We take in information from our environment in discrete steps. We abstract from the continuous data streams (aka “The Real World”) in the following order:
Author Archive for: Don
This author has yet to write their bio.Meanwhile lets just say that we are proud Don contributed a whooping 96 entries.
Entries by Don
Two recent events reminded me about the minefield called communication. A friend requested some feedback which I gladly provided. In fact, I thought I did a pretty good job! Based on the reply I received about the feedback, I knew what got heard, wasn’t what I meant.
Can knowing how one system works help you understand how other similar systems work? Do software, project and physical health have much in common?
In my experience the developers have the verification mindset, “Does it do the job?” Most everyone who uses the software has the mindset, “Does it allow me to do my job?” And that is the essential difference.
Yes, Virginia, there’s more to testing. I’m a developer, not a tester. I know only a little bit about testing, but I DO know that testing methodologies move just about as fast as development methodologies do.
Engineers make the darndest assumptions. I made one such assumption in “Change and Stable Systems”. The unstated assumption involved starting with a stable system. But what do you do if your system (as in team, project, company) is unstable?
Head Down and Headed for Cover I’m an adrenalin junky. I keep agreeing to work with projects in trouble with incredible time pressure. Last Wednesday I agreed to help a project that HAD to be completed by Friday. The team was scheduled to fly home. We made good progress on Wednesday. Thursday we were supposed […]
Causal Loop Diagrams (CLDs) share several things with books: they both tell stories, they can be fact or fiction, and they’re both easier to read than write. Keep reading to learn how to write CLDs. The Buddy System The first step in creating CLDs: find a buddy, friend or coworker with whom to share the […]
Causal Loop Diagrams (CLDs) can help us understand complex interactions and events by revealing system structure. Unlike buildings, most systems don’t have visible structure. We notice systems by observing events. When the events form a pattern (usually over time), there’s indication that a system is working. We use CLDs to diagram the system and reveal […]