Measuring Productivity Of Your Software Development Team With Agile Metrics
Productivity in software development is typically tricky to measure. Is it how fast your team are doing something? It has been proven time and again that lines of code is a poor measure; are the number of modules an indicator? The degree of module reuse within a project, or from previous projects?
The Main Differences Between Wireframe, Mock-up, and Prototype
When we talk about wireframes, mock-ups, and prototypes, we are talking about graphical representations of software - how a system will look to end-users - and, in the case of the prototype, how it will work, too. This is generally in the form of an app (whether web, mobile, or desktop), although you might get clever with things like IoT and smart watch displays, too.
7 Ways to Save Money with Microsoft Azure
The allure of cloud computing isn’t just in its portability – its in the fact that you can wind up saving money on computing infrastructure and resources, too. Azure is Microsoft’s cloud computing platform, akin to Amazon’s AWS. If you are already running MS Office in your organisation, then considering rolling over some functionality to Azure holds quite the allure.
An Overview of Software Testing Strategies
Wouldn’t it be awesome if developers could just code a piece of software perfectly the first time around and there were zero bugs, the software working flawlessly, forever? Development time would be fast and customers would be assured everything would always work.
What’s the Difference Between Product Manager and Product Owner?
With so many job titles bandied about these days - tech evangelist, brand warrior, code ninja - it can be difficult to tell what’s a ‘real job’ and what’s simply another name for a job that already exists. Product Manager and Product Owner are two job titles that sound very similar, yet have unique differences.
5 Best Machine Learning Frameworks
What a time to be alive! When cars can (almost) drive themselves, our phones can unlock just by showing our face, and Siri can schedule meetings for us… Isn’t life grand? And easy? Machine Learning is seeping into our everyday lives - it’s not just operating behind the scenes in business helping banks spot fraudulent transactions, bolstering against enterprise cybersecurity attacks, and helping allocate and deallocate computing infrastructure for reduced operational costs.