Skip to main content

A simple test of time.

Last week I was performing another of my 5 minute testing exercises. As posted before, if I get a spare few minutes I pick something and investigate. This time, I'd picked Google Calendar.

One thing people use calendars for is logging what they have done. That is, they function as both schedulers and record keepers. You add what you planned to do, and they also serve as a record of what you did - useful for invoicing clients or just reviewing how you used your time.

Calendars and software based on them are inherently difficult to program and as such are often a rich source of bugs. People make a lot of assumptions about time and dates. For example that something ends after it starts.

That may sound like something that 'just is true', but there are a number of reasons why that might not be the case. Some examples are:
  • You type in the dates the wrong way round (or mix up your ISO and US dates etc)
  • You're working with times around a DST switch, when 30min after 0130h might be 0100h.
  • The system clock decides to correct itself, abruptly, in the middle of an action (A poorly implemented NTP setup could do this)
Google Calendar is widely used, and has been available for sometime, but I suspected bugs could still be uncovered quickly.


I opened Google Calendar, picked a time that day and added an item: Stuff i did. You can see it above in light-blue.


I then clicked on the item, and edited the date. But butter fingers here, typed in the wrong year. Not only that I type only the year in. So now we get to see how Google calendar handles an event ending before it begins.



Google Calendar appears to have deleted the date. OK, maybe its just deleting what [it assumes] is obviously wrong. But why the hour glass? () What was Google's code doing for so long?


A few moments later, after not being able to click on anything else in Google Calendar, I'm greeted with this:



OK, so if I click yes, thats good right? Otherwise won't I be disabling the Calendar code? A few moments later... The window goes blank...




A little later, the page reappears and you get another chance, and the Calendar starts to give you better warnings. But none-the-less that wasn't a good user experience, and certainly a bug.

These are simple to catch bugs, so I'm often left wondering why they are often present in widely used software that probably had considerable money expended in its development. This bug is quite repeatable and present across different browsers and operating systems. All it took was a little investigation.

Comments

Popular posts from this blog

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

Is your ChatBot actually using your data?

 In 316 AD Emperor Constantine issued a new coin,  there's nothing too unique about that in itself. But this coin is significant due to its pagan/roman religious symbols. Why is this odd? Constantine had converted himself, and probably with little consultation -  his empire to Christianity, years before. Yet the coin shows the emperor and the (pagan) sun god Sol.  Looks Legit! While this seems out of place, to us (1700 years later), it's not entirely surprising. Constantine and his people had followed different, older gods for centuries. The people would have been raised and taught the old pagan stories, and when presented with a new narrative it's not surprising they borrowed from and felt comfortable with both. I've seen much the same behaviour with Large Language Models (LLMs) like ChatGPT. You can provide them with fresh new data, from your own documents, but what's to stop it from listening to its old training instead?  You could spend a lot of time collating,

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 can be pa