If someone says a feature is not testable through the methods we use, it does not absolve us from the responsibility of testing; that's still our job. When this team was given a new connected device to test, they realized their existing functional testing skills wouldn't be sufficient to test the product's core algorithm. So the team got creative, learning the source code and introducing fault injection, figuring out new ways to test.
From the way we look at software, evaluate risks, think about complexity, design our test approach and strategy, and help to release a stable product to the customer, technology has had an influence on how we test software. And that influence will only continue as technology advances. On a high level, here are five key things we’re already seeing that are going to shape the future of software testing.
IoT security is a large and changing topic, but there is one basic starting point where device security can be improved during development and testing: the user interface. The UI should be the first line of defense, but it’s currently weak in most IoT devices. Implementing better practices during the initial UI setup will go a long way toward improving security.
In 2015, it was discovered that Volkswagen had equipped millions of its cars with software to cheat on diesel emissions tests. It was a team of independent testers that uncovered the fraud. Jon Hagar tells testers what they can take away from the scandal and gives some recommendations to consider in order to improve the test industry for IoT and embedded systems.
In this interview, Kevin McCaffrey, the founder and CEO of Tr3Dent, details why digital transformations have become so important in the software industry and why companies need to understand how to utilize the data they’re getting from internet of things devices.
In this interview, Wilson Mar, an architect, developer, performance tester, and manager, talks with Jennifer Bonine about cutting-edge technologies in 3D printing and the Internet of Things. He talks about the importance of security and automation, and what we can expect down the road.
In this interview, Gene Gotimer, the senior architect at Coveros, explains how you can test better, deploy features into production faster with continuous delivery, and arrange your tests so each round provides just enough testing to give you confidence.
In this interview, Tom Stiehm of Coveros explains how you can integrate test automation with DevOps to create a continuous testing environment. In this performance-driven environment, software development, testing, and operations must evolve to meet iteration and release delivery goals.
The internet of things (IoT) brings connectivity to a range of previously non-internet-enabled physical devices and real-world objects. This shift has an impact testing—changing what we test, when we test, and the way we test. For one thing, once you’re in the real world, the number of possible issues explodes due to environmental conditions. Just like a race car must adjust its tires for different track conditions, IoT devices must account for environmental factors such as temperature and humidity to prevent unanticipated failures. Jane Fraser believes that for the IoT to be successful, we must focus on developing testing methods, analytics tools, and SDKs that help teams to automate activities such as checking connection strength and robustness, verifying mobile compatibility, and testing various hardware capabilities. This includes Wi-Fi, BTLE, radio, natural language processing technologies, and more.
The machine learning age is well underway. Today’s software can see novel patterns that humans are unable to see and improve task performance based on experience. Learning algorithms are widely used for varied purposes, including loan approval, intrusion detection, fraud prevention, risk...
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.
The technology storms continue to form and merge. The Internet of Things, software-defined everything, blockchain, and cloud computing are combining and recombining in new ways. To provide and consume trusted and resilient services, solutions must be defined and designed to accommodate...