About Steve McConnell

Steve McConnell has been a leading expert in software estimation, software measurement, and software engineering practices for more than 20 years. Most recently, he has used his expertise in data analysis, measurement, and forecasting to analyze and forecast Covid-19 data. His Covid-19 forecasts are included in the CDC's forecasting model. Steve is the author of Code Complete, which has been cited as the most popular software development book of all time. Readers of Software Development magazine named him one of the three most influential people in the software industry along with Bill Gates and Linus Torvalds. Steve’s most recent book is More Effective Agile: A Roadmap for Software Leaders. At Construx, he acts as CEO, founder, and Chief Software Engineer. Steve has served in numerous software industry roles, including Editor in Chief of IEEE Software magazine, Chair of the IEEE Computer Society’s Professional Activities Board, member of the Panel of Experts of the SWEBOK project, member of the Computer Science Advisory Board of Whitman College, chair of the Computer Science Advisory Board of Seattle University, and host of Construx’s annual Software Leadership Summit.

Estimate Review and Update 5/25/20

Estimation Review for 5/13 Estimates The estimates made on 5/13 are now complete so it's time to review how they did. Error is calculated using "Balanced relative Error (BRE)". This set of estimates was more accurate than the first set. Average error on the daily estimates was 24%, median was 17%, and 67% of Read more

By |2020-06-12T15:19:31+00:00May 25th, 2020|0 Comments

Estimate Review and Update 5/13/20

Estimation Review for 4/30 Estimates The estimates made on 4/30 are now complete so it's time to review how they did. Error is calculated using "Balanced relative Error (BRE)". Technique #1 did OK. Average error on the daily estimates was 33%, median was 19%, and 75% of the estimates were within 25% of actual Read more

By |2020-06-12T15:20:20+00:00May 13th, 2020|0 Comments

Estimates for Total US Deaths – Next 12 Days

I've been following the data long enough that it's time to make some estimates. These estimates are based on the observation that there is a 12-day lag between positive test results and deaths [Note: later this was updated to 13 days]. Based on the combination of positive tests 12 days earlier and an approximation Read more

By |2020-06-12T15:21:01+00:00May 2nd, 2020|0 Comments

17 Theses on Software Estimation (Expanded)

17 Theses on Software Estimation (Expanded) This post is part of an ongoing discussion with Ron Jeffries, which originated from some comments I made about #NoEstimates. You can read my original "17 Theses on Software Estimation" post here. That post has been completely subsumed by this post if you want to just read this one. You Read more

By |2020-06-27T00:32:14+00:00August 18th, 2015|0 Comments

17 Theses on Software Estimation

17 Theses on Software Estimation (with apologies to Martin Luther for the title) Arriving late to the #NoEstimates discussion, I’m amazed at some of the assumptions that have gone unchallenged, and I’m also amazed at the absence of some fundamental points that no one seems to have made so far. The point of this article Read more

By |2020-06-27T00:29:48+00:00August 2nd, 2015|0 Comments

#NoEstimates – Response to Ron Jeffries

#NoEstimates - Response to Ron Jeffries Ron Jeffries posted a thoughtful response to my #NoEstimates video. While I like some elements of his response, it still ultimately glosses over problems with #NoEstimates. I'll walk through Ron's critique and show where I think it makes good points vs. where it misses the point. Ron's First Remodel of my Kitchen Read more

By |2020-06-27T00:29:27+00:00July 31st, 2015|0 Comments
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