We live in a new world of rapid deployment. Cloud-based services are always available and new features are regularly deployed. How can we find esoteric gaps in test coverage? Applying data science and machine learning - clustering and topic modeling using source data from raw text customer feedback, product telemetry, and customer support case text can help identify gaps in test coverage, performance issues, and user scenarios that can drive product improvements. “Always connected” users offer new learning opportunities to help improve quality.

Modern Workplace Engineering - Supportability

Ross is a Fellow of the Royal Society of the Arts and blogger. Author of The Practical Guide to Defect Prevention and holds seven patents. He is currently a PhD Scholar, part of University College Dubiin’s SmartLab program, researching the impact of AI, robotics, and automation on worker displacement.
He has worked at Microsoft for over 28 years and is a member of the Leadership Council for the Anita Borg Institute, co-chair for Grace Hopper Organizational Transformation track. He is a co-leader of ABI Local in Seattle, and part of the gender partner LT and ”male ally” panel discussions at the IEEE Women in Technology and National Center for Women in Technology (NCWIT) Summit and TechCrunch. Work with iUrbanTeen and Native Americans at Microsoft. He is a member of the board of Spreeha, working to break the cycle of poverty.
Developed 42projects to promote cultural change, develop organizational trust and improve the lives of the managed. To help develop the next generation’s interest in STEAM (STEM+Arts), he works with the Skype in the Classroom program and events like iUrbanTeen day at Microsoft . He was invited to the White House for discussion on women in STEM. Keynote speaker for the ARTBA’s Transovation 2014-2016. The work of his teams have been mentioned in Forbes, The Economist, the Wall Street Journal, PSFK, the American Journal of Play, Harvard Business Review, and the London School of Business.
He has presented at SXSW, MIT Solve, Grace Hopper, Serious Play, Games for Change, and several other large conferences.
His academic research papers are published on ResearchGate. He is a blogger for SHRM has worked on Skype Translator. He is an avid reader and loves to travel.

No matter how good their test automation framework is, QA managers and engineers still get blamed whenever defects escape to production.
This begs the question, why are critical defects — whether functional or non functional — escaping to production?
In this live virtual session, Eran Kinsbruner, Chief Evangelist at Perfecto by Perforce, will uncover the root causes behind escaped defects in traditional testing cycles.
Eran will provide a prescriptive and proven approach to building a solid test automation coverage strategy that reduces such risks.

The need for rapid innovation and differentiated customer experience has triggered evolution of new architectural patterns with organizations moving from monolithic to microservices based platforms. Traditional testing frameworks have limitations supporting these new models. M uous test orchestration solutions. Shifting from UI based to microservice based tests also require a cultural shift in the mindset of QA teams. The objective of this presentation is to review some of the best practices in testing microservice based platforms.

In the new world of dev-ops, cloud-based services, agile development, and continuous deployment, the opportunity to test up front has disappeared. While rapid feedback loops help deploy fixes quickly, an investment in helping customers and end users help themselves is also a viable option. The Modern Workplace Supportability team at Microsoft builds diagnostics and self help content to serve customers directly. Diagnostics allow the IT Administrator to initiate a self help check rather than having to open a support case. In addition, investments in building virtual agent (chatbot) conversational AI, with integrated diagnostics enabled customers to solve problems through an online chat. For example, a chat about Compromised (hacked) email accounts could be checked and resolved by the virtual agent and through an inline diagnostic.

In the new world of dev-ops, cloud-based services, agile development, and continuous deployment, the opportunity to test up front has disappeared. While rapid feedback loops help deploy fixes quickly, an investment in helping customers and end users help themselves is also a viable option. The Modern Workplace Supportability team at Microsoft builds diagnostics and self help content to serve customers directly. Diagnostics allow the IT Administrator to initiate a self help check rather than having to open a support case. In addition, investments in building virtual agent (chatbot) conversational AI, with integrated diagnostics enabled customers to solve problems through an online chat. For example, a chat about Compromised (hacked) email accounts could be checked and resolved by the virtual agent and through an inline diagnostic.

1. Python - Intro
2.Anaconda Installation
3.Data types in Python
4.Data structures in Python
5. Operators and Functions
6. Control flow statements

Over 13 years of diverse techno-functional experience at HSBC, Capgemini (Morgan Stanley) and Fiserv as a Project Manager/Organizational Change Agent at both onsite (US, Costa Rica) and offshore (Pune, Noida) locations. Extensive experience in Software Delivery and consulting, Process Optimizations & Simplification, Agile coaching & implementation, organizational culture change and DevOps tools implementation and management. Proven skills in leading organization wide initiatives to bring cultural and technological transformations to bring agility in deliveries and accelerate time to market. A test evangelist with proven track record of test process optimization, automation ROI and agile scrum coaching.

Points to cover
1) In-depth reviews of Agile projects, designed to assess the health, profitability and client Satisfaction
2) Crucial checkpoints to review Agile projects
3) A mechanism for leadership to communicate or reinforce key messages
4) Actions to improve Sales and Delivery Performance which helps for
* Improved Forecast Accuracy
* Improved Contribution Margin on the projects
* Go-to-Market Assistance for Sales team
* Any Delivery Quality improvements

Agile Development and Continuous Delivery are rapidly becoming the de facto standard for software development. The key business driver behind these initiatives are faster time to market (FTM). Mr. Vamsi Mohan Vandrangi is going to speak more on "Test Automation Approach in Agile World" in the Testing Conference. He will be discussing about various strategies for implementing efficent test automation, different ways to make successful test automation in Agile world and implementation best practices.

Mr. Vamsi Mohan is IIM Ahmedabad Alumnus and research scholar in Computer Science from the University of Delhi. He is currently working as a Principal Solution Architect at Tech Mahindra, catering digital transformative solutions to the Fortune 100 telecom clients. A Technology acumen across a range of digital technologies, including RPA, AI/ML Blockchain and cognitive engineering. He has end to end life cycle experience, architecting from the traditional monolithic frameworks to Microservices frameworks. He is keen in strategizing the testing practices for the modern frameworks including web and mobile. Prior to his current role at TechM, Vamsi served in various senior leadership roles managing Technology CoEs, Digital Innovation Centers in EMEA and APAC regions. His experience spans various technology solutions focusing on future-proofing business through digital transformations and the delivering of customer fit solutions. He is a conference speaker, published author, guide and reviewer for several technical books, magazines and international journals in technology, and management.

The main reason of test automation lagging behind in the software testing lifecycle and becoming a technical debt later, is the inability to conceptualise and create automation tests before the application is ready. Waiting for our application to be developed and stable to begin automating our tests may not be the smartest way and leads us to constantly playing catch-up with the new features. Sahi Pro's latest release 9.0 introduces the brand-new concept of Business Driven Test Automation (BDTA) which solves the problem of functional automation in a simple and elegant way. BDTA allows creation of Business Scenarios very early in the development cycle - right at the feature conceptualization stage. BDTA is an Intuitive and easy framework that allows business testers to automate their tests easily. Testers can express the business intent in natural language, record actions, parameterize and data drive the tests, all through an intuitive UI. Watch an informative hand-on demo on Business Driven Test Automation using Sahi Pro.

Nishi is a corporate trainer, an agile enthusiast and a tester at heart! With 12+ years of industry experience, she currently works with Sahi Pro software as an Evangelist and Trainings Head. She is passionate about training, organizing testing community events and meetups, and has been a speaker at numerous testing events and conferences. Nishi is also a writer on technical topics of interest in the industry and has numerous articles published at numerous popular forums and her own blog https://testwithnishi.com/ where she writes about the latest topics in Agile and Testing domains.

With the current innovations in AI-based testing, bots are capable of autonomously coding test scripts, testing the UI functionalities and also generating test data. Today, AI Bots can write test script containing 200 lines of code under 1 minute. In these session we will discuss the advancement in AI based testing and how you can utilize the same in your Agile team.

Artificial Intelligence, Natural Language Processing helps to generate text-processed steps that can generate automated scripts on the fly. Anyone who quickly wants to validate the website work flows can generate test scripts on the fly and run them reducing manual work. Azure Machine Learning Studio and Spacy NLP Library both have text-Processing trained models that can process English like test case steps into a Format that can be fed into a developed framework that generates Selenium Automated test scripts.