Making Functional Similarity Count for More Reliable Effort Prediction Models

Date

2009-09-16

Author

Top, Ozden Ozcan
Demirörs, Onur
Turetken, Oktay

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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This paper evaluates the impact of functional similarities on the relation between functional size and software development effort. The estimation of the required effort cannot be achieved within reasonable limits at all times. We aimed to address this problem by considering functional similarities. Functional similarity is calculated for COSMIC measurement size results as adjusted functional sizes. The case study includes six cases. We discussed the challenges and the improvement opportunities of the method.

Subject Keywords

Effort estimation, Functional similarity, Functional size measurement, COSMIC, SiRFuS

URI

https://hdl.handle.net/11511/54379

Collections

Graduate School of Informatics, Conference / Seminar

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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...
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...
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 ...
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...
Exploration of an Error Prevention Model for COSMIC Functional Size Measurement Method Salmanoğlu, Murat; Demirörs, Onur (2012-10-19) The reliability of Functional size is crucial for effort and cost estimation in software development projects. However, estimation results may differ because of the errors made in the measurement process. This research proposes an error prevention model for COSMIC Functional Size Measurement method to increase the reliability of the measurements. The model has two main suggestions; first, to use the types of the functional processes during the measurement to prevent errors, and the second, to use a cardinal...

Citation Formats

O. O. Top, O. Demirörs, and O. Turetken, “Making Functional Similarity Count for More Reliable Effort Prediction Models,” 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54379.