An exploratory study on functional size measurement based on code

Conference Paper (2016)
Author(s)

Hennie Huijgens (Goverdson, TU Delft - Software Engineering)

M Bruntink (Software Improvement Group)

A van Deursen (TU Delft - Software Technology)

Tijs Van Der Storm (Centrum Wiskunde & Informatica (CWI))

Frank Vogelezang (Ordina, COSMIC)

Department
Software Technology
Copyright
© 2016 H.K.M. Huijgens, M Bruntink, A. van Deursen, Tijs Van Der Storm, Frank Vogelezang
DOI related publication
https://doi.org/10.1145/2904354.2904360
More Info
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Publication Year
2016
Language
English
Copyright
© 2016 H.K.M. Huijgens, M Bruntink, A. van Deursen, Tijs Van Der Storm, Frank Vogelezang
Department
Software Technology
Pages (from-to)
56-65
ISBN (electronic)
9781450341882
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

In this paper we explore opportunities, challenges, and obstacles that Functional Size Measurement (FSM) experts assume to be in automatically derived functional size, directly from the software project code itself. We designed a structured survey, that was answered by 336 FSM specialists. A majority of the respondents consider FSM to be an important tool for decision making. No indications are found for any perceived impact of agile methodology on the difficulty of applying FSM. Respondents overall think of automated FSM as important, but also difficult to realize. 54% of the respondents think that automated FSM will help measurement specialists, while 44% thinks that it will help decision makers too. The most preferred FSM method for automation is COSMIC (25%), followed by IFPUG (21%) and Nesma (16%). Respondents perceive automated FSM to be most suitable for baselining, benchmarking, and maintenance and legacy purposes.

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