Early this year, on January 15, I published our first research on testing for the Agile and Lean playbook. Connected to that research, my colleague Margo Visitacion and I also published a self-assessment testing toolkit. The toolkit helps app-dev and testing leaders understand how mature their current testing practices and organization are for Agile and Lean development.
The Agile Testing Self-Assessment Toolkit
So what are the necessary elements to assess Agile testing maturity? Looking to compromise between simplicity and comprehensiveness, we focused on the following:
Testing team behavior. Some of the questions we ask here look at collaboration around testing among all roles in the Scrum teams. We also ask about unit testing: Is it a mandatory task for developers? Are all of the repeititive tests that can be run over and over at each regression testing automated?
Organization. In our earlier Agile testing research, we noticed a change in the way testing gets organized when Agile is being adopted. So here we look at the role test managers are playing: Are they focusing more on being coaches and change agents to accelerate adoption of the new Agile testing practices? Or are managers still operating in a command-and-control regime? Is the number of manual testers decreasing? Are testing centers of excellence (TCOEs) shifting to become testing practice centers of excellence (TPCOEs)?
More and more data is stored online by both consumers and businesses. The convenience of using services such as Dropbox, Box, Google Drive, Microsoft Live Skydrive, and SugarSync is indisputable. But, is it safe? All of the services certainly require a user password to access folders, and some of the services even encrypt the stored files. Dropbox reassures customers, "Other Dropbox users can't see your private files in Dropbox unless you deliberately invite them or put them in your Public folder."
The security measures employed by these file-synching and sharing services are all well and good, but they can be instantly, innocently neutered by a distracted programmer. Goodbye privacy. All your personal files, customer lists, business plans, and top-secret product designs become available for all the world to see. How can this happen even though these services are sophisticated authetication and encryption technologies? The answer: a careless bug introduced in the code.
Below is some Java code I wrote for a fictitious file-sharing service called CloudCabinet to demonstrate how this can happen. Imagine a distracted programmer texting her girlfriend on her iPhone while cutting and pasting Java code. Even non-Java programmers should be able to find the error in the code below.
Recently, I’ve been getting more inquiries around risk based testing. In addition to agile test methods and test estimation, test teams turning their eyes to risk based testing is just another positive step in integrating quality through out the SDLC. Yes, I still see QA engineers as having to put their evangelist hats on to educate their developer brothers and sisters that quality is more than just testing (don’t get me wrong, consistent unit and integration testing is a beautiful thing), however, any time that business and technology partners can think about impact and dependencies in their approach to a solid, workable application elevates quality to the next level.
Keep asking those questions about risk based testing – and make sure that you’re covering all of the angles. Make sure that you’re covering: