Formalization Studies in Functional Size Measurement: How Do They Help?

Date

2009-11-06

Author

Ozkan, Baris
Demirörs, Onur

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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 situation. In this paper, we make a review of formalization proposals to the problems in Functional Size Measurement (FSM). We analyze the works included in the papers and we explore the extent of their contributions.

Subject Keywords

Software functional size measurement, Functional size measurement methods, Formalization, Software models

URI

https://hdl.handle.net/11511/53676

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Graduate School of Informatics, Conference / Seminar

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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 ...
Reliability of COSMIC Functional Size Measurement Results: A Multiple Case Study on Industry Cases Top, Ozden Ozcan; Demirörs, Onur; Ozkan, Baris (2009-08-29) Accuracy of the functional size is critical in software project management, since functional size is the most prevalent input for effort and cost estimation models. Functional size measurement is performed based on standardized manuals; however, the accuracy of FSM results is still based on the knowledge and cautions of the measurers. In this study we performed a multiple case study to identify the reliability of COSMIC and to observe the frequently encountered errors during functional size measurement. Pro...
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...
Conceptual Association of Functional Size Measurement Methods Demirörs, Onur; Gencel, Cigdem (Institute of Electrical and Electronics Engineers (IEEE), 2009-05-01) Functional size determines how much functionality software provides by measuring the aggregate amount of its cohesive execution sequences. Alan Albrecht first introduced the concept in 1979. Since he originally described the function point analysis (FPA) method, researchers and practitioners have developed variations of functional size metrics and methods. The authors discuss the conceptual similarities and differences between functional size measurement methods and introduce a model for unification.
A Functional software measurement approach bridging the gap between problem and solution domains Ungan, Erdir; Demirörs, Onur; Department of Information Systems (2013) There are various software size measurement methods that are used in various stages of a software project lifecycle. Although functional size measurement methods and lines of code measurements are widely practiced, none of these methods explicitly position themselves in problem or solution domain. This results in unreliable measurement results as abstraction levels of the measured artifacts vary greatly. Unreliable measurement results hinder usage of size data in effort estimation and benchmarking studies. ...

Citation Formats

B. Ozkan and O. Demirörs, “Formalization Studies in Functional Size Measurement: How Do They Help?,” 2009, vol. 5891, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53676.