Denisov-Blanch states that 'Software engineering is a black box. Nobody knows how to measure software engineers' performance. Existing measures are unreliable because they rate equal work differently.' He emphasizes the need for a more nuanced and fair approach to performance evaluation that considers complexity and maintainability of the code.
'Ghost engineers' are identified as those who produce only 10% of what their median colleague does, representing about 9.5% of coders. This presents a significant concern for tech companies trying to optimize productivity.
The Stanford research underscores a shift in the tech industry, highlighting an intense scrutiny on output and performance. As Denisov-Blanch puts it, 'It's not fair when someone's doing a very complicated change that's only one line of code... and the person doing the very simple change that's 1,000 lines gets rewarded.'
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