

Mikel Okuneva

1596793726

Where To Learn Test Programming — July 2020 Edition

What do you do when you have lots of free time on your hands? Why not learn test programming strategies and approaches?

When you’re looking for places to learn test programming, Test Automation University has you covered. From API testing through visual validation, you can hone your skills and learn new approaches on TAU.

We introduced five new TAU courses from April through June, and each of them can help you expand your knowledge, learn a new approach, and improve your craft as a test automation engineer. They are:

These courses add to the other three courses we introduced in January through March 2020:

  • IntelliJ for Test Automation Engineers (3 hrs 41 min)
  • Cucumber with JavaScript (1 hr 22 min)
  • Python Programming (2 hrs)

Each of these courses can give you a new set of skills.

Let’s look at each in a little detail.

Mobile Automation With Appium in JavaScript

Orane Findley teaches Mobile Automation with Appium in JavaScript. Orane walks through all the basics of Appium, starting with what it is and where it runs.

javascript

“Appium is an open-source tool for automating native, web, and hybrid applications on different platforms.”

In the introduction, Orane describes the course parts:

  • Setup and Dependencies — installing Appium and setting up your first project
  • Working with elements by finding them, sending values, clicking, and submitting
  • Creating sessions, changing screen orientations, and taking screenshots
  • Timing, including TimeOuts and Implicit Waits
  • Collecting attributes and data from an element
  • Selecting and using element states
  • Reviewing everything to make it all make sense

The first chapter, broken into five parts, gets your system ready for the rest of the course. You’ll download and install a Java Developer Kit, a stable version of Node.js, Android Studio and Emulator (for a mobile device emulator), Visual Studio Code for an IDE, Appium Server, and a sample Appium Android Package Kit. If you get into trouble, you can use the Test Automation University Slack channel to get help from Orane. Each subchapter contains the links to get to the proper software. Finally, Orane has you customize your configuration for the course project.

Chapter 2 deals with elements and screen interactions for your app. You can find elements on the page, interact with those elements, and scroll the page to make other elements visible. Orane breaks the chapter into three distinct subchapters so you can become competent with each part of finding, scrolling, and interacting with the app. The quiz comes at the end of the third subchapter.

The remaining chapters each deal with specific bullets listed above: sessions and screen capture, timing, element attributes, and using element states. The final summary chapter ensures you have internalized the key takeaways from the course. Each of these chapters includes its quiz.

When you complete this course successfully, you will have both a certificate of completion and the code infrastructure available on your system to start testing mobile apps using Appium.

Selenium WebDriver With Python

Andrew Knight, who blogs as The Automation Panda, teaches the course on Selenium WebDriver with Python. As Andrew points out, Python has become a popular language for test automation. If you don’t know Python at all, he points you to Jess Ingrassellino’s great course, Python for Test Programming, also on Test Automation University.

Se

In the first chapter, Andrew has you write your first test. Not in Python, but Gherkin. If you have never used Gherkin syntax, it helps you structure your tests in pseudocode that you can translate into any language of your choice. Andrew points out that it’s important to write your test steps before you write test code — and Gherkin makes this process straightforward.

first test case

The second chapter goes through setting up a pytest, the test framework Andrew uses. He assumes you already have Python 3.8 installed. Depending on your machine, you may need to do some work (Macs come with Python 2.7.16 installed, which is old and won’t work. Andrew also goes through the pip package manager to install pipenv. He gives you a GitHub link to his test code for the project. And, finally, he creates a test using the Gherkin codes as comments to show you how a test runs in pytest.

In the third chapter, you set up Selenium Webdriver to work with specific browsers, then create your test fixture in the pytest. Andrew reminds you to download the appropriate browser driver for the browser you want to test — for example, chromedriver to drive Chrome and geckodriver to drive Firefox. Once you use pipenv to install Selenium, you begin your test fixture. One thing to remember is to call an explicit quit for your webdriver after a test.

Chapter 4 goes through page objects, and how you abstract page object details to simplify your test structure. Chapter 5 goes through element locator structures and how to use these in Python. And, in Chapter 6, Andrew goes through some common webdriver calls and how to use them in your tests. These first six chapters cover the basics of testing with Python and Selenium.

Now that you have the basics down, the final three chapters review some advanced ideas: testing with multiple browsers, handling race conditions, and running your tests in parallel. This course gives you specific skills around Python and Selenium on top of what you can get from the Python for Test Programming course.

#tutorial #performance #testing #automation #test automation #automated testing #visual testing #visual testing best practices #testing tutorial

Jeromy  Lowe

Jeromy Lowe

1599097440

Data Visualization in R with ggplot2: A Beginner Tutorial

A famous general is thought to have said, “A good sketch is better than a long speech.” That advice may have come from the battlefield, but it’s applicable in lots of other areas — including data science. “Sketching” out our data by visualizing it using ggplot2 in R is more impactful than simply describing the trends we find.

This is why we visualize data. We visualize data because it’s easier to learn from something that we can see rather than read. And thankfully for data analysts and data scientists who use R, there’s a tidyverse package called ggplot2 that makes data visualization a snap!

In this blog post, we’ll learn how to take some data and produce a visualization using R. To work through it, it’s best if you already have an understanding of R programming syntax, but you don’t need to be an expert or have any prior experience working with ggplot2

#data science tutorials #beginner #ggplot2 #r #r tutorial #r tutorials #rstats #tutorial #tutorials

Carmen  Grimes

Carmen Grimes

1595505720

How to Test Mobile App Performance: 3 Key Components - DZone Performance

You’ve probably interacted with an app on your phone or tablet that’s slow, takes a long time to load, freezes, or even crashes on you altogether.

Frustrating, right?

On the flip side, you can probably think of an app that you love to use because from day one, it’s never given you any trouble.

Or maybe you never paid any mind to an app that works quickly, because isn’t that how it’s supposed to be?

So, what causes one app to be crash-prone and another, fast, and reliable?

Whether an app has good or bad performance depends on three factors: the backend, the network, and the app itself running on the device.

A developer or mobile tester can measure the performance of an application in different scenarios.

For example, they can test for when there’s a concurrency of users on the app at the same time, on different devices (which vary in hardware resources and screen sizes), and multiple networks such as 3G, 4G, Wifi, and more.

The reality is that many variables affect the performance of a mobile application. Moreover, a user may have a very bad experience with your app and the cause might not even have anything to do with the code or its implementation.

But, by running performance tests for each of these three factors, you’ll be able to identify problems and optimize your app for the best user experience possible.

Keep reading as we’ll cover the different types of tests for each factor, what to measure, and what tools are available to help you along the way.

1st Mobile Performance Factor: The Backend

A mobile app’s backend architecture is generally based on an application server, a web server, and a database.

**When it comes to the backend, the things related to performance that are important to know when an app is under load are the server’s response times, database queries times, and the server’s resource usage. **

Using this information, it’s easier to detect issues such as:

  • High server response times
  • Bottlenecks or breakpoints in the database and application server resources
  • Poor implementation of escalation policies

So what kind of tests are normally run to check the app’s backend performance? Load tests.

This is when you simulate load on the backend in different ways, whether it be through stress testing, peak testing, endurance testing, load testing, etc.

In general, the objective of these tests is to understand how the backend systems of an app behave and handle a certain volume of concurrent users.

Several tools allow you to load test your mobile app. The most commonly used ones include:

Apache JMeter – the number one open-source load testing tool

Gatling– a developer-friendly, open-source load testing tool with scripts written in Scala

BlazeMeter – a cloud performance testing platform that scales your JMeter or Gatling tests for a greater amount of concurrent users

2nd Mobile Performance Factor: The Network

With regards to the network that the device is connected to, there are two key things to measure: latency and bandwidth.

  • Latency is the time that elapses when information is sent on the network (measured in milliseconds).
  • Bandwidth is the maximum capacity (the amount of data) that can be transmitted through the network (measured in bits per second).

For mobile performance, the lower the latency and the higher the bandwidth, the better.

An app’s performance can vary depending on, for example, whether it’s connected to a 3G network or a 4G network, and unfortunately, this is beyond an app developer or tester’s control.

But, it is possible to incorporate the network during the mobile app performance testing process, simulating the different types of networks and measuring their impact on the response times, both on the server-side and the client-side.

#tutorial #performance #mobile apps #load testing #mobile testing #mobile app performance #client side performance

In-house Tool for Performance Testing

In the software development cycle, testing is one of the important criteria. There are many tools available in this space for testing such as Junit, Jmeter, manual, automation, and many performance testing tools. Some of these tools are third-party tools and have a cost-heavy license for the company to manage. For small start-up companies, these license costs can be unbearable. We analyze a tool to make the process easier and more cost effective.

About the Tool

The tool can have two parts. One part can be making a main interface web page where developers/testers can fill in the details and start testing. The other part can be the onboarding template page, where the team can onboard new applications, templates, and stacks so that it appears on the main interface page.

#performance testing #testing tool #performance test tools #testing