The Impact of Individual Assumptions on Functional Size Measurement

Turetken, Oktay
Top, Ozden Ozcan
Ozkan, Baris
Demirörs, Onur
Having been improved, evolved and standardized by the Organization for Standardization (ISO), Functional Size Measurement (FSM) methods have become widely used. However, the measurers still face difficulties in measuring the software products which include unconventional components. We faced the challenge to observe if different interpretations or assumptions of the measurers cause significant differences in the measurement results. In this study, we present the results of a multiple case study we conducted in order to observe the impact of individual assumptions for well known FSM methods.


An experimental study on the conversion between IFPUG and COSMIC functional size measurement units
Cuadrado-Gallego, Juan J.; Buglione, Luigi; Dominguez-Alda, Maria J.; Fernandez de Sevilla, Marian; Antonio Gutierrez de Mesa, J.; Demirörs, Onur (2010-03-01)
The adoption of functional size measurement (FSM) methods in software organizations is growing. In particular, special attention is being paid to the COSMIC method, because of its novelties against 1st generation FSM methods such as IFPUG FPA. One of the main problems facing organizations wanting to use COSMIC is how to properly convert the software functional size of the projects in their portfolio measured by the previously adopted FSM method to the size measured by the new method.
On the Seven Misconceptions about Functional Size Measurement
ÖZKAN, BARIŞ; Demirörs, Onur (2016-10-07)
Among the various approaches to software size measurement, Functional Size Measurement has been widely recognized for its usability in early phases of software development cycles and its independence from implementation language, development method and technology. Starting from its introduction with the original Function Point Analysis method in 1979, functional size has been a favored input to estimation and productivity models. As a result of the search for solutions to emerging measurement needs and the ...
Evaluation of the Effect of Functional Similarities on Development Effort
Top, Ozden Ozcan; Tunalilar, Seckin; Demirörs, Onur (2008-09-05)
Although functional size is the primary input for effort and cost estimation formulas, the relation between functional size and development effort does not always hold in practice. Calculating the magnitude of functional similarity is perceived as a partial solution to overcome this problem. In this study we applied different approaches to identify the magnitude of functional similarity in five projects. The applicability of these approaches is evaluated by observing the impact of functional similarity on e...
Formalization Studies in Functional Size Measurement: How Do They Help?
Ozkan, Baris; Demirörs, Onur (2009-11-06)
Functional size has been favored as a software characteristic that can be measured early and independent of language, tools, techniques and technology: hence has many uses in software project management. It has been about three decades since Albrecht introduced the concept of functional size. However, Functional Size Measurement (FSM) has not been a common practice in the software community. The problems with FSM method structures and practices have been discussed to be the major factors to explain this sit...
Measureability of functional size in Agile software projects: Multiple case studies with COSMIC FSM
Hacaloglu, Tuna; Demirörs, Onur (2019-01-01)
Functional size measurement (FSM) has been used in software engineering for decades as a main driver for estimation and significant input for other various project management activities throughout the project life span. To apply FSM accurately at the early stages of software development process, especially for estimation purposes, functional user requirements need to be available in detail as required by the adopted FSM method. However, in agile software development, requirement specifications, in general, ...
Citation Formats
O. Turetken, O. O. Top, B. Ozkan, and O. Demirörs, “The Impact of Individual Assumptions on Functional Size Measurement,” 2008, vol. 5338, Accessed: 00, 2020. [Online]. Available: