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Improvements to the Function Point Analysis Method: A Systematic Literature Review.

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Title: Improvements to the Function Point Analysis Method: A Systematic Literature Review.
Authors: de Freitas Junior, Marcos1, Fantinato, Marcelo1, Sun, Violeta1
Source: IEEE Transactions on Engineering Management. Nov2015, Vol. 62 Issue 4, p495-506. 12p.
Subjects: Function point analysis, Software engineering, Data analysis, Computer software, Algorithms
Abstract: Function point analysis (FPA) is a standardized method to systematically measure the functional size of software. This method is proposed by an international organization and it is currently recommended by governments and organizations as a standard method to be adopted for this type of measurement. This paper presents a compilation of improvements, focused on increasing the accuracy of the FPA method, which have been proposed over the past 13 years. The methodology used was a systematic literature review (SLR), which was conducted with four research questions aligned with the objectives of this study. As a result of the SLR, of the 1600 results returned by the search engines, 454 primary studies were preselected according to the criteria established for the SLR. Among these studies, only 18 specifically referred to accuracy improvements for FPA, which was the goal of this study. The low number of studies that propose FPA improvements might demonstrate the maturity of the method in the current scenario of software metrics. Specifically in terms of found issues, it was found that the step for calculating the functional size exhibited the highest number of problems, indicating the need to revise FPA in order to encompass the possible improvements suggested by the researchers. [ABSTRACT FROM PUBLISHER]
Copyright of IEEE Transactions on Engineering Management is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 110440063
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Engineering+Management%22">IEEE Transactions on Engineering Management</searchLink>. Nov2015, Vol. 62 Issue 4, p495-506. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Function+point+analysis%22">Function point analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Software+engineering%22">Software engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink>
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  Data: Function point analysis (FPA) is a standardized method to systematically measure the functional size of software. This method is proposed by an international organization and it is currently recommended by governments and organizations as a standard method to be adopted for this type of measurement. This paper presents a compilation of improvements, focused on increasing the accuracy of the FPA method, which have been proposed over the past 13 years. The methodology used was a systematic literature review (SLR), which was conducted with four research questions aligned with the objectives of this study. As a result of the SLR, of the 1600 results returned by the search engines, 454 primary studies were preselected according to the criteria established for the SLR. Among these studies, only 18 specifically referred to accuracy improvements for FPA, which was the goal of this study. The low number of studies that propose FPA improvements might demonstrate the maturity of the method in the current scenario of software metrics. Specifically in terms of found issues, it was found that the step for calculating the functional size exhibited the highest number of problems, indicating the need to revise FPA in order to encompass the possible improvements suggested by the researchers. [ABSTRACT FROM PUBLISHER]
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  Data: <i>Copyright of IEEE Transactions on Engineering Management is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1109/TEM.2015.2453354
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        Text: English
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        PageCount: 12
        StartPage: 495
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      – SubjectFull: Function point analysis
        Type: general
      – SubjectFull: Software engineering
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      – SubjectFull: Data analysis
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      – SubjectFull: Computer software
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      – SubjectFull: Algorithms
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      – TitleFull: Improvements to the Function Point Analysis Method: A Systematic Literature Review.
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              Text: Nov2015
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