Items related to Scale Economies in New Software Development (Classic...
Synopsis
Understand how scale affects software projects and where bigger isn’t always better.
This concise guide explains why productivity can rise with size on smaller projects and fall on very large ones, and how to find the most productive project size.
In this book, you’ll see how economists describe economies and diseconomies of scale in software development. It covers classic ideas like learning curves and specialized teams, plus modern methods that avoid rigid rules. The author blends theory with data from real project sets to show when increasing size helps and when it slows things down.- What scale means in software work and how it’s measured (inputs like effort and outputs like lines of code or function points).
- The concept of the most productive scale size (MPSS) and how it differs by organization.
- Parametric and nonparametric methods, including Data Envelopment Analysis (DEA), for estimating scale effects.
- How calendar duration and new staff on a team can influence productivity beyond project size.
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