Podcast: Voting Machine Fail

We wind the clock back to November 2019 and investigate the failure of voting machines in Northampton County, Pa., USA. We break down what went wrong, what caused the problem and what we can learn about the risks of software development from this high profile incident.

The show notes and transcripts are available for free.

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Can Gen-AI understand Payments?

When it comes to rolling out updates to large complex banking systems, things can get messy quickly. Of course, the holy grail is to have each subsystem work well independently and to do some form of Pact or contract testing – reducing the complex and painful integration work. But nonetheless – at some point you are going to need to see if the dog and the pony can do their show together – and its generally better to do that in a way that doesn’t make millions of pounds of transactions fail – in a highly public manner, in production. (This post is based on my recent lightning talk at PyData London ) For the last few years, I’ve worked in the world of high value, real time and cross border payments, And one of the sticking points in bank [software] integration is message generation. A lot of time is spent dreaming up and creating those messages, then maintaining what you have just built. The world of payments runs on messages, these days they are often XML messages – and they ...

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...

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...

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