Analytics - The Brain of the Software

An Analogy 

I am not a doctor, nor did I enjoy biology too much in my curriculum as a student.  However, I do know that the body has many organs and each organ plays a vital role in the well being of the individual.

Each organ has to:

• function correctly (movement, senses, core functions, etc.)

• has to perform as per expectations in different conditions the individual may be going through (walking, running, swimming, etc.)

• has to be secure from external parameters (heat, cold, rain, what we eat / drink, etc.)

• has to have a proper user experience (ex: if the human hands had webs like ducks, would we be able to hold a pen correctly to write?

• I would like to think of the brain as the super computer which keeps track of what is going on in the body, if each piece playing its part correctly, or not. And if there is something unexpected going on, then there are mechanisms of giving that feedback internally and externally so that course correction would be possible.

How does this relate to software?

Software is similar in some ways. For any software product to work, the following needs to be done:

Functionality works as expected

• The architecture, testability of the system will allow for various types of testing activities to be performed on the software to ensure everything works as expected
• Test Automation practices will give you quick feedback

There is a plethora of open-source and commercial tools in this space to help in this regard - the most popular open-source tools being Selenium and Appium.

Software is performant

• We can do performance testing at various different levels to ensure at different loads and conditions, the users will be able to use the product in a seamless fashion
• There are many tools to assist in Performance Testing - some popular ones being JMeter and Gatling.

Software is secure

• Building and testing for security is critical as you do not want user information to be leaked or manipulated and neither do you want to allow external forces to control / manipulate your product behaviour and control
• The Test Automation Pyramid hence also includes NFRs

User experience is validated, and consistent

• In the age of CD (Continuous Delivery & Continuous Deployment), you need to ensure your user experience across all your software delivery means (browsers, mobile-browsers, native apps for mobiles and tablets, etc.) is consistent and users do not face the brunt of UI / look-and-feel issues in the software at the cost of new features
• This is a relatively new domain - but there are already many tools to help in this spaces as well - the most popular one (in terms of integration, usage and features) being the AI-powered Applitools

Visual Validation is the new tip of the Test Automation Pyramid!

What is the brain of the software?

The above is all good, and known in various ways. But what is the "brain" of the software? How does one know if everything is working fine or not? Who will receive the feedback and how do we take corrective action on this?

Analytics is that piece in the Software product that functions as the brain. It keeps collecting data about each important piece of software, and provides feedback on the same.

I have come across some extreme examples of Business / Organizations who have all their eggs in one basket - in terms of

• understand their Consumers (engagement / usage / patterns / etc.),
• understand usage of product features, and,
• do all revenue-related book-keeping

This is all done purely on Analytics! Hence, to say “Business runs on Analytics, and it may be OK for some product / user features to not work correctly, but Analytics should always work” - is not a myth!

What this means is Analytics is more important now, than before.

Unfortunately, Analytics is not known much to the Software Dev + Test community. We know it very superficially - and do what is required to implement it and quickly test it out. But what is analytics? Why is it important? What is the impact of this not working well? Not many think about this.

I have been testing Analytics since 2010 ... and the kind of insights I have been able to get about the product have been huge! I have been able to contribute back to the team and help build better quality software as a result.

But I have to be honest - it is painful to test Analytics. And that is why I created an open-source framework - WAAT - to help automate some of this testing activities.

I also do workshops to help people learn more about Analytics, its importance, and how they can automate this as well.

In the workshop, I do not assume anything and approach is to discuss and learn by example and practice, the following

• How does Analytics works (for Web and Mobile)?
• Test Analytics manually in different ways
• Test Analytics via the final reports
• Why some Automation strategies will work, and some WILL NOT WORK (based on my experience)!
• We will see a demo of the Automation running for the same.
• Time permitting, we will setup running some Automation scripts on your machine to validate the same

Takeaways from the workshop

We will learn by practicing the following:

• What is Analytics?
• Techniques to test analytics manually.
• How to automate the validation of analytics, via a demo, and if time permits, run the automation from your machine as well.

Hope this post helps you understand the importance of Analytics and why you need to know more about it. Do reach out to me if you want to learn more about it.

Next upcoming Analytics workshop is in TestBash Australia 2019. Let me know if you would be interested in attending the same

Recording from webinar on The Missing Feedback Loop now available

On 21st Nov, TestCraft.io hosted me in a webinar where I spoke about - "The Missing Feedback Loop - The Tools, Techniques, and Automation to Solve It". 

You can get the recording from here (https://hubs.ly/H0fBDN50).

A blog about my blog

With the risk of this ending up becoming a recursion, I want to share interesting statistics about my blog - essenceoftesting.blogspot.com and content shared on my SlideShare account.

• First blog: Future of Test Automation Tools & Infrastructure, published on 25th Aug 2010
• Number of blogs published: 218, not counting this one
• Number of viewers: 400K+

Here are some charts from Analytics of my SlideShare and blog:

Top content from my SlideShare:

• Agile QA Process - 75K+ views, 2.75K+ downloads
• Career Path of a Tester - 1.4K views, 50 downloads

Blog Overview:

Audience:

Popular posts:

• Career Path of a Tester!
• Introducing MAD LAB - for Mobile Automation
• WAAT - Web Analytics Automation Testing Framework
• Any WAAT (Web Analytics Automation Testing Framework) users out there?
• Taking Protractor to the next level
• Features of my Android Test Automation Framework

Referrers:

Update: Upcoming webinar - The Missing Feedback Loop

Please note that the webinar will be on 21st November. 

Register here (https://hubs.ly/H0fp4by0)

Upcoming webinar - The Missing Feedback Loop

I am very excited to share that I am going to conduct a webinar hosted by testcraft.io on "The Missing Feedback Loop - The Tools, Techniques, and Automation to Solve It". 

You can register for the webinar from here (https://hubs.ly/H0fp4by0).

Date & Time:
Thursday, November 21, 2018 at 02:00 PM New-York (EDT), 11:00 AM San-Francisco (PDT) and 08:00 PM Amsterdam (UTC+2)

Agile Testing, Analytics Testing and Measuring Consumer Quality from Poland and USA

The last few weeks have been very hectic for me. In between my consulting assignments, I traveled to Krakow, Poland for Agile & Automation Days 2018, and then to Arlington, Virginia in USA for STPCon Fall 2018.

In the Agile & Automation Days 2018 conference, I spoke about "Measuring Consumer Quality - The Missing Feedback Loop" and conducted a 1/2 day workshop on "Analytics Rebooted - A Workshop".

In STPCon Fall 2018, I conducted 2 workshops - 1/2 day each - "Practical Agile Testing Workshop" and "Analytics Rebooted - A Workshop" and also spoke about "Measuring Consumer Quality - The Missing Feedback Loop"

Overall, I had a very good trip, amazing conversations and interactions with the attendees and the speakers. I would be lying if I say I am not tired and my throat has gone sore. But, would I do this again? Absolutely! Going to conferences and meeting people, sharing my experiences with them, and learning from their experiences gives me a lot of happiness and satisfaction.

Below are the abstracts of the workshops and the talk. 

Contact me via LinkedIn, or twitter, or my site - essenceoftesting.com if you need any additional information, or if you want help in learning / implementing these or other topics related to Quality / Testing / Automation.

Practical Agile Testing Workshop

Workshop Description:

The Agile Manifesto was published in 2001. It took the software industry a good few years to truly understand what the manifesto means, and the principles behind it. However, choosing and implementing the right set of practices to get the true value from working the Agile way has been the biggest challenge for most!

While Agile is now mainstream, and as we get better at the development practices to “being Agile”, Testing has still been lagging behind in most cases. A lot of teams are still working in the staggered fashion (a.k.a. Iterative waterfall way of working). Here teams may be testing after development completes, or Automation is done in the next Iteration / Sprint, etc.

In this workshop, we will learn and share various principles and practices which teams should adopt to be successful in testing (in-cycle) in Agile projects.

Workshop Agenda:

• What is Agile testing? - Learn what does it mean to Test on Agile Projects
• Effective strategies for Distributed Testing - Learn practices that help bridge the Distributed Testing gap!
• Test Automation in Agile Projects - Why? What? How? - Why is Test Automation important, and how do we implement a good, robust, scalable and maintainable Test Automation framework!
• Build the "right" regression suite using Behavior Driven Testing (BDT) - Behavior Driven Testing (BDT) is an evolved way of thinking about Testing. It helps in identifying the 'correct' scenarios, in form of user journeys, to build a good and effective (manual & automation) regression suite that validates the Business Goals. 

Key learning for participants in this workshop:

• Understand the Agile Testing Manifesto.
• Learn the essential Testing practices and activities essential for teams to adopt to work in Agile way of working.
• Discover techniques to do effective testing in distributed teams.
• Find out how Automation plays a crucial role in Agile projects.
• Learn how to build a good, robust, scalable and maintainable Functional Automation framework.
• Learn, by practice, how to identify the right types of tests to automate as UI functional tests - to get quick and effective feedback.

Analytics Rebooted – A Workshop

Workshop Description:

I have come across some extreme examples of Business / Organizations who have all their eggs in one basket - in terms of # understand their Consumers (engagement / usage / patterns / etc.), # understand usage of product features, and, # do all revenue-related book-keeping

This is all done purely on Analytics! Hence, to say “Business runs on Analytics, and it may be OK for some product / user features to not work correctly, but Analytics should always work” - is not a myth!

What this means is Analytics is more important now, than before.

In this workshop, we will not assume anything. We will discuss and learn by example and practice, the following:

• How does Analytics works (for Web & Mobile)? 
• Test Analytics manually in different ways 
• Test Analytics via the final reports
• Why some Automation strategies will work, and some WILL NOT WORK (based on my experience)!
• We will see demo of the Automation running for the same.
• Time permitting, we will setup running some Automation scripts on your machine to validate the same

Measuring Consumer Quality – The Missing Feedback Loop

Session Description:

How to build a good quality product is not a new topic. Proper usage of methodologies, processes, practices, collaboration techniques can yield amazing results for the team, the organization, and for the end-users of your product.

While there is a lot of emphasis on the processes and practices side, one aspect that is still spoken about “loosely” - is the feedback loop from your end-users to making better decisions.

SO, what is this feedback loop? Is it a myth? How do you measure it? Is there a “magic” formula to understand this data received? How to you add value to your product using this data?

In this interactive session, we will use a case study of a B2C entertainment-domain product (having millions of consumers) as an example to understand and also answer the following questions:

• The importance of knowing your Consumers
• How do you know your product is working well?
• How do you know your Consumers are engaged with your product?
• Can you draw inferences and patterns from the data to reach of point of being able to make predictions on Consumer behavior, before making any code change?

Attendees will have deeper understanding and appreciation of the following:

• What is Consumer Quality and how does it help shape your business!
• Ways to measure Consumer Quality
• Why is understanding Consumer Engagement vital to the success of your product

Conference season here is - talks, workshops, travelling, networking!

September & October 2018 is a busy conference season for me.

On 27th September, I played a game - "Collaboration - A Taboo!" at ATA GTR 2018 with an audience of 100+ people. There was absolute chaos in the game - a lot of it self-inflicted ... and thankfully - exactly was I wanted it to be. So much fun, energy and enthusiasm in the room meant there was no one feeling drowsy in the post lunch session! 

Typically I play this game in 45-min to 1 hour duration. At ATA GTR 2018 though, I had only 30 min to play the game, and add my own twist on top of it. But, never have I ever taken more than the allocated time - and I managed to get the objectives of the game achieved as well in these 30 min.

Below are some pictures from the game.




Then on 28th September, I spoke on "Measuring Consumer Quality - The Missing Feedback Loop" at StepIn's PSTC 2018. Slides from that talk can be found here.

In October, I will be off to Agile & Automation Days in Krakow, Poland. Here I will be speaking about "Measuring Consumer Quality - The Missing Feedback Loop" and also conducting a workshop on - "Analytics Rebooted - A Workshop". See detailed schedule here. 

Then I fly directly to Arlington, VA to participate in STPCon Fall 2018. Here I will be conducting 2 workshops - "Analytics Rebooted - A Workshop" and "Practical Agile Testing Workshop". I am also speaking about "Measuring Consumer Quality - The Missing Feedback Loop".

Will share experiences from these conferences soon!

Interesting reads - Data, Analytics, Security, DevOps, Python

Here is some interesting reading material I came across today - related to Data, Analytics, Security, DevOps and Python

• AI & Analytics in Production  
• Case Studies: Machine Learning
• Putting the Power of Kafka into the Hands of Data Scientists
• Building a Real-Time Bike-Share Data Pipeline with StreamSets, Kafka and MapD
• Real-time data foundations: Kafka - The what, why, and how of Kafka
• A Short Summary of Smoothing Algorithms
• AVA: The Art and Science of Image Discovery at Netflix
• Deploy only what you trust: introducing Binary Authorization for Google Kubernetes Engine
• A Clean Start: Finding Vulnerabilities in your Docker Base Images
• The Best User Behavior Analytics for Your Web or Mobile Product
• Mozilla identifies 10 open source personas: What you need to know
• 18 Python programming books for beginners and veterans
• Making the Adobe Cloud More Resilient — with Chaos
• 6 Patterns for Continuous Delivery with Serverless Applications
• How Kubernetes Is Transforming into a Universal Scheduler
• InSpec: Auditing and Testing Framework
• ChaoSlingr: Introducing Security into Chaos Testing
• Retire.js - What you require you must also retire

Happy Reading to you!

Measuring Consumer Quality - The Missing Feedback Loop

I spoke in vodQA at ThoughtWorks, Pune on "Measuring Consumer Quality - the Missing Feedback Loop". 

This talk address the why and how from my earlier blog post on "Understanding, Measuring and Building Consumer Quality". I recommend you read that first, before going through the slides and video for this talk.

Abstract:

How to build a good quality product is not a new topic. Proper usage of methodologies, processes, practices, collaboration techniques can yield amazing results for the team, the organisation, and for the end-users of your product.

While there is a lot of emphasis on the processes and practices side, one aspect that is still spoken about "loosely" - is the feedback loop from your end-users to making better decisions.

SO, What is this feedback loop? Is it a myth? How do you measure it? Is there a "magic" formula to understand this data received? How to you add value to your product using this data?

In this interactive session, we will use a case study of a B2C entertainment-domain product (having millions of consumers) as an example to understand and also answer the following questions:

• The importance of knowing your Consumers 
• How do you know your product is working well? 
• How do you know your Consumers are engaged with your product? 
• Can you draw inferences and patterns from the data to reach of point of being able to make predictions on Consumer behaviour, before making any code change? 

Video:

Slides can be found here.

Pictures:

MAD-LAB - Capabilities & Features - Agile India 2018

I spoke about "Build your own MAD-LAB - for Mobile Test Automation for CD" at Agile India 2018.

Though I have spoken on this similar topic answering the question - "Why I needed to build my own MAD-LAB?" before at vodQA in July 2017 at Vuclip, quite a few things have changed since then.

Knowing the value of "being agile", a day before my scheduled talk in Agile India 2018, I decided to revamp the content substantially. To add to my challenges, (and thanks to "testing" my slides before the talk in the conference room), I also realised the slide size format I was using is incorrect, and also the projector was not "setup / configured" correctly, making all my slide colours go haywire.

So after last 10 minutes of scrambling before the talk time, I managed to get this done correctly (at least that is what I think now in hindsight.

Moral of the above story - do a test / dry-run of your slides before your audience comes in!

That said, here is the abstract of the talk.

Abstract

In this age of a variety of cloud-based-services for virtual Mobile Test Labs, building a real-(mobile)-device lab for Test Automation is NOT a common thing – it is difficult, high maintenance, expensive! Yet, I had to do it! 

The slides are part of the discussion on the Why, What and How I built my own MAD-LAB (Mobile Automation Devices LAB). The discussion also includes the Automation Strategy, Tech Stack, Capabilities & Features of MAD-LAB and the learnings from successful & failed experiments in the journey. 

Slides

Below are the slides from my talk. The link to the video will be shared once available.

MAD-LAB - Capabilities And Features from Anand Bagmar

Some pictures

Understanding, Measuring and Building Consumer Quality

It has been a long time since I posted anything on my blog. For those who don't know, I am working in Vuclip, a B2C company in the OTT space, where we have millions of consumers using our product via Android and iOS native apps, and the Browser too.

In the past few months, I have been in deep water taking on a new and very exciting initiative. Before I share what that is - here is a traditional approach to Quality.


Typically practices, processes, tools are chosen and implemented to help build a good Quality Product for the end-user. Evolving from Waterfall methodology to Agile methodology has been challenging for many (organizations and individuals), but has proven to be a huge step forward to achieving the goal of building a good and usable product.

In this course of time, we have (thankfully) changed the thought process of considering QA to be the "gate-keeper of Quality" to QA being a "Quality Advocate and Quality Enabler" for the team and the product. A very important change as a result has been changing the focus of QA from "finding defects" to "preventing defects".

And rightly so! After-all, why should the QA be the gate-keeper and -

• take the responsibility and blame of someone giving poor / incomplete requirements? or,
• someone writing bad code during development?

The QA is not a scavenger meant to clean up mess created by others. The QA instead is an enabler who -

• helps bring all stakeholders together through the life-cycle of the product - from conceptualization to end-delivery, 
• asks a lot of questions to find gaps, clarify assumptions, etc.
• helps find and radiate information including risks, and,
• is an active part of doing whatever it takes to prevent defects coming into the system

The Agile practices help do this in a collaborative way, getting features to completion in an incremental fashion, and iterating / pivoting based on the feedback received. This is also what practices related to Continuous Delivery enables us to do well.

But this is nothing new, at least for me. After all, during my fantastic journey at ThoughtWorks, I would say that these were basic tenets of why and how we worked.

That said, my eye-opener in the past few months has been to take this thought process many steps forward.

My agenda has been - how can I help influence and raise the bar of quality in such a way that we not only build a quality product, but also be in a position to predict how our millions of consumers will be able to use it.

This initiative we are calling as Consumer Quality -

• how do we understand Quality (= value) of the product as perceived by our Consumers, 
• what data can be relevant to understand this, how can we be proactive about looking at this data while building a quality product, and,
• the Nirvana stage - how can we predict what actions taken will have desired impact on Consumer Quality!

I hope to be able to share with you more of this in 2018!

Happy New Year everyone! Keep Learning, Keep Sharing!

Analytics - the forgotten child!

After a long time, I spoke about What, Why and How of Analytics Testing at Selenium Conference, Berlin 2017.

This talk was initially supposed to be focussed on Web Analytics only, with impact on / of IoT (Internet of Things) and Big Data, but my recent experiences made me realise, the learnings could easily be applied to Analytics from Mobile native apps as well.

So against better judgement, a full 30 minutes before I was supposed to go on stage, I started a revamp of the slides to include more content, which also meant a complete change of flow of the talk / slides. Talk about making stupid decisions, but thankfully, it turned out pretty ok!!

Abstract of the talk:

What is Web Analytics and why is it important? We'll walk through techniques for manually testing your data and automating the validation process.

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 well-known buzz words in the software industry! With a creative mindset looking for opportunities to add value, the possibilities for IoT are infinite. With each such opportunity, there's a huge volume of data being generated which, if analysed 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. What are the patterns in the data? - 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 and find out new product and value opportunities based on these.

Video from the talk:

Slides from the talk:

The What, Why and How of Analytics Testing from Anand Bagmar

Introducing MAD LAB - for Mobile Automation

The past few months I have been heads-down in stabilising my Real-Device Mobile Test Lab - which we now call MAD LAB (Mobile Automation Devices LAB) .

For those who may not recollect, see my past posts for reference -

• A new beginning - entertainment on mobile

• How to enable seamless running of appium tests on developer machines?

• Features of my Android Test Automation Framework

• How to upgrade the appium-uiautomator2-driver version for appium 1.6.3?

• Finding my way out of bottomless pit with Appium & Android 7.0 for parallel test runs

• Sharing implementation of cucumber-jvm - Appium test framework

Along with my colleagues, we have put in lot of effort in setting up MAD LAB and have now added a lot of rich features to help running tests, seeing the results and making sense out of them easier. 

• All infrastructure management is implemented now in groovy (instead of gradle as shared earlier).

• All automatic test execution is managed via Jenkins file

• Actual test implementation is done in cucumber-jvm / java

List of features currently implemented:

• Device management (selection, cleanup, app install and uninstall)

• Parallel test execution (at Cucumber scenario level) - maximising device utilisation)

• Appium server management

• Adb utilities 

• Managing periodic ADB server disconnects

• Custom reporting using cucumber-reports

• Video recording of each scenario and embedding in the custom reports

Contents of MAD LAB:

• 1 Mac Minis - running various Jenkins Agents

• 2 Powered USB hubs

• 8 Android devices

Here are some pictures from the setup.

There are many more features, in various stages of implementation, being added to make MAD LAB more powerful.

Sneak peek into whats coming:

• Analytics Testing

• Trend and Failure Analysis 

• iOS

• Web

• A transformed MAD LAB

Finding MAD LAB interesting? Some very interesting changes are coming in soon. Watch out for my next blog post for that. 

Want to contribute and be part of this journey? Even better! Reach out to me!

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