I'm currently enjoying the Pragmatic Programmer (T.Hunt), which reads fluently thanks to the fact that it's build out of tips in the form of small chapters. Currently stranded at tip 15, I discovered a principle that I've already applied on a couple of projects, never realizing that it was a principle. Here's a distilled summary out of the chapter, shortened and mixed with an example:
Summarized book quote:
"There are two ways to fire a machine gun in the dark. You can find out what the target coordinates are. Then determine the environment conditions (wind, temperature, humidity, ...). After that investigate the specs of the cartridges and bullets and their interactions with the model of your gun. You can calculate the bearing and elevation of the barrel by a program. If all your tables of data are correct and the environment doesn't change, your bullets should land pretty close to the target.
Or you could use tracer bullets...
A tracer bullet is loaded on the ammo belt at intervals. When fired in the dark, their phosphorus ignites and leave a trail to what they hit, providing the gunner with instant feedback.
When you're starting a new project or building something that hasn't been built before and you're dealing with multiple layers/tiers/rpc's/libraries/ languages,... there are a lot of unknowns. The classic solution is to specify the system to death, clarifying each unknown. One big calculation of everything up front, then shoot and hope. Pragmatic Programmers tend to use tracer bullets."
Example:
Example:
For instance, let's say you have multiple clients on different platforms, calling your new webservice that needs to access some info in the DB, used to shoot an external webservice. Before the last step, giving back the result of this external webservice, it has to be transformed to another format and placed on a queue towars another system.
For each client, you could create simple tests firing a soap request asking about the one row present in the DB. A mock webservice deployed on a local or dev server, always returning the same (validated) result, could act as an external service. Maybe some sort of a persistent mean, like a file could act as a queue to see if the mock answer got transfered in the proper format.
Functionally there are few or no requirements implemented, but you've built a framework that allowed you to find out how the application hangs together as a whole (testing the different libs, marshalling, serialization, db access, soap calls, ...). You can show the users the interactions in practice and provide your development team an architectural skeleton on which to hang code.
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