I normally
try to tweet a bit when I participates in conferences, but at STARCanada I
simply couldn’t – my phone did not agree with the wifi, couldn’t find any in
the rooms where track sessions and keynotes where held.
So I wrote down my
tweets as they popped up, so here is my STARCanada collection of tweets.
Actually a
bit funny to see them all together in one page J
K1 Michael Bolton – why software drives us
crazy
- From quality assurance to quality assistance
- Expectations vs desires
- I keep finding myself shaving a yak!! (I think it meant: a chain of activities you want to do in order to reach a goal making it so difficult that one end up forgetting the original goal)
- Too often a system presents what it can do as a presentation of the internal datastructure rather thatn actually supporting what the user needs to do
- Geeks drives cars with stick shift, because they’re interested in the process of driving
- We report: are there problems in the product that represent risks to the use.
- Organisations don’t like hearing about problems
- Testing is viewed as cost centers in many companies rather thatn the nerve system of the organization.
- Think of testing not as “test cases” but as learning about product through experimentation.
T5 Nancy Kelln, Are your test reports a death
sentences?
- Comparing the five states you may go through when receiving a death sentence with reactions to getting bad news (test reports)
- Anger – deneil – bargening – depression – acceptance
- Every time you have a problem, then look at it and figure out how it can be a “people problem”.
- Depression: due to the nature of testing we cannot just disconnect and move on
- An emotional response to bad news may mean your message was heard
T9 Paul Holland, Agile test management and
reporting – even in a non-agile project
- Using bad metrics – promot bad behavior
- Measure/compare elements that are consistent in size or composition. Test cases are not! (can take 5 minutes or 5 days). Bugs aren’t either (complexity, probability etc).
- Bad metrics risk creating unhealthy competition between teams (Test cases per tester, bugs per tester)
- Bad metrics contain misleading information or gives a false sense of completeness 8e.g. coverage, pass rate, number of test cases)
- Use white board for test execution
K3 Ray Arell, the art of complex system testing
- Move from “what did you do yesterday” to “what did you LEARN yesterday”
- The magic roundabout (see here)
- The complex adaptive system model
- Youd cannot connect the dots going forward, you can only connect them looking backwards (Steve Jobs)
- Cognitive-edge.com got to check out!!
- Don’t waste your crisis – this is where innovation happens
- Simple systems: Mind numbing bureaucracy
- Complex systems: Fluffy bunnies and tree huggers
- Complicated systems: Tyranny of the experts
- Chaos: True catastrophe
W8 Scott Barber: How metrics programs can
destroy your soul
- Qualitative vs quantitative metrics
- Metrics without context doesn’t tell you anything
- Build me software that makes me money – the “bring me a rock” game
- “measurement dysfunction”. People tend to optimize metrics => invites “bad stuff”
- Quantitative metrics are invitations for conversations
- Inconsistent units: test/test cases, Size/importance of defects
- Quality is subjective: How good is “good enough”? What does pass/fail mean?
- What do you really want to know?
