A Case Study on the Conversion of Function Points into COSMIC

Ferrucci, Filomena; Gravino, Carmine; Sarro, Federica

doi:10.1109/seaa.2011.70

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…Moreover, the correlations in Table I and the accuracy measures of this study compared to the accuracy measures of previous studies, show that MIS convertibility studies were better-fit than the correlation reported in this study i.e. (RTS domain), and in [21] i.e. (web application domain), since that FPA method was never designed to measure RT applications or web applications.…”

Section: Discussionmentioning

confidence: 48%

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A Convertibility Study on the Conversion between FPA and COSMIC for Real Time Systems

Abualkishik

Selamat

Ghani

et al. 2012

2012 Joint Conference of the 22nd International Workshop on Software Measurement and the 2012 Seventh International Conference

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Function Point Analysis (FPA) measurement method was proposed primarily to measure the functional size of management information systems. The method has been criticized as an inadequate method to measure the functional size of Real Time (RT) applications. Many extensions have been made to the original method to extend its applicability to size RT applications. The Common Software Measurement International Consortium (COSMIC) designed COSMIC function point measurement method to meet the requirement of measuring a wider scope of software domains, particularly, RT applications. This paper aims to derive a convertibility equation between the two methods for small-size RT applications. A systematic conversion approach was applied using two types of conversion (using the unadjusted FPA size and transaction functions size) using 13 small-size RT applications, considering the quality of requirements, via linear and non-linear regression models. The results show that RT applications have a varied functional size for processes, in which FPA method could not quantify it adequately, mainly because of the FPA weighting system tables and the inadequate representation of data files. Moreover, the results show that there is a significant correlation between the two methods, but the conversion factor is slightly larger than the previous studies, in which the conversion factor is more than 1. However, some limitations of FPA method rules relative to RT applications cast some doubts on the possibility to extend the conversion for larger applications size.

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Section: Discussionmentioning

confidence: 48%

“…The type of application domain was not given in [17]. Another study identifies a conversion equation using industrial web applications [21] since the FPA method may fail to capture certain features of web applications, and so it will affect the effort/cost estimation.…”

Section: Related Workmentioning

confidence: 99%

A Convertibility Study on the Conversion between FPA and COSMIC for Real Time Systems

Abualkishik

Selamat

Ghani

et al. 2012

2012 Joint Conference of the 22nd International Workshop on Software Measurement and the 2012 Seventh International Conference

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“…We employed Ordinary Least-Squares Regression (OLSR) to build FPA-COSMIC conversion equations for our data set, as done in previous similar studies (e.g., [2] [7] [8] [17]) [10]. In particular, we exploited simple linear regression [25] to obtain a model as the one shown in equation 1, where CFP is the dependent variable and FP is the independent variable.…”

Section: B Employed Estimation Techniquementioning

confidence: 99%

Conversion from IFPUG FPA to COSMIC: Within-vs Without-Company Equations

Ferrucci

Gravino

Sarro

2014

2014 40th EUROMICRO Conference on Software Engineering and Advanced Applications

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Abstract-Companies have employed for years 1st generation Functional Size Measurement (FSM) methods, e.g., IFPUG Function Points Analysis (FPA), collecting IFPUGbased historical data useful for benchmarking and estimation purposes. With the advent of 2nd generation FSM methods (e.g., COSMIC) the need for resizing past projects utilizing these new measures arises. The adoption of 2nd generation FSM methods has been limited both by the costs for acquiring new know-how and the need for resizing the historical data. Conversion equations represent a useful mean to facilitate the migration towards 2nd generation FSM methods. Previous works showed a significant correlation between the COSMIC and the FPA sizes. In our study we applied the conversion equations found in those works (i.e., without-company equations) to resize 25 IFPUG-based projects coming from a single software company. We compared their use with respect to two conversion equations built by using two small subsets (i.e., 5 and 10 projects) from that company data (i.e., within-company equations). We aimed to verify whether the use of withincompany equations built using few projects could provide more accurate conversions than those achieved by applying withoutcompany equations. Our analysis revealed that the withincompany equations performed significantly better than the without-company ones. Thus, companies should develop their own equations rather than using without-company conversions.

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A Review Study on the Accuracy of Conversion Between IFPUG FPA and COSMIC Function Points

Abualkishik

2019

Smart Technologies and Innovation for a Sustainable Future

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A Case Study on the Conversion of Function Points into COSMIC

Cited by 5 publications

References 7 publications

A Convertibility Study on the Conversion between FPA and COSMIC for Real Time Systems

A Convertibility Study on the Conversion between FPA and COSMIC for Real Time Systems

Conversion from IFPUG FPA to COSMIC: Within-vs Without-Company Equations

A Review Study on the Accuracy of Conversion Between IFPUG FPA and COSMIC Function Points

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