Articles

Testing feedback loop 5 Key Factors to Achieve Agile Testing in DevOps

Part of the path to DevOps requires adoption of agile methodologies. What does it mean for testing when you switch from the traditional waterfall model, with a few long release cycles per year, to the agile model, with changes occurring every two weeks? Here are five key factors to achieve the agile software testing necessary in DevOps.

Denise Rigoni
Changeable code The Value of Test-Driven Development when Writing Changeable Code

Writing changeable code makes it easier and more cost-effective to add features to existing software. Writing changeable code doesn’t take longer, but it does require paying attention to certain things when building a system. It's important to have a good suite of unit tests that support refactoring code when needed, and test-driven development helps you create independently testable code.

David Bernstein
Infinity symbol Has Continuous Deployment Become a New Worst Practice?

Software development has been moving toward progressively smaller and faster development cycles, and continuous integration and continuous deployment are compressing delivery times even further. But is this actually good for businesses or their users? Just because you can deploy to production quickly and frequently, should you?

John Tyson
Cloud with tools graphic Fixing a Broken Deployment Process

When you have hundreds of applications performing various functions across several environments, it's tough to push all the code when it needs to be. Here are some steps to help your own team develop the internal tooling it requires to deploy thousands of applications if needed, all in a reliable, efficient manner.

Colleen Stock

Better Software Magazine Articles

Supporting Continuous Testing with Automation Supporting Continuous Testing with Automation

Create tests that can be used in a continuous testing environment, build the right number of tests, and don’t fall victim to the mistaken belief that everything can be automated.

Bas Dijkstra
The Unspoken Truth about IoT Test Automation The Unspoken Truth about IoT Test Automation

The internet of things (IoT) continues to proliferate as connected smart devices become critical for individuals and businesses. Even with test automation, performing comprehensive testing can be quite a challenge.

Rama Anem
Building a Test Automation Strategy Building a Test Automation Strategy

QA departments always feel the pressure to start testing quickly, even if the ever-changing software being tested isn’t ready. A bought-in test automation strategy can keep a project on track.

Justin Rohrman
Test-Driven Service Virtualization Test-Driven Service Virtualization

Because enterprise applications are highly interconnected, development in stages puts a strain on the implementation and execution of automated testing. Service virtualization can be introduced to validate work in progress while reducing the dependencies on components and third-party technologies still under development.

Alexander Mohr

Interviews

Hans Buwalda DevOps Misconceptions and Testing Confidence: An Interview with Hans Buwalda
Video

In this interview, Hans Buwalda, the CTO at LogiGear, details the common misconceptions people have when it comes to DevOps. He also discusses continuous integration and continuous deployment, having the right amount of confidence when it comes to testing, and how to know if DevOps is right for you.

Jennifer Bonine
Cher Fox Why Test Automation Is Important for Agile Data Teams: An Interview with Cher Fox

In this interview, Cher Fox, of Fox Consulting, explains why test automation is essential for agile data teams' success. However, there are many other items to consider and address before implementing test automation. You may be able to get started with tools you already have.

Josiah Renaudin
Michael Nauman Shifting Left and Going beyond Agile: An Interview with Michael Nauman

In this interview, Michael Nauman, a testing lead for AutoCAD Web, explains how we can go beyond basic agile principles. He digs into the current state of shift-left testing, the importance of aligning your DevOps with your automation, and using agile as a starting point on your quality journey.

Josiah Renaudin
Mary Thorn The Tester's Role on Small and Large Agile Teams: An Interview with Mary Thorn

In this interview, Mary Thorn, the director of agile practices at Ipreo, explains why there shouldn’t be any real differences between large and small agile teams. She details the qualities of an interchangeable tester and breaks down manual versus automated testing.

Josiah Renaudin

Conference Presentations

STARWEST 2018 AI for Testing Tomorrow (Panel: Part II)
Slideshow

What does AI mean for the future of testing? What aspects of testing will the machines replace? What things will AI soon be better than humans at and what things will humans always do better than AI? This panel explores the future of AI for testing including thoughts on how humans can prepare for a future of testing where we work alongside AI. Hear experts discuss their views on the future impact of AI in testing and where the boundary between human and AI-powered testing truly lives.

Tariq King
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 Reduce Wait Time with Simulation + Test Data Management
Slideshow

Data has become the most significant roadblock that testers face today. In fact, up to 60% of a tester’s time is spent waiting for data. Chris Colosimo shows that many factors contribute to this wait time, including internal requirements from the test data management team to pull data in the proper form, wait times for sanitized or “test-safe” data, or, most importantly, building data sets that do not exist. Compounding these challenges is the inherit complexity of today’s data. You have to be a DBA to even begin to understand the structure and relationships needed to support your testing. There has to be a better way! Learn how to solve these challenges by providing a self-service method where users can model and repurpose their data on demand. Discover how to use a test data assistant automation to capture, model, and generate data for efficient use in API tests and virtual services.

Chris Colosimo
STARWEST 2018 How to Automate Testing for Next-Generation Interfaces (BOTs, Alexa, Mobile)
Slideshow

Today’s IT systems communicate with customers through multiple points of engagement and various interfaces, ranging from web, mobile, and voice to BOTs and apps like Alexa and Siri. Sanil Pillai says these systems need to provide seamless handoffs between different points of interaction—while at the same time providing relevant and contextual information quickly. To accomplish this, a team must be able to successfully pair device hardware capabilities and intelligent software technologies such as location intelligence, biometric sensing, and Bluetooth. Sanil shows that testing these systems and interfaces is becoming an increasingly more complex task, and traditional testing and automation processes simply don’t apply to new-generation digital interaction services. Join Sanil as he discusses the testing and automation challenges in new-generation digital interactions using hyperconnected BOTs.

Sanil Pillai

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