"Last week, a tweet by Stanford researcher Yegor Denisov-Blanch went viral within Silicon Valley. “We have data on the performance of >50k engineers from 100s of companies,” he tweeted. “~9.5% of software engineers do virtually nothing: Ghost Engineers.”

Denisov-Blanch said that tech companies have given his research team access to their internal code repositories (their internal, private Githubs, for example) and, for the last two years, he and his team have been running an algorithm against individual employees’ code. He said that this automated code review shows that nearly 10 percent of employees at the companies analyzed do essentially nothing, and are handsomely compensated for it. There are not many details about how his team’s review algorithm works in a paper about it, but it says that it attempts to answer the same questions a human reviewer might have about any specific segment of code, such as:

“How difficult is the problem that this commit solves?
How many hours would it take you to just write the code in this commit assuming you could fully focus on this task?
How well structured is this source code relative to the previous commits? Quartile within this list
How maintainable is this commit?”

Ghost Engineers, as determined by his algorithm, perform at less than 10 percent of the median software engineer (as in, they are measured as being 10 times worse/less productive than the median worker)."

https://www.404media.co/are-overemployed-ghost-engineers-making-six-figures-to-do-nothing/

#SoftwareDevelopment #GhostEngineers #Surveillance #Overemployment #Programming