APPropriate Behaviour
The book about all the things software writers do that aren't writing software.
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Author Archives: Graham
Ultimate Programmer Super Stack Reloaded
Remember remember the cough 6th of November, when APPropriate Behaviour joined a wealth of other learning material for software engineers in a super-discounted bundle called the Ultimate Programmer Super Stack? It’s happening again! This is a five-day flash sale, with … Continue reading
Posted in advancement of the self, books
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The Fragile Manifesto
A lot of what I’ve been reading and thinking about of late is about the agile backlash. More speed, lower velocity reflects on IT teams pursuing “deliver more/newer IT” at the cost of “help the company achieve its mission”. Grooming … Continue reading
Input-Output Maps are Strongly Biased Towards Simple Outputs
About this paper Input-Output Maps are Strongly Biased Towards Simple Outputs, Kamaludin Dingle, Chico Q. Camargo and Ard A. Louis, Nature Communications 9, 761 (2018). Notes On Saturday I went to my alma mater’s Morning of Theoretical Physics, which was … Continue reading
Posted in academia, AI
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HPC at FOSDEM 2019
This year’s FOSDEM featured an HPC, Big Data and Data Science devroom on the Sunday. This post is the first part of my notes on the topics presented there. If you are interested, book some time and let’s talk about … Continue reading
Posted in HPC
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How UX Practitioners Produce Findings in Usability Testing
The Paper How UX Practitioners Produce Findings in Usability Testing by Stuart Reeves, in ACM Transactions on Computer-Human Interaction, January 2019. Notes Various features of this paper make it a shoe-in for Research Watch. It is about the intersection between … Continue reading
Posted in academia, social-science, UI
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Grooming the Backfog
This is “Pub Walks in Warwickshire”. NEW EDITION, it tells me! This particular EDITION was actually NEW back in 2008. It’s no longer in print. Each chapter is a separate short walk, starting and finishing at a pub with a … Continue reading
Structured Pruning of Deep Convolutional Neural Networks
Structured Pruning of Deep Convolutional Neural Networks, Sajid Anwar et al. In the ACM Journal on Emerging Technologies in Computing special issue on hardware and algorithms for learning-on-a-chip, May 2017. Notes Quick, a software engineer mentions a “performance” problem to … Continue reading
Posted in academia, AI
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On the continuous history of approximation
The Difference Engine – the Charles Babbage machine, not the steampunk novel – is a device for finding successive solutions to polynomial equations by adding up the differences introduced by each term between the successive input values. This sounds like … Continue reading
HPC’s Shift to the Cloud
Timothy Prickett Morgan writes on The Next Platform about the slow but inevitable shift to cloudy infrastructure. It seems that a tipping point has been reached, where the amount of IT money spent on “cloudy” infrastructure overtook the amount spent … Continue reading
Posted in HPC
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The ABC of Software Engineering Research
About this paper The ABC of Software Engineering Research by Klaas-Jan Stol and Brian Fitzgerald, published October 2018. See link for full citation. Notes There are too many ways in which terms describing research methods in software engineering get used, … Continue reading
