Busting the Myths of Programmer Productivity

Software Engineering Institute (SEI) Webcast Series

Treść dostarczona przez Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

3+ y ago 54:21

MP4•Źródło odcinka

Are the great programmers really 10 times faster than the rest? What does this difference in productivity even mean? What productivity distribution should we expect between professionals? How can we use this knowledge? In this webcast, we make the most of a large set of programmer training data using repeated measures to explore these questions.

What attendees will learn:

• For routine tasks, professional programmers have a narrower range of productivity than we first supposed, but almost half of the variation in individual productivity is noise, making programmer rankings suspect.

• Rather than finding the “fastest” programmers, we should find competent people and give them the training and environment they need to succeed.

148 odcinków

#Tech #Cybersecurity #Securecoding #Softwarearchitecture #Softwaredevelopment #Softwareengineering #Carnegie Mellon University Software Engineering Institute #SEI Members of Technical Staff #Video #Podcasting Education