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DevOps and Software Testing.

Most of my recent work has been with DevOps teams. While in one sense DevOps is another evolution in software development. It also introduces some new skill requirements and responsibilities into the daily routine of a tester. These diagrams tend to confuse people, hence the video... I've created a short video to highlight some of these changes and the opportunities they bring. It's not an exhaustive view of DevOps but it gives a highlight of what you could be working with. While DevOps isn't a panacea to our software development problems, I have found that empowering teams with the ability to build and use the tools they need, can rapidly improve team morale and productivity.

Unicode Babel

I've written about the joys of Unicode and software development before . Using unexpected data in your testing is usually a good way to test for text encoding issues. Finding and fixing these those bugs early could save your team from a host of other related issues and hackery. Even if you don't expect to have unusual text content, this type of testing can help indicate if all your systems are configured consistently. Failure to do so can result in users seeing the dreaded Mojibake . Mojibake, when encoding goes bad I've recently created a python package for generating random Unicode codepoints so they can be incorporated easily into your automated tests and tools. It's called Unicode Babel , and can be used to create a simple iterator for supplying 'international' text to your app: from unicode_babel import tools, filters genny = tools.CodePointGenerator() for point in genny.random_codepoints( 10 , filters.filter_out_if_no_name) pr

As near as damn it.

It's 1982 and there's a bull market in the western stock exchanges. After being in the doldrums for 6 years the Dow Jones Industrial Average index is climbing steeply. In London, the FTSE 100  index is also witnessing a steady climb, despite the ongoing war in the South Atlantic. The rise in share prices also leads to an increase in the popularity and prominence of these stock 'indices', the algorithmically derived snapshots of leading stock prices, frequently, used as an indicator of overall market health. At that time a relatively small North American exchange decides to institute its own new index, allowing investors to discern, at a glance, the state of the market. The Vancouver Stock Exchange creates its index at an arbitrary 1000.0 starting value. The index value is then recalculated thousands of times a day as transactions are processed through the exchange. Fast forward to late 1983, western markets have continued to boom, stimulating sustained increa

Testing a maybe with machine learning.

“I figured it was just a jumbo jet.” My son and I shake our heads & then adopt blank stares as if a non-body-snatcher has been exposed in our midst. “Twin engine,” I utter, as I glance skyward again. “Single decker” My son adds as an explanation. “It’s a plane”, she retorts, rolling her eyes. My wife, (who is far smarter than myself) lacks my son and I’s ability to recognise aircraft. She has the typical persons ability to recognise aeroplanes. I grew up around airforce bases. I had a father who was an aircraft engineer. Years of exposure and explanations regarding aeroplanes, their mechanics and features. We took this to the next level... My son is an avid flight sim game player and has consumed many hours of relevant youtube material on the subject. He also had the luck/misfortune of me discussing the planes that frequent the skies, above us here, near London. Given our combined experience & expertise, we probably have a reasonable ability to reco

Betting in Testing

“I’ve completed my testing of this feature, and I think it's ready to ship” “Are you willing to bet on that?” No, Don't worry, I’m not going to list various ways you could test the feature better or things you might have forgotten. Instead, I recommend you to ask yourself that question next time you believe you are finished.  Why? It might cause you to analyse your belief more critically. We arrive at a decision usually by means of a mixture of emotion, convention and reason. Considering the question of whether the feature and the app are good enough as a bet is likely to make you use a more evidence-based approach. Testing is gambling with your time to find information about the app. Why do I think I am done here? Would I bet money/reputation on it? I have a checklist stuck to one of my screens, that I read and contemplate when I get to this point. When you have considered the options, you may decide to check some more things or ship the app

Software development is in the Doldrums

"Don't get off the boat." "Seriously, never get off the boat," The instructor said, leaning forward and looking at each of us in turn. "But surely if it's sinking..." We reply, somewhat confused and slightly incredulous. We've seen Titanic, we think to ourselves, we know how this sea survival stuff works... "OK" He concedes, If things get really bad, "Get on the life raft if you can step- up from the boat to the life raft". "But, But... the yacht is like 37ft long, Do we want to wait until that whole boat is lower than the life-raft? When less than 1ft of the yacht is above the surface? Meanwhile all the time the life raft is just there... floating happily alongside." "Pretty much, yes," he said nodding. The movie Apocalypse Now speaks the truth. That was about 15 years ago. Not much has changed since. The reasons are manifold. Firstly, the yacht is a decent shelter. The thin plastic

A h̶i̶t̶c̶h̶h̶i̶k̶e̶r̶'s̶ software tester's guide to randomised testing - Part 2

How would test a water sac? (Wow there, calm that tester brain... I know what you are thinking, Whats it used for? Who / what uses it? how long does it need to last? Does the temperature of the water matter?  Is it single use? etc. But let's assume a generic hiking or camping water sac for now) I'm guessing one of your suggestions includes filling it with water, shaking it a bit and checking for leaks. Seems kind of obvious right? but when it comes to software, we often do away with old-fashioned techniques such as filling something up and looking at it. Where's the machine learning test algorithm? Call this a BDD scenario? Can Selenium check for H₂0? I have to run this past the B.A... This is your software. We can treat randomly generated test data and inputs in much the same way as water . Data files or other inputs like user interactions are the ever-moving parts of our applications. Think about it, the code is entirely static - it's the state or data that i