Improving the Reliability of Function Point Measurement : An Empirical Study: October 1991 (Classic Reprint)

Improve how you measure software size and performance with a careful, data-driven look at Function Point counting. This book analyzes why FP counts can vary and how to tighten counting practices to make metrics more reliable. It presents findings from a two‑phase study that combines surveys and three detailed case studies to identify the main sources of counting variation and their real impact on results.

Readers will see concrete examples of how backup handling, menu structures, and external files influence FP counts, along with practical recommendations for standard counting practices. The work discusses reliability concerns in management and how better measurement supports budgeting, scheduling, and productivity evaluations.

• Why FP counts can differ between raters and how to reduce that variance


• Three case studies showing how specific counting decisions affect results


• Guidance on adopting standard FP counting practices in organizations


• Implications for using FP data in planning, control, and post-implementation reviews

Ideal for readers of software metrics, project management, and IT measurement who want practical guidance grounded in empirical study.