All IT systems at some point in their lifecycle need to consider non-functional requirements and their testing. For some projects these requirements warrant extensive work and for other project domains a quick check through may be sufficient. As a minimum, the following list can be a helpful reminder to ensure you have covered the basics.  Based on your own project characteristics, I would recommend the topics are converted into SMART (Specific, Measurable, Attainable, Realisable, Timeboxed / Traceable) requirements with the detail and rigour appropriate to your project.

The list is also available at the bottom of the article as a one-page PDF document. While it is easy to make the list longer by adding more items, I would really like to hear how to make the list better while keeping it on one page (and readable) to share with other visitors here.

Security
  • Login requirements - access levels, CRUD levels
  • Password requirements - length, special characters, expiry, recycling policies
  • Inactivity timeouts – durations, actions

Audit
  • Audited elements – what business elements will be audited?
  • Audited fields – which data fields will be audited?
  • Audit file characteristics - before image, after image, user and time stamp, etc

Next week I’ll be teaching a two day Agile Project Management course for the PMI in New Orleans. The class sold out quickly; I only teach 3 or 4 times a year for the PMI and I wondered if registration numbers would be down this year. The fact that it filled up so quickly is very positive and perhaps more people are tuning to agile as a way to get more work done with less budget.

This year’s Agile Business Conference in London has the theme of “Driving Success in Adversity” and I have submitted a presentation outline and plan to attend. There submission system states “This year we invite presentations and tutorials emphasising how Agile practices promote efficiency in project delivery, guarantee business value and optimise return on investment.” This seems a great theme, agile is all about maximizing business value, and I am looking forward to the conference.
 
Meanwhile, in New Orleans next week, I am keen to hear how organizations are currently using agile methods within their organizations to add value. (I am also looking forward to sampling the food and feeling some warmer weather after a long Canadian winter!)

Many skills go through a familiar progression:
1) Poor Performance
2) The Point of Realization
3) The “Sucking” Phase
4) The Advancement Phase

I went through this with TDD, then with a switch from management to leadership, more recently with learning to ski down hill in control on cross-country skis.

1) Poor Performance – Some things you just cannot do, or you have a lack of recognition about. The end result is that performance is poor.

2) The Point Realization – this is when you realize what you are supposed to be doing and the “a-ha” moment occurs. It feels good to now know what you need to do, but usually we are not practiced at it and still continue to fail for a while.

3) The “Suck” Phase – We know what we should do, but despite our best efforts we fail at doing it. This is because we have had no practice and we have not developed our skills yet. It can be frustrating that after making the mental leap that our performance hardly improves at all. From an external view observers may see no discernable improvement between before and immediately after the Point of Realization. Yet the seed has been sown and with practice we will get better.

4) The Advancement Phase – Now at last we start to make progress as we practice, continue to make mistakes, but get better and better. Our performance improves, we still fail occasionally, but less often and we get longer periods of high performance in between.

Applied Behavioral Analysis Science
My latest Point of Realization came during a presentation by Tony Parrottino at a recent PMI-SAC meeting. Tony was talking about Applied Behavioral Analysis Science as outlined by Aubrey Daniels.

Bob Johansen author of “Get There Early: Sensing the Future to Compete in the Present” outlines the challenges of VUCA projects. VUCA is a military term used to describe environments characterized by:

Volatility
Uncertainty
Complexity
Ambiguity

In such environments standard Command-and-Control processes are not effective.

I recently attended a great presentation by Denise Caron who outlined Bob’s description of VUCA challenges and the new leadership models that lend themselves to these circumstances. Many of today’s software projects exhibit Volatility, Uncertainty, Complexity and Ambiguity and there are numerous parallels between agile leadership and the VUCA leadership model.

Low complexity, fixed targets and “knowable” problems can be solved with a Command-and-Control approach. Here careful upfront planning and then methodical execution pay dividends. However, projects with high complexity, moving targets and initially unclear end-goals cannot be planned in detail upfront and then simply executed. This is where the advantages agile approaches come into play gaining the benefits of adaption over a traditional “Plan-the-work, work-the-plan” approach.

Johansen brings some useful parallels to the agile model, focusing on the role of a leader when faced with a dilemma involving Volatility, Uncertainty, Complexity and Ambiguity. He highlights a Foresight to Insight to Action cycle as shown next...