Design & Code

Conference Presentations

STARCANADA 5 Ways to Make Load Testing Work for You
Slideshow

While organizations understand the need for load testing, and many even have the necessary tools to manage it, they still fail to execute it well and “do the job” for end-users. Frustration at a poor user experience is increased by the IT organization's failure to explain...
Israel Rogoza
STARCANADA Testing Retail VR Applications
Slideshow

Traditional test approaches break down when applied to retail virtual reality systems. In this presentation, Nimesh Patel will share his experience developing a novel approach to retail VR testing that uses a blend of exploratory research and business- and user-focused testing strategies...
Nimesh Patel
STARCANADA Devices and Desires: As Humans How Do We Experience Software?
Slideshow

We consume and still we desire more. More devices, more apps, more data, more bandwidth, more connectivity. The more we have, the more we want …. We assume that to be true – those of us who work in the software industry. But is that true? To understand what is really required of our...
Isabel Evans
STARCANADA No More Shelfware—Let's Just Drive Test Automation
Slideshow

When Isabel Evans learned to drive a car, she also learned how to check, clean, and change spark plugs, mend the fan belt with a stocking, and indicate speed and direction changes with arm and hand signals. Now, we don’t expect to have to do any of those things; we just drive the car...
Isabel Evans
STARCANADA Use BDD and Product Analytics to Change Your Vision of Quality
Slideshow

DevOps teams struggle to ensure quality in multiple daily deployments. Traditional testing approaches have often failed in this context, but there are exciting new ways to test. Laurent Py and Vincent Prêtre will explain how, at Hiptest, DevOps teams combine behavior-driven development...
Laurent Py
Agile DevOps East All We Need Is Product Love
Slideshow

Today, we have more choices than ever for software products. The competition for our time and attention is fierce, and we tend to invest in only the products that we love. But product love can be elusive. User expectations have been recalibrated by the likes of Gmail, Facebook, and Instagram, yet many of the applications we build fall well short of these lovable experiences. Join Todd Olson in this keynote as he explores what it takes to create products your users love, where the end goal is not the minimum viable product, but the minimum lovable product. Creating and lovable product isn’t the responsibility of only the product owner or product manager, but the entire team. It starts with user empathy as the point of departure, followed by deep exploration into motivation, goals, and behaviors, toward the destination of products that anticipate and fulfill unarticulated needs.
Todd Olson
Agile DevOps East Empathy-Driven Development
Slideshow

Empathy is a technical skill. Don’t worry; you read that correctly. While empathy is often cited as a critical “soft skill,” it doesn’t stop there. Empathy is also an incredibly technical topic that is more accessible to analytical engineers—and more vital to building software—than you might think. Andrea Goulet, a noted expert on communication in the software industry, will debunk several myths around empathy, including that empathy is just a feeling, that technical folks can’t access empathy, and that empathy is just a high-level, touchy-feely fad. Andrea will demonstrate how empathy is a crucial skill for all developers of software, and she will give you practical and immediately actionable advice for making empathy a central focus of your daily software development communication practices. She'll also explore the place for empathy while you’re coding and testing.
Andrea Goulet
Fighting Test Flakiness: A Disease that Artificial Intelligence Will Cure
Slideshow

Artificial Intelligence (AI) is making it possible for computers to diagnose some medical diseases more accurately than doctors. Such systems analyze millions of patient records, recognize underlying data patterns, and generalize them for diagnosing previously unseen patients. A key challenge is determining whether a patient's symptoms and history are attributed to a known disease or other factors. Software testers face a similar problem when triaging automation failures. They investigate questions like, Is the failure due to a defect, environmental issue, or nondeterministic test script? Is there current or historical evidence to support one belief over another? Join Tariq King as he describes how test failures and flakiness can be modeled for machine learning (ML) as causal disease-symptom relations.
Tariq King
STARWEST 2018 Managing BDD Automation Test Cases inside Test Management Systems
Slideshow

Behavior-driven development (BDD) has been around for a while and is here to stay. However, the added abstraction levels pose a technical problem for writing and managing tests. While BDD does a great job of marrying the nontechnical aspect of test writing to the technical flow of an application under test, keeping this information under source control becomes problematic. Frameworks such as JBehave, Cucumber, or Robot give subject matter experts that additional ability to write tests, but they are often restricted access from them; because people treat test cases as code, they get stored in source control repositories. Additionally, these given-when-then steps soon can grow to an extent where they are difficult to manage without an IDE, and nontechnical people lose interest. Using management tools, Max Saperstone shows how to manage these nontechnical steps and keep them in sync with the automaton in tools such as Git.
Max Saperstone
STARWEST 2018 Agile Performance Testing in the Real World
Slideshow

Performance issues substantially impact quality, cost, and customer confidence. Agile teams are challenged to build in performance processes throughout the lifecycle, but it is critical to incorporate performance into your CI/CD pipeline. Join Amit Patel as he shares his recent project experiences and the steps his team took to change processes, leverage different technologies, and align internal stakeholders. He explains how they use production-monitoring solutions to create a real-world production feedback loop in order to ensure they can analyze data and turn the information into actionable defects. As part of this, his team created process and procedures to execute performance tests on a regular basis and pass/fail builds based on thresholds. Join Amit to learn how to build a successful production feedback loop, align internal stakeholders, and implement holistic performance engineering.
Amit Patel

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