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R0007/2026-03-19/C004/S01

Research R0007 — AI Made Everyone Faster
Run 2026-03-19
Claim C004
Search S01

WebSearch — Software engineering individual programmer variation Sackman through Oliveira

Summary

Field Value
Source/Database WebSearch
Query terms Sackman 1968 programmer performance variation; Oliveira 2023 software developer productivity log-normal
Filters None
Results returned 10
Results selected 3
Results rejected 7

Selected Results

Result Title URL Rationale
S01-R01 Construx: Productivity Variations https://www.construx.com/blog/productivity-variations-among-software-developers-and-teams-the-origin-of-10x/ Comprehensive overview of Sackman and subsequent studies
S01-R02 SEI: Programmer Moneyball https://www.sei.cmu.edu/blog/programmer-moneyball-challenging-the-myth-of-individual-programmer-productivity/ Critical perspective on variation claims
S01-R03 Duarte de Oliveira et al. 2023 https://www.sciencedirect.com/science/article/abs/pii/S0950584923000691 The 2023 study with 2.44x ratio finding

Rejected Results

Result Title URL Rationale
S01-R04 O'Reilly Making Software https://www.oreilly.com/library/view/making-software/9780596808310/ Book chapter, not directly accessible
S01-R05 IEEE Xplore 1968 paper https://ieeexplore.ieee.org/document/4056505/ Original Sackman paper, behind paywall
S01-R06 NEU course notes https://course.ccs.neu.edu/cs5500f14/ Course materials, not primary
S01-R07 ResearchGate productivity paper https://www.researchgate.net/publication/335535826 Different focus
S01-R08 Chris Parnin expertise paper http://chrisparnin.me/pdf/experts.pdf Tangential topic
S01-R09 Academia.edu variability paper https://www.academia.edu/17686833 Behind registration wall
S01-R10 10x productivity blog https://management.curiouscatblog.net/ Blog, not primary

Notes

Multiple independent sources confirm the pattern of large individual variation. The 2023 study's 2.44x figure matches the claim's "roughly 2.4x."