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# σ-driven project management: when is the optimal time to give up?

**[Erik Bernhardsson](https://daily.dev/sources/erikbernhardsson)** · 8 min read · 0 upvotes · 0 comments

## Summary

A mathematical model for software project management explores when it's optimal to abandon a project. Using log-normal distribution of project completion times, the key variable is σ (sigma), representing uncertainty. Low-σ projects (predictable work) should almost always be finished, while high-σ projects (research-like work) should be abandoned frequently. For example, at σ=1.0, give up at 320% of the original estimate and expect to finish 88% of projects; at σ=1.4, give up at just 72% of the estimate and expect to finish only 41% of projects. The post argues software is inherently high-σ because engineers continuously abstract and factor out predictable work, making estimation harder over time.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://erikbern.com/2022/04/05/sigma-driven-project-management-when-is-the-optimal-time-to-give-up.html>

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- [When to kill a software project](https://daily.dev/posts/when-to-kill-a-software-project-t7bneu327) · LeadDev · 21 upvotes · 3 comments

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