Related Content
 |
What’s the Problem with User Stories? Agile projects focus on very lightweight, simple requirements embodied in user stories. However, there are some problems with relying solely on user stories. They often don't contain enough accuracy for development, testing, or industry regulations. There's a better way to write detailed requirements that are still agile. |
|
 |
How to Make a Fixed-Scope Contract More Agile Establishing a contract that genuinely supports agile methods can be a significant challenge. By its very nature, a contract that specifies detailed, upfront deliverables contravenes the principles of flexibility and adaptation that are at the heart of agile. But it is possible—both parties just need to focus on results. |
|
 |
The Real Value of Cross-Functional Agile Teams Agile teams know that cross-functional collaboration is central to the methodology, but there are often barriers to fully embracing this idea. If teams are used to handoffs, it may seem like it makes sense to maintain the status quo. Try collaborating on something small to realize the true value of cross-functional teams. |
|
 |
Leave No Tester Behind Creating comprehensive automated tests within a sprint can be a challenge. If the testers don't finish the automation and the rest of the team moves on, testers get left behind and can't catch up. You need some techniques to keep everyone together and ensure that all essential work is accomplished—including test automation. |
|
 |
Lessons the Software Community Must Take from the Pandemic Due to COVID-19, organizations of all types have had to implement continuity plans within an unreasonably short amount of time. These live experiments in agility have shaken up our industry, but it's also taught us a lot of invaluable lessons about digital transformation, cybersecurity, performance engineering, and more. |
|
 |
An Agile Mindset Teaches the Lessons We Need for COVID-19 Since we can't control the COVID-19 situation besides following safety protocols, and updates change almost daily, our circumstances necessitate agility from everyone, from employees to company leads. Let’s look at the practical agility lessons COVID-19 is teaching us and why an agile mindset is even more important now. |
|
 |
5 Pitfalls to Avoid When Developing AI Tools Developing a tool that runs on artificial intelligence is mostly about training a machine with data. But you can’t just feed it information and expect AI to wave a magic wand and produce results. The type of data sets you use and how you use them to train the tool are important. Here are five pitfalls to be wary of. |
|
 |
Code Integration: When Moving Slowly Actually Has More Risk Many decisions about code branching models are made in the name of managing risk, and teams sometimes pick models that make integration harder in the name of safety. Moving slowly and placing barriers to change can seem safer, but agile teams work best when they acknowledge that there is also risk in deferring change. |
