Articles

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's picture 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's picture Colleen Stock
Six steps 6 Steps to a Successful DevOps Adoption

Implementing DevOps practices can significantly accelerate software releases while still assuring applications meet quality objectives. But DevOps can’t be bought, bolted on, or just declared. If you’re considering a move to a DevOps delivery model, here are six approaches for ensuring a successful DevOps adoption within an organization.

Alan Crouch's picture Alan Crouch
value highlighted in dictionary Get Smart about Your Regression Tests’ Value

If you aren’t measuring the coverage your regression tests provide, you may be spending too much time for little benefit. Consider the value of your regression tests as you create and manage them. You need to be smart about the regression tests you maintain in order to gain the maximum value from the work put into creating, running, and analyzing their results.

Leanne Howard's picture Leanne Howard

Better Software Magazine Articles

The New Normal for Software Development and Testing The New Normal for Software Development and Testing

Customers expect fast-paced, quality product releases. To meet these demands, you must consider test automation, testing in production, and the extensive use of data and analytics.

Michael Sowers's picture Michael Sowers
veggies and gems Alternate Testing Models: A Tale of Veggies and Precious Gems

As if working at Lego isn’t fun enough, Sherri Sobanski delights in finding new ways to test. Faced with a situation requiring a complete product redesign, she shares the route her team took to overhaul testing.

Sherri Sobanski's picture Sherri Sobanski
cucumber open source tool What Is Cucumber and Why Should I Care?

If there ever were a game changer to energize a development team, Cucumber just may be it. An open source tool, Cucumber helps in the running of automated customer acceptance tests. Matt Wynne, a cofounder of Cucumber Limited, delivers a brilliant introduction to this tool.

Matt Wynne's picture Matt Wynne
Test Automation: Now We Have To Get It Right

Never afraid to voice his opinion, Paul Gerrard suggests that in digital transformation projects, test automation may be the biggest challenge to success. He argues we have to get automation right this time and to do this, a new way of thinking about testing may be required.

Paul Gerrard's picture Paul Gerrard

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's picture 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's picture 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's picture 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's picture Josiah Renaudin

Conference Presentations

STARWEST Testing Rise of the Machines: Can Artificial Intelligence Terminate Manual Testing?
Slideshow

The state of the art in automated software testing is far from being a replacement for human-guided testing. There is more to testing than setting up preconditions, applying inputs, verifying outputs, and logging the results. Testing requires significant planning, exploring, learning...

Tariq King
STARWEST Testing What to Do—Develop Your Own Automation or Use Crowdsourced Testing?
Slideshow

Modern software products tend to have a rich UI that supports many user workflows, all of which need to be covered in testing. Agile organizations quickly discover that manual end-to-end testing neither supports their velocity nor provides respectable regression coverage. A common...

Daria Mehra
STARWEST Testing Test Automation for Data-Centric Applications
Slideshow

Test automation, one of several key technical enablement practices, allows teams to be more successful in their agile journeys. Although there are many test practices and automation tools available for software development teams to leverage, few data-centric testing tools are targeted to...

Cher Fox
STARWEST Testing Machine Learning: Will It Take Over Testing?
Slideshow

Machine learning (ML), a branch of artificial intelligence, is gaining widespread adoption and interest on software development projects. Paul Merrill says that ML isn't typical programming. Algorithms can be changed and checked for accuracy at runtime to “learn” from data. Some companies...

Paul Merrill

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