Kalilur Rahman

Impacts of DevOps on Testing
DevOps.com
August 21, 2015

DevOps testing needs to address the need of Business and Technology needs. Automation plays a major role to achieve this aim. DevOps in principle has a goal for better product quality albeit the need for faster delivery. Terms such as “Shift-Left”, “Fail-First, Fail-Fast, Fail-Often” will be regular vocabulary in DevOps. DevOps Test team comprises of Cross Functional Specialists and Testing Purists. A Performing Testing Practice for DevOps will take some time. Testing as a practice has matured over the past two decades and is well equipped to support DevOps. Use of automation and productivity enhancement tools helps testing move faster.

Successful DevOps implementation in large firms with legacy processes and technology is a challenge. A big culture change is the only way to achieve success in such firms. It will be a hybrid DevOps Model as purist implementation will be a challenge.

Impact of the Digital Revolution in the Communications Industry on Testing Mobile and Web Applications over the Cloud
Testing Experience Magazine
June 01, 2014

Impact of the Digital Revolution in the Communications Industry on Testing Mobile and Web Applications over the Cloud -Article on Impact of the Digital Revolution in the Communications Industry and Approach for Testing Mobile and Web Applications over the Cloud

Test Data Masking and Tool Pilot Experiences
Eurostar Testing Conference Blog
October 08, 2013

Test Data Masking and Tool Pilot Experiences using a data masking tool for preparation of test data.

Test Data Management – Security Compliance whilst performing production Data Extraction / Data Anonymisation using Tools
Eurostar Conferences - Europe's largest Testing Community Event)
September 26, 2013

Test Data Management – Security Compliance whilst performing production Data Extraction / Data Anonymisation using Tools - An Article about Test Data Anonymisation and protection of client data and methods

Model Based Testing for Communications Industry
Testing Experience Magazine
March 01, 2012

Brief introduction to Model Based Testing and its practical uses for Telecommunications industry - especially for eTOM (enhanced Telecom Operations Map) based Models

Python Data Visualization Essentials Guide
BPB Publications
July 29, 2021

Build your data science skills. Start data visualization Using Python. Right away. Become a good data analyst by creating quality data visualizations using Python.

Key Features
● Exciting coverage on loads of Python libraries, including Matplotlib, Seaborn, Pandas, and Plotly.
● Tons of examples, illustrations, and use-cases to demonstrate visual storytelling of varied datasets.
● Covers a strong fundamental understanding of exploratory data analysis (EDA), statistical modeling, and data mining.

Description
Data visualization plays a major role in solving data science challenges with various capabilities it offers. This book aims to equip you with a sound knowledge of Python in conjunction with the concepts you need to master to succeed as a data visualization expert.

The book starts with a brief introduction to the world of data visualization and talks about why it is important, the history of visualization, and the capabilities it offers. You will learn how to do simple Python-based visualization with examples with progressive complexity of key features. The book starts with Matplotlib and explores the power of data visualization with over 50 examples. It then explores the power of data visualization using one of the popular exploratory data analysis-oriented libraries, Pandas.

The book talks about statistically inclined data visualization libraries such as Seaborn. The book also teaches how we can leverage bokeh and Plotly for interactive data visualization. Each chapter is enriched and loaded with 30+ examples that will guide you in learning everything about data visualization and storytelling of mixed datasets.

What you will learn
● Learn to work with popular Python libraries and frameworks, including Seaborn, Bokeh, and Plotly.
● Practice your data visualization understanding across numerous datasets and real examples.
● Learn to visualize geospatial and time-series datasets.
● Perform correlation and EDA analysis using Pandas and Matplotlib.

Who this book is for
This book is for all data analytics professionals, data scientists, and data mining hobbyists who want to be strong data visualizers by learning all the popular Python data visualization libraries. Prior working knowledge of Python is assumed.

Table of Contents
1. Introduction to Data Visualization
2. Why Data Visualization
3. Various Data Visualization Elements and Tools
4. Using Matplotlib with Python
5. Using NumPy and Pandas for Plotting
6. Using Seaborn for Visualization
7. Using Bokeh with Python
8. Using Plotly, Folium, and Other Tools for Data Visualization
9. Hands-on Examples and Exercises, Case Studies, and Further Resources

Science Of Selenium
BPB Publications
December 10, 2019

Step-by-step guide to understand key concepts for Selenium Automation using examples to shine in your interview for test automation roles Key Features ● Acquire Selenium skills to do independent test automation projects ● Learn the basics of Selenium Web Driver for test automation using Selenium ● Understand Page Object Model, including how and when they're used in test automation ● Understand the approach for building a test automation framework ● Build Selenium test automation scripts using various languages – Java, Python, JavaScript/Node JS and Ruby ● Learn how to report and integrate with CI tools for test automation ● Get some professional tips for handing interviews and test automation approach ● Implement cross-browser testing scenarios using Selenium Grid and commercial tools and services Description The book starts with a brief introduction to the world of automation and why it is important, succinctly covering the history of Selenium and the capabilities it offers. In this book, you will learn how to do simple Selenium-based automation with examples and understand the progressive complexity of some key features. Before diving deep into advanced concepts such as Page Object Models, Test Automation Framework and Cross Browser testing, you will grasp comprehensive knowledge of several concepts related to Java, Python, JavaScript and Ruby programming languages. Table of Contents 1. Introduction to Test Automation 2. Introduction to Selenium 3. Understanding Selenium Architecture 4. Understanding Selenium Tools 5. Understanding Web UI 6. Web UI Automation with Selenium Using Java & Python 7. Selenium Coding with Other Languages – Ruby & JavaScript 8. Building a Test Automation Framework with Selenium 9. Advanced Features of Selenium Using Java & Python 10. Cross-Browser Test Automation 11. Tips and Tricks for Test Automation 12. Interview Tips

Innovations in Testing
Amazon Kindle Direct
December 25, 2017

"A Journey of a thousand miles begins with a single step" - I've taken off a key items in my to-do list with the first publication of my book on Kindle Direct. Very nominally priced, a curation of my testing related blogs is my first attempt at publishing.

Intelligent Testing Skills Needed for the Next Generation of Testing in the Communications Industry
Testing Experience Magazine
March 01, 2013

A detailed white paper on skills needed for next generation of testers for testing complex applications emerging in Communications Industry and for digital revolution

Implementing Contracts on an NGN OSS
TeleManagement Forum
May 20, 2007

NGN OSS Blueprint Catalyst Project Phase II. Implementing Standards-based OSS for Accelerating Converged Products Delivery. Detailed Handout Note is at http://www.slideshare.net/krahman/tmforum-icon-catalyst-white-paper