Dan McFall, president and CEO at Mobile Labs, chats with TechWell community manager Owen Gotimer about trends in enterprise mobility, the role DevOps and the cloud play in mobile application testing, and the transition to working from home.
Companies that want to reduce testing costs usually try working with fewer people, or even cutting back on the amount of testing done. But with those approaches, quality usually suffers. Releasing a critical bug and suffering the subsequent pain usually costs multiple times what testing would. There are better ways to save money, and it can be done just by being smarter about our test cases and their structure.
As a quality analyst, when you raise a bug, developers sometimes react as if you were personally attacking their job. The situation can be even more difficult if you are starting a new QA team, where you will work with people who have never had the quality assurance component. Here is some advice for ways you can be effective when you’re starting on a team that has never worked with quality analysts before.
We’ve all heard about AI for software testing from some seriously smart people, but there has been a lot of confusion about the idea. This article tackles some of the questions you might be asking: Do I need to be a genius to use AI for software testing? Is AI going to replace me as a tester? Where does AI fit into my testing strategy? With a simple analogy of training a dog, learn how AI fits into testing.
Coveros CEO Jeff Payne discusses the growth of the STARWEST conference, including new networking opportunities and ways to engage with your peers throughout the event. Jeff talks about how the software testing conference has become extremely collaborative and provides so much for attendees to take back to their companies and teams.
“AIOps” stands for “artificial intelligence in IT operations,” or using machine learning and data science to solve IT problems. AI can help with many IT functions, including detecting and remediating outages, monitoring availability and performance, and IT service management. Like with DevOps, a tester plays an important part with AIOps—they just have to determine what that is.
The higher you climb in the organization, the less information you get: An executive might only see red, yellow, and green for a project. Any time different teams need to communicate complex information, there is bound to be some information loss, and maybe some information control. We just need to understand where and why that happens, and—hopefully—how we can mitigate it.
Hi all, I wanted to ask if anyone had come across any automation tools that are used outside of the general web / app based ones. eg automating the requirment analysis, test plan creation, test script creation etc
Hans Buwalda, CTO at LogiGear, discusses how to accomplish same-sprint automation. The testers, automation engineers, and developers are all working in the same sprint, so you can immediately hand off what you are working on and get it into the next phase. Hans also talks about why it’s so challenging to get teams to agree on same-sprint automation, saying the commitment for the sprint needs to come from the team as well as the business.