Estimating Complexity
Jason highlights the importance of using modified Fibonacci sequences for estimating task complexity, emphasizing that larger tasks often carry more uncertainty. Samuel adds that planning in shorter intervals can lead to greater certainty, aligning with agile principles that advocate for short cycles to enhance predictability in project management.In this clip
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Software Engineering Radio - the podcast for professional software developers
SE Radio 599: Jason C. McDonald on Quantified Tasks
Related Questions
Why do tasks take so much more time than expected, especially for developers, in the episode SE Radio 599: Jason C. McDonald on Quantified Tasks and the clip Measuring Development Effort?
Why do things take so much more time than expected, especially as a developer, as discussed in the episode The Pragmatic Programmer - How to Estimate and the clip Estimating Long Term Projects?
Why do things take so much more time than expected, especially as a developer, as discussed in the episode "The Pragmatic Programmer - How to Estimate" and the clip "Efficient Project Planning," as well as in episode #140: "Invest Your Time Like Money With Elizabeth Grace Saunders" and the clip "Project Time Estimation"?