Modern testing overview
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An explanation of many modern testing considerations aimed at managers, senior leadership and non-testers.
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Recommended
Flow-based road mapping & options thinking
Presentation given at Mile High Agile 2016 about how to modernize the portfolio planning and road mapping process to better fit with software product development planning.
CF - Portfolios and Roadmaps
Talk given at DSM Agile on using a Cadenced Flow approach to planning portfolios and roadmaps
Lean development planning using options thinking
Shows how to do benefit mapping and flow-based roadmapping
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If you’d like an alternative to typical, quarter-by-quarter, schedule oriented road mapping (and all the associated waste) then this session is for you. Matt Barcomb will introduce a Cadenced Flow approach to flow-based road mapping. He will first cover how to layout and execute a road map based on models that better fit software planning as well as how to transform your existing plans. Next, using options thinking to frame work will be explored and how to use starting and stopping triggers for options, reducing the need of blind budgeting or project practices. Finally, Matt will wrap up by touching on a few key metrics that will let you monitor and evaluate your new road map.
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Does prioritizing your development portfolio seem unclear or mired in politics? Ever feel like the decisions for what gets worked on when are somewhere between arbitrary and emotional? Ever get tired of providing cost estimates for work of uncertain value? If you answered yes to any of the above questions, this session is for you! Matt Barcomb will open with introductory concepts about shifting from a cost focus to a value focus for development work. Next, providing business value for user stories will be debunked. Then, a collaborative framework for prioritization, Benefit Mapping, will be discussed. Finally, Matt will end with ways to simplify the cost evaluation of work and risk.
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- API
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However, to do real customer experience optimisation, you need to think about all the ways your customers are interacting with you.
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Web optimization is a vital part of the evolution of customer experience. As performance has become an increasingly more important consideration and experimentation has been driven deeper into the behavioral layer of web pages or apps, brands are turning to server-side optimization solutions to help solve the need for greater testing & optimization across every aspect of the consumer’s journey.
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About UCI Applied Innovation:
UCI Applied Innovation is a dynamic, innovative central platform for the UCI campus, entrepreneurs, inventors, the business community and investors to collaborate and move UCI research from lab to market.
About the Cove @ UCI:
To accelerate collaboration by better connecting innovation partners in Orange County, UCI Applied Innovation created the Cove, a physical, state-of-the-art hub for entrepreneurs to gather and navigate the resources available both on and off campus. The Cove is headquarters for UCI Applied Innovation, as well as houses several ecosystem partners including incubators, accelerators, angel investors, venture capitalists, mentors and legal experts.
Follow us on social media:
Facebook: @UCICove
Twitter: @UCICove
Instagram: @UCICove
LinkedIn: @UCIAppliedInnovation
For more information:
cove@uci.edu
http://innovation.uci.edu/
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-How to integrate experimentation into your product roadmap
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What You Will Learn:
- Identify excessive network utilization, adjust queries appropriately and use Compass to confirm results.
- Understand how the Compass graphical client can help you improve performance in your MongoDB deployment.
- Use Compass real time statistics to identify slow queries and recognize when a query is a good candidate for adding an index.
Using Compass to Diagnose Performance Problems in Your Cluster
Using Compass to Diagnose Performance Problems in Your Cluster
Speaker: Brian Blevins, Technical Services Engineer, MongoDB
Date/Time: June 20, 1:50 PM
Track: Performance
Since the performance of your application drives engagement and revenue, it can make or break the success of your organization. You can use the Compass graphical client from MongoDB to visualize your database schema, collect information on optimization opportunities and make database changes to improve performance. In this talk, we will briefly introduce Compass and then delve into the features supporting database performance optimization. The talk will combine instruction on the use of Compass with recommendations for performance best practices. We will also review the detection and resolution of slow queries and excessive network utilization. After attending the talk, audience members will have a better understanding of the capabilities of Compass, including how those capabilities can be used to find and correct performance bottlenecks in MongoDB databases. This session is designed for those with limited MongoDB experience. Attendees should have a basic understanding of MongoDB’s schema design, the server/database/collection layout, and how their application accesses and uses the MongoDB database.
What You Will Learn:
- Identify excessive network utilization, adjust queries appropriately and use Compass to confirm results.
- Understand how the Compass graphical client can help you improve performance in your MongoDB deployment.
- Use Compass real time statistics to identify slow queries and recognize when a query is a good candidate for adding an index.
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How to Use AI in Product by Intel Product Manager
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- Customer vs Industry
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- AI as a feature vs AI as a product
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Watch the webinar here: https://optimizely.wistia.com/medias/cun66mnkwt
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DESCRIPTION: Create a data-driven culture and affect business decisions at the broader company level. When most people think of experimentation or testing, they think of sales and marketing.
However, to do real customer experience optimisation, you need to think about all the ways your customers are interacting with you.
The right mix to support building your programme into a centre of excellence is critical: you need a team that helps create a data-driven culture.
Watch this webinar so you can:
* Think more deeply about the future of your program and the makeup of your team
* Consider which hard and soft skill sets your testing organisation needs
* Build a well-rounded optimisation team that is visible, sustainable, and efficient
About Optimizely
Optimizely is the world's leading experimentation platform, enabling businesses to deliver continuous experimentation and personalisation across websites, mobile apps and connected devices. Optimizely enables businesses to experiment deeply into their technology stack and broadly across the entire customer experience.
The platform’s ease of use and speed of deployment empower organisations to create and run bold experiments that help them make data-driven decisions and grow faster.
To date, marketers, developers and product managers have delivered over 700 billion experiences tailored to the needs of their customers. Optimizely’s global client base includes Atlassian, eBay, Fox, IBM, The New York Times, LendingClub, Hotwire, Microsoft and many more leading businesses.
To learn more about customer experience optimisation, visit optimizely.com
Making Your Hypothesis Work Harder to Inform Future Product Strategy
At Treatwell, each experiment goes beyond improving a single business metric. Experimentation works to evolve their product while enriching customer insights in order to deliver the best digital experience to their users. Join Laura Howard, Lead Product Manager, and Dennis Meisner, Senior Product Analyst, to learn their secret to making their hypothesis work harder and how getting their hypothesis right has improved Treatwell’s funnel progression and order health, as well as helped them make critical decisions on their product experience.
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Optimizely recently released the stats engine, which moves away from the traditional statistics model and into a new framework that is more aligned with modern business operations. In this workshop, we’ll walk you through the core trade-offs in A/B Testing, and how you can use them to decide when to stop running your test.
Full Stack Experimentation
Web optimization is a vital part of the evolution of customer experience. As performance has become an increasingly more important consideration and experimentation has been driven deeper into the behavioral layer of web pages or apps, brands are turning to server-side optimization solutions to help solve the need for greater testing & optimization across every aspect of the consumer’s journey.
Finding Value: How to determine the value of reliability engineering activities
Reliability engineering helps organizations minimize risk, identify failure modes and extend the useful life of products. These all add value. Being able to convert reliability activities into value is an essential skill for any reliability minded person.
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About UCI Applied Innovation:
UCI Applied Innovation is a dynamic, innovative central platform for the UCI campus, entrepreneurs, inventors, the business community and investors to collaborate and move UCI research from lab to market.
About the Cove @ UCI:
To accelerate collaboration by better connecting innovation partners in Orange County, UCI Applied Innovation created the Cove, a physical, state-of-the-art hub for entrepreneurs to gather and navigate the resources available both on and off campus. The Cove is headquarters for UCI Applied Innovation, as well as houses several ecosystem partners including incubators, accelerators, angel investors, venture capitalists, mentors and legal experts.
Follow us on social media:
Facebook: @UCICove
Twitter: @UCICove
Instagram: @UCICove
LinkedIn: @UCIAppliedInnovation
For more information:
cove@uci.edu
http://innovation.uci.edu/
Ff for product success
In this webinar, Puneet Kaura, Associate Director of Product Management, talks about the process of building products with Feature Flagging, tips about implementing a feature flagging framework to scale great experiences for your audience.
Hypothesis-Driven Development & How to Fail-Fast Hacking Growth
Why startups need to fail-fast & experiment more
Framework for Faster Experimentation
Prioritizing right and focussed experiments
Setting up team, process, culture & KPIs
Tools, Holistic Architecture enabling quick implementations of teams with lean team of Fronend & Backend developers
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Jacob Lial from Greenlane Search Marketing presents on AMP (Accelerated Mobile Pages) - December 2015. Learn about what AMP means to SEO, Google, and mobile site improvements to benefit your users. Visit ampproject.org to learn more about Google's big 2016 focus.
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A summary of the importance of usability and optimisation testing for website and mobile with tips on how to get over the main barriers.
Getting Started with Server-Side Testing
One of the most difficult aspects of deep experimentation ― which requires a full stack solution and server-side testing ― is laying a solid foundation for success. Join Optimizely and WiderFunnel to learn best practices for going beyond client-side testing, and implementing a full stack experimentation strategy to drive results on the entire customer journey.
-How to identify your key success metrics, such as customer retention and lifetime value
-How to integrate experimentation into your product roadmap
-How to start testing on your full customer journey
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Join Dan Olsen, product management expert, as he shares how to use both quant and qual feedback techniques to quickly improve your product.
In this webinar, product management expert Dan Olsen will share advice on:
- Why your product team should use quant and qual feedback techniques to improve your product quickly
- How the Lean Product Process can help improve your product development
- What factors to consider when establishing your MVP
- Hear real-world examples and case studies, not just hypothetical scenarios
Elena Grewal, Data Science Manager, Airbnb at MLconf SF 2016
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Elena Grewal, Data Science Manager, Airbnb at MLconf SF 2016
Similar to Modern testing overview
Using Compass to Diagnose Performance Problems
Speaker: Brian Blevins, Technical Services Engineer, MongoDB
Level: 200 (Intermediate)
Track: Performance
Since the performance of your application drives engagement and revenue, it can make or break the success of your organization. You can use the Compass graphical client from MongoDB to visualize your database schema, collect information on optimization opportunities and make database changes to improve performance. In this talk, we will briefly introduce Compass and then delve into the features supporting database performance optimization. The talk will combine instruction on the use of Compass with recommendations for performance best practices. We will also review the detection and resolution of slow queries and excessive network utilization. After attending the talk, audience members will have a better understanding of the capabilities of Compass, including how those capabilities can be used to find and correct performance bottlenecks in MongoDB databases. This session is designed for those with limited MongoDB experience. Attendees should have a basic understanding of MongoDB’s schema design, the server/database/collection layout, and how their application accesses and uses the MongoDB database.
What You Will Learn:
- Identify excessive network utilization, adjust queries appropriately and use Compass to confirm results.
- Understand how the Compass graphical client can help you improve performance in your MongoDB deployment.
- Use Compass real time statistics to identify slow queries and recognize when a query is a good candidate for adding an index.
Using Compass to Diagnose Performance Problems in Your Cluster
Using Compass to Diagnose Performance Problems in Your Cluster
Speaker: Brian Blevins, Technical Services Engineer, MongoDB
Date/Time: June 20, 1:50 PM
Track: Performance
Since the performance of your application drives engagement and revenue, it can make or break the success of your organization. You can use the Compass graphical client from MongoDB to visualize your database schema, collect information on optimization opportunities and make database changes to improve performance. In this talk, we will briefly introduce Compass and then delve into the features supporting database performance optimization. The talk will combine instruction on the use of Compass with recommendations for performance best practices. We will also review the detection and resolution of slow queries and excessive network utilization. After attending the talk, audience members will have a better understanding of the capabilities of Compass, including how those capabilities can be used to find and correct performance bottlenecks in MongoDB databases. This session is designed for those with limited MongoDB experience. Attendees should have a basic understanding of MongoDB’s schema design, the server/database/collection layout, and how their application accesses and uses the MongoDB database.
What You Will Learn:
- Identify excessive network utilization, adjust queries appropriately and use Compass to confirm results.
- Understand how the Compass graphical client can help you improve performance in your MongoDB deployment.
- Use Compass real time statistics to identify slow queries and recognize when a query is a good candidate for adding an index.
Agile Development From A Developers Perspective
A brief overview of agile and what it means for developers.
ML Playbook
ML Products have become a prolific and integral part of taking the insights of Data Science from theory to reality. Oddly though, the path from conception to implementation is often unclear with seemingly few similar examples to work from. The result is often a sea of agony between sliding deadlines, heroic efforts of people working though unforeseen challenges and haphazard innovation. Each time a beautiful model makes its impact on the business bottom line, something worked. In this talk we present the ML Playbook. It pulls together the best aspects from a variety of successful ML Product launches into a cohesive strategy to Plan, Build, Test, Learn, and Release ML Products. We'll demonstrate the ML Playbook in action with the story of launching an alert monitoring product for the world's most powerful jet engines, the GE90-115B.
The 6k startup - How to Launch a Startup on a Budget
Tools, tips, and tricks to launch a software startup for less than $6k
WSO2Con USA 2015: The Needs of Next Generation Giants
50% of the Fortune 500 companies from 2000 are gone! Facebook just became more valuable than Walmart! Next Generation Giants are being created every day and they are standing on the shoulders of technology and new business models to get there. Billions of connected people, apps and things are leading to the creation of new digital communities and ecosystems. Next Generation Giants harness API enabled businesses models to deliver hyper-relevant, orchestrated communications to customers. Smart things change how we experience the world. Deep insights power decisions for internal and external users. This session will answer questions such as
What’s the right alchemic formula of integrating, aggregating, mashing, and stacking to fuel the innovation necessary to meet the needs of these Next Generation Giants so that we may build one?
What expectations and experiences will our new digital neighbors demand?
How will we work dynamically in secure cyber communities?
How do we continue to disrupt how it has always been done?
Business Applications of Predictive Modeling at Scale
Tutorial delivered in KDD 2016 San Francisco
Abstract
Predictive modeling is the art of building statistical models that forecast probabilities and trends of future events. It has broad applications in industry across different domains. Some popular examples include user intention predictions, lead scoring, churn analysis, etc. In this tutorial, we will focus on the best practice of predictive modeling in the big data era and its applications in industry, especially sales and marketing. We will start with an overview of how predictive modeling helps power and drive various key business use cases. We will introduce the essential concepts and state of the art in building end-to-end predictive modeling solutions, and discuss the challenges, key technologies, and lessons learned from our practice, followed by a case study. Moreover, we will discuss some practical solutions of building predictive modeling platform to scale the modeling efforts for data scientists and analysts, along with an overview of popular tools and platforms used across the industry.
Target Audience and Prerequisites
This tutorial is suitable for researchers, students, and practitioners of predictive modeling who are interested in the industry applications. Advanced techniques in data mining and statistical modeling are not required but some background in statistics and big data is expected.
Final tips holiday readiness 2015 for slide share
Join us for this fast-paced webinar as two web and mobile performance experts share five tactics you can deploy immediately do squeeze the most out of the applications and infrastructure you already have.
Design for Testability in Practice
With the drive for continuous integration and delivery, the implications and approaches for designing more testable software are receiving substantial discussion and debate. What does testability really mean in practice? How do you take the idea of testability—how easy it is to test software—and put it into action through the different dimensions of designing and testing a real-world product? Nir Szilagyi recognizes that the challenges of difficult-to-test software can transform a testing cycle from a small automation and exploratory effort to a long struggle of test preparation, execution, and debugging. He says testability starts with software design, goes through implementation, and encompasses building modular software, abstraction, simplicity, clear data interface, separation of business logic into self-sustained entities, and more. On the technical side of testability, Nir explores ways quality engineers and leaders can influence testability from early development through deployment. From his experiences Nir shares real-life testability examples which touch on the human process of building software including the relationship between testers and developers.
Continuous delivery for machine learning
Lessons learnt and system built while solving the last mile problem in machine learning - taking models to production. Used for the talk at - http://sched.co/BLvf
Webinar: Scaling MongoDB
Has your app taken off? Are you thinking about scaling? MongoDB makes it easy to horizontally scale out with built-in automatic sharding, but did you know that sharding isn't the only way to achieve scale with MongoDB?
In this webinar, we'll review three different ways to achieve scale with MongoDB. We'll cover how you can optimize your application design and configure your storage to achieve scale, as well as the basics of horizontal scaling. You'll walk away with a thorough understanding of options to scale your MongoDB application.
Topics covered include:
- Scaling Vertically
- Hardware Considerations
- Index Optimization
- Schema Design
- Sharding
MongoDB.local Austin 2018: Pissing Off IT and Delivery: A Tale of 2 ODS's
Long live RDBMs! For years they have been a staple of large data set storage, manipulation & retrieval. But what if I told you that we were able to simplify every aspect of our new ODS; from data maintenance and implementation to API design, scalability and maintainability by doing one simple thing?
Presented by: Scott Jones, Acxiom Fellow, Acxiom
Oracle data integrator (odi) online training
Oracle Data Integrator (ODI) Online Training is providing at Glory IT Technologies. You will learn how to create the ODI topology, design ODI interfaces, packages, procedures and organize ODI models & other objects. Every student will learn how to use manage projects in ODI to develop interfaces and objects. Our ODI Training takes student through some of the more advanced features is used of Oracle Data Integrator.
MongoDB World 2018: How an Idea Becomes a MongoDB Feature
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Metrics-driven Continuous Delivery
Slides from my talk "Building a Metrics Optimised Pipeline" at GOTO Stockholm 2016: https://gotosthlm.com/conferences/1/sessions/3
MongoDB World 2018: Pissing Off IT and Delivery: A Tale of 2 ODS’s
Speaker: Scott Jones, Acxiom Fellow, Acxiom Corporation | Karen Wilson, Senior Software Engineer, Acxiom
Business Applications of Predictive Modeling at Scale - KDD 2016 Tutorial
Predictive modeling is the art of building statistical models that forecast probabilities and trends of future events. It has broad applications in industry across different domains. Some popular examples include user intention predictions, lead scoring, churn analysis, etc. In this tutorial, we will focus on the best practice of predictive modeling in the big data era and its applications in industry, with motivating examples across a range of business tasks and relevance products. We will start with an overview of how predictive modeling helps power and drive various key business use cases. We will introduce the essential concepts and state of the art in building end-to-end predictive modeling solutions, and discuss the challenges, key technologies, and lessons learned from our practice, including case studies of LinkedIn feed relevance and a platform for email response prediction. Moreover, we will discuss some practical solutions of building predictive modeling platform to scale the modeling efforts for data scientists and analysts, along with an overview of popular tools and platforms used across the industry.
Perils of Page-Object Pattern
Page-Object pattern is very commonly used when implementing Automation frameworks. However, as the scale of the framework grows, there is a limitation on how much reusability really happens. It inherently becomes very difficult to separate the test intent from the business domain.
I talk about this problem, and the solution I have been using - Business Layer - Page-Object pattern, which has helped me keep my code DRY.
For more details (links to slides, etc.), see my blog: http://goo.gl/biRn4n
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Using Compass to Diagnose Performance Problems in Your Cluster
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The 6k startup - How to Launch a Startup on a Budget
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WSO2Con USA 2015: The Needs of Next Generation Giants
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Business Applications of Predictive Modeling at Scale
MongoDB.local Austin 2018: Pissing Off IT and Delivery: A Tale of 2 ODS's
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MongoDB World 2018: How an Idea Becomes a MongoDB Feature
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MongoDB World 2018: Pissing Off IT and Delivery: A Tale of 2 ODS’s
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Business Applications of Predictive Modeling at Scale - KDD 2016 Tutorial
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Software testing proposal for the software comppany .pptx
Software testing proposal for the software comppany .pptx
More from Matt Barcomb
Want better products and more business value design better organizations!
The world is becoming smaller, faster, and more distributed. Can traditional organization designs continue to generate business value for the long term? If not, can we design better organizations that will?
It seems many organizations try to change to keep up, but often these changes fail to stick or don’t achieve the intended outcome. This happens when changes only target processes and practices and do not address the deeper, fundamental aspects of an organization’s design such as structure, rewards, and inclusionary behaviors.
But changing the fundamental aspects of an organization’s design can be challenging due to their complexity and lack of visibility. This session introduces practices such as Org Net Mapping, Visual Reward Analysis, Customer-centric Value Mapping and others. These practices will help you visualize the fundamental aspects of an organization’s design. And visualization is the first step in creating better organization designs.
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Many organizational change initiatives fail due to lackluster leadership support. This should not surprise us as we often find that just below the surface nothing has changed. We should not expect organizations to transform if we don't design an ecosystem that allows emergence and growth to thrive.
The future of leadership lies in the ability to cultivate this ecosystem. Modern leaders need to facilitate continuous change by seeing their organization as a system while simultaneously embracing uncertainty.
Attendees will leave this session with the ability to facilitate pragmatic practices they can use immediately to apply fundamental concepts about systems and uncertainty.
A systems approach to modern leadership
My talk from Agile & Beyond 2015 that discusses uncertainty, systems and experimentation
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First, rethink quality as value to a consumer. Then realize that flow of product quality is simply a reflection of organization design. Last, show how to influence org design through systems thinking and generalist learning.
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Modern testing overview
- 1. Modern Testing Overview with LeanDog INFO@LEANDOG.COM
- 3. Gather information about quality & risks to assist with product decisions INFO@LEANDOG.COM
- 4. INFO@LEANDOG.COM Testing = Checking + Exploration
- 5. INFO@LEANDOG.COM Checking can be scripted. Exploration is bounded & focused.
- 6. INFO@LEANDOG.COM Creating checks & performing exploration require a human designer
- 8. INFO@LEANDOG.COM Design the checking harness. Reduce test duplication. Consider the test pyramid.
- 9. INFO@LEANDOG.COM Functional story tests Unit tests (CFMT) End-to-end tests Systems Integration Chartered ExploratoryTesting
- 10. INFO@LEANDOG.COM Charter structure: Explore <area> with <resources> to discover <information>.
- 11. Agile Changes When & How Not What INFO@LEANDOG.COM
- 12. INFO@LEANDOG.COM Design tests earlier. Design tests collaboratively.
- 14. INFO@LEANDOG.COM Execute checks early and often.
- 17. INFO@LEANDOG.COM Test automation... ...should be code-based ...not brittle, UI, record/playback
- 18. INFO@LEANDOG.COM Test Driven Development - TDD (code-facing micro tests)
- 20. INFO@LEANDOG.COM Acceptance Test Driven Development ATDD
- 23. The Evolving Role of the Tester INFO@LEANDOG.COM
- 25. INFO@LEANDOG.COM Code written by coders.
- 26. INFO@LEANDOG.COM No manual script execution.
- 29. INFO@LEANDOG.COM Your build is your #1 feature.
- 30. INFO@LEANDOG.COM Feature branches must die! (sort of)
- 31. INFO@LEANDOG.COM Architect for feature toggles or back-to-front deployment.
- 32. INFO@LEANDOG.COM Test appropriately for each environment.
- 33. INFO@LEANDOG.COM Test your deployment pipeline. Check environment & configuration.