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Evidence-based Software Engineering book: the last year

shape-of-code.com · published 5 November 2023

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http://knosof.co.uk/ESEUR/
knosof.co.uk
Evidence-based Software Engineering book: two years later Read at the source ↗
shape-of-code.com
https://discord.gg/DsZjWEXT
discord.gg
https://github.com/Derek-Jones/ESEUR-misc/tree/main/papers
github.com
https://shape-of-code.com/2016/06/10/finding-the-gold-nugget-papers-in-software-engineering-research/
shape-of-code.com
Understanding where one academic paper fits in the plot line Read at the source ↗
shape-of-code.com
https://openai.com/research/gpt-4v-system-card
openai.com
http://www.bitsavers.org/magazines/
bitsavers.org
Some human biases in conditional reasoning Read at the source ↗
shape-of-code.com
Unneeded requirements implemented in Waterfall & Agile Read at the source ↗
shape-of-code.com
Analysis of Cost Performance Index for 338 projects Read at the source ↗
shape-of-code.com
Evaluating Story point estimation error Read at the source ↗
shape-of-code.com
Analysis of when refactoring becomes cost-effective Read at the source ↗
shape-of-code.com
An evidence-based software engineering book from 2002 Read at the source ↗
shape-of-code.com
Perturbed expressions may ‘recover’ Read at the source ↗
shape-of-code.com
Predicting the size of the Linux kernel binary Read at the source ↗
shape-of-code.com
Benchmarking fuzzers Read at the source ↗
shape-of-code.com
Local variable naming: some previously unexplored factors Read at the source ↗
shape-of-code.com
Optimal function length: an analysis of the cited data Read at the source ↗
shape-of-code.com
Some data on the size of Cobol programs/paragraphs Read at the source ↗
shape-of-code.com
Hardware/Software cost ratio folklore Read at the source ↗
shape-of-code.com
Criteria for increased productivity investment Read at the source ↗
shape-of-code.com
Likelihood of encountering a given sequence of statements Read at the source ↗
shape-of-code.com
Design of the Whetstone benchmark Read at the source ↗
shape-of-code.com
Relative performance of computers from the 1950s/60s/70s Read at the source ↗
shape-of-code.com