Skip to main content

Provenance & Profiling

Is your car German or Japanese? Are your chocolates from Belgium? And your wine, which country might that be from? There's a good chance you know the answer to some of those questions. Our culture places value on provenance. That is, we care where our possessions originate. It's something we tend to notice.

Warning label?

Furthermore, we ascribe, often without our notice, characteristics to things because of their provenance. For example, that's a Japanese radio - its reliable but not cheap, etc. I often do this un-empirically, without measurement or examination. (that's a flaw)

For software testing, our automatic identification of provenance can be both a useful tool and a distraction. 

Noticing where or from whom a feature originated can be enlightening. You may learn over time that a particular team or person tends to implement certain things well, and others things not so well.

This has a tendency to help me to find some bugs relatively easily with individual teams. The first time it may have been time-consuming to see an issue. On subsequent releases, annoyingly easy.

That emotion is useful. Its an indication that you have, maybe subconsciously,  profiled the team. You can direct your response to that feeling, in constructive ways. For example, searching for a route cause or suggesting the addition of some unit tests.

It can be useful to think and deliberate over how you may have profiled the teams or people. Again, this is valuable 'intelligence,' the profile can help with planning your time and focusing test automation efforts. Though, the pattern also embodies a form of bias. You should be aware that you are subject to this bias, and routinely double check your assumptions.

It would be easy to concentrate too long on easy to find - known unknowns that were easy to spot thanks to your biased view. To increase our opportunities for discovering new types of issues, set aside time for investigating the app in other ways. 

Comments

Popular posts from this blog

Don't be a Vogon, make it easy to access your test data!

 The beginning of the hitch-hikers guide to the galaxy leads with an alien ship about to destroy the Earth, and the aliens saying we (mankind) should have been more prepared – as a notice had been on display quite clearly – on Alpha Centauri the nearby star system, for 50 years. Seriously, people - what are you moaning about – get with the program?  The book then continues with the theme of bureaucratic rigidity and shallow interpretations of limited data. E.g. The titular guide’s description of the entire Earth is one word: “Harmless”, but after extensive review the new edition will state: “Mostly harmless”. Arthur Dent argues with the Vogons about poor data access This rings true for many software testing work, especially those with externally developed software, be that external to the team or external to the company. The same approaches that teams use to develop their locally developed usually don’t work well. This leads to a large suite of shallow tests that are usually h...

Can 'reasoning' LLMs help with recs data creation?

  A nervous tourist, glances back and forth between their phone and the street sign. They then rotate their phone 180 degrees, pauses, blink and frown. The lost traveller, flags a nearby ‘local’ (the passer-by has a dog on a lead.   “Excuse me…” she squeaks, “How may I get to Tower Hill?” “Well, that’ s a good one” ponders the dog walker, “You know…” “Yes?” queries the tourist hopefully. “Yeah…” A long pause ensues then, “Well I wouldn’t start from here” He states confidently. The tourist almost visibly deflates and starts looking for an exit. That’s often how we start off in software testing. Despite the flood of methodologies, tips on pairing, power of three-ing, backlog grooming, automating, refining and all the other … ings ) We often find ourselves having to figure out and therefore ‘test’ a piece of software by us ing it. And that’s good. Its powerful, and effective if done right. But, like our dog walker, we can sometimes find ourselves somewhere unfamiliar...

What possible use could Gen AI be to me? (Part 1)

There’s a great scene in the Simpsons where the Monorail salesman comes to town and everyone (except Lisa of course) is quickly entranced by Monorail fever… He has an answer for every question and guess what? The Monorail will solve all the problems… somehow. The hype around Generative AI can seem a bit like that, and like Monorail-guy the sales-guy’s assure you Gen AI will solve all your problems - but can be pretty vague on the “how” part of the answer. So I’m going to provide a few short guides into how Generative (& other forms of AI) Artificial Intelligence can help you and your team. I’ll pitch the technical level differently for each one, and we’ll start with something fairly not technical: Custom Chatbots. ChatBots these days have evolved from the crude web sales tools of ten years ago, designed to hoover up leads for the sales team. They can now provide informative answers to questions based on documents or websites. If we take the most famous: Chat GPT 4. If we ignore the...