Roberto Meli
Session:
“Effective software project management hinges on accurate effort and cost estimation, which in turn depends on a precise understanding of the Scope of Measurement. This abstract explores how the strategic application of the “”Scope”” concept within the International Function Point Users Group (IFPUG) Function Point Analysis (FPA) and Simple Function Point (SFP) methods can be leveraged to enhance estimation reliability.
The Scope of Measurement defines the specific subset of software functionalities—Functional User Requirements (FUR)—included in a size measurement to answer a particular business question. While standard sizing methods provide a product-oriented measure of functional size, they often only statistically account for approximately 70-75% of the actual project effort. To bridge this gap for economic valuation, the concept of the Corrected Functional Measure (CFM) is introduced.
The CFM utilizes the Scope concept to incorporate factors that traditional functional size measurement (FSM) might exclude or treat indirectly, such as software reuse, replication, and algorithmic complexity. By defining the counting scope to include these “”corrective”” elements, estimators can derive an effort-proportional size that remains compliant with the logical principles of ISO/IEC 14143-1.
To further streamline estimation, particularly in Agile development contexts, the scope can be restricted to a subset of Base Functional Components (BFCs). Empirical evidence suggests that the statistical difference in precision between estimates based on full FPA/SFP and those focusing exclusively on transactional BFCs (Elementary Processes – EP) is negligible. By ignoring logical data structures (Logical Files – LF) and focusing only on EPs, organizations can implement “”super-light”” measurement techniques. This reduces measurement overhead and aligns with Agile sprints, which are primarily oriented toward producing transactions, thereby providing a fast, overhead-free opportunity for the business without compromising statistical reliability.
By precisely aligning the Scope with the project’s actual production factors and utilizing the MFC or super-light transactional subsets, organizations can transform a purely functional size into a robust foundation for predicting person-days and overall costs. This methodology ensures that the estimation model is sensitive to both what the software does and the specific context in which it is produced.”