Patterns in Test Automation Framework at STPCon

I spoke about Patterns of a "good" Test Automation Framework at STPCon 2017. Here are the details from the talk.

Abstract

Building a Test Automation Framework is easy – there are so many resources / guides / blogs / etc. available to help you get started and help solve the issues you get along the journey.

However, building a “good” Test Automation Framework is not very easy. There are a lot of principles and practices you need to use, in the right context, with a good set of skills required to make the Test Automation Framework maintainable, scalable and reusable.

Design Patterns play a big role in helping achieve this goal of building a good and robust framework.

In this talk, we will talk about, and see examples of various types of patterns you can use for:

• Build your Test Automation Framework
• Test Data Management

Using these patterns you will be able to build a good framework, that will help keep your tests running fast, and reliably in your CI / CD setup!

Session Takeaways:

• Patterns for building Test Automation Framework.
• Patterns for Test Data Management, with pros and cons of each.

Slides

Patterns of a “good” test automation framework from Anand Bagmar

Pictures

Workshop - Client-Side Performance Testing at STPCon 2017

I conducted a 4-hour workshop on Client-Side Performance Testing at STPCon 2017 on 15th March 2017.

Workshop Abstract

In this workshop, we will see the different dimensions of Performance Testing and Performance Engineering, and focus on Client-side Performance Testing.

Before we get to doing some Client-side Performance Testing activities, we will first understand how to look at client-side performance, and putting that in the context of the product under test. We will see, using a case study, the impact of caching on performance, the good & the bad! We will then experiment with some tools like WebPageTest and Page Speed to understand how to measure client-side performance.

Lastly – just understanding the performance of the product is not sufficient. We will look at how to automate the testing for this activity – using WebPageTest (private instance setup), and experiment with yslow – as a low-cost, programmatic alternative to WebPageTest.

We will also look at the different dimensions of Client-side Performance Testing for native mobile applications.

PS: This workshop will be a combination of presentation and hands-on-activity with lots of discussion throughout. You should bring your laptop with you.

Workshop Takeaways:

• Understand difference between is Performance Testing and Performance Engineering.
• Hand’s on experience of some open-source tools to monitor, measure and automate Client-side Performance Testing.
• Examples / code walk-through of some ways to automate Client-side Performance Testing.

Slides

Client-Side Performance Testing from Anand Bagmar

Some pictures from the workshop 

(Thanks Mike Lyles, Curtis Stuehrenberg for the pictures)

Analytics Testing

I recently spoke in an Agile Testing Conference on - The What, Why and How of (Web) Analytics Testing.

I was also part of a panel discussion having the theme - "What's not changed since moving to Agile Testing - The Legacy Continues!" There were some very interesting perspectives in this discussion.

The great part was that the audience was very involved and vocal throughout the day. This made is very interactive and good sharing of information and experiences for all!

Below is some information about the talk. I will try to add the link to the video soon.
 

Abstract

Analytics is changing the way products and services are being created and consumed.

In this session, we will learn

• What is Analytics?
• Why is it important to use Analytics in your product?
• The impact of Analytics not working as expected

We will also see some techniques to test Analytics manually and also automate that validation. But just knowing about Analytics is not sufficient for business now.

There are new kids in town - IoT and Big Data - two of the most used and heard-off buzz words in the Software Industry!

With IoT, with a creative mindset looking for opportunities and ways to add value, the possibilities are infinite. With each such opportunity, there is a huge volume of data being generated - which if analyzed and used correctly, can feed into creating more opportunities and increased value propositions.

There are 2 types of analysis that one needs to think about.

1. How is the end-user interacting with the product? This will give some level of understanding into how to re-position and focus on the true value add features for the product.

2. With the huge volume of data being generated by the end-user interactions, and the data being captured by all devices in the food-chain of the offering, it is important to identify patterns from what has happened, and find out new product / value opportunities based on usage patterns.

Slides

The What, Why and How of (Web) Analytics Testing (Web, IoT, Big Data) from Anand Bagmar

Pictures