Conceptual Differences Among Functional Size Measurement Methods

Kozlov, Denis; Koskinen, Jussi; Markkula, Jouni; Sakkinen, Markku

doi:10.1109/esem.2007.43

Cited by 21 publications

(12 citation statements)

References 4 publications

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“…The main differences between the methods arise based on how each method defines functional size, and thus BFCs and BFC Types, as well as the differences in the rules of measurement [14]. These are explained further in the following paragraphs.…”

Section: A Functional Size Measurement -Ifpug and Cosmic Fpmentioning

confidence: 99%

“…Even though FSM methods have a similar aim to measure the functional size attribute of FUR, they differ with respect to their measurement processes, how sub-attributes of functional size are measured and the rules and granularity level for measurement [14]. Therefore, even though traditionally all FSM methods state FP as the unit of measure, in fact, the reported measurements are not directly comparable.…”

Section: Introductionmentioning

confidence: 99%

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Exploring the Convertibility between IFPUG and COSMIC Function Points: Preliminary Findings

Gencel

Bideau

2012

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

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This paper presents the initial findings of an exploratory case study on the convertibility between IFPUG and COSMIC Function Points (FP). Even though a number of conversion approaches have been proposed in the literature, no single model has yet gained general acceptance by the software engineering community due to limits on model usage or other constraints. One major factor hindering the research in this area is the lack of available sizing data and thorough investigation of the factors affecting convertibility between the IFPUG and COSMIC FP. We conducted a case study in Capgemini UK Plc to explore these factors, seeking new insights and generating new hypothesis for further research. We found that 1) the proposed conversion approaches in the literature, which take transactional size as the input, did not work well for our case, 2) two significant determining factors appeared to be the existence of maximum limits on transaction complexity in the IFPUG method (which do not exist in the COSMIC method) and the differences between the rules of the methods when deciding whether a candidate entity would correspond to a logical file (in IFPUG) or a data group (in COSMIC).

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Section: A Functional Size Measurement -Ifpug and Cosmic Fpmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploring the Convertibility between IFPUG and COSMIC Function Points: Preliminary Findings

Gencel

Bideau

2012

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

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“…However, because our slicing is at the function level, we found it more appropriate to express size by counting the number of functions per slice as the function count (FC). First developed by Albrecht , several process standards based on functions such as the ISO/IEC 20968 and ISO/IEC 14143 have used functions to determine software size . Using the slices, we propose metrics that measure CC and FC to evaluate the complexity of code based on its impact at the function level.…”

Section: Background and Approachmentioning

confidence: 99%

Micro process analysis of maintenance effort: an open source software case study using metrics based on program slicing

Kula

Fushida

Yoshida

et al. 2012

J Software Evolu Process

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For any software project, most experts regard the maintenance phase as the most effort and cost intensive of all phases in the software development life cycle. This is due to the high maintenance effort, time, and resources needed to effectively address issues during software maintenance (maintenance activities). Mismanagement of these efforts can lead to the degradation of software maintainability. Understanding the assessment of the related software processes can help sustain or improve maintainability during these maintenance activities. Recent studies have shown that current software process assessments are expensive, generic, and complex, especially for smaller organizations. In this paper, we investigate an alternative software process assessment approach performed by analyzing fine-grained processes (micro processes) of maintenance activities. This approach assesses maintenance efforts based on micro processes in relation to their impact on source code. The approach derives maintenance effort from the complexity and duration of micro processes and uses proposed metrics based on program slicing to measure change impact. In this paper, we investigate an alternative software process assessment approach by analysing fine-grained processes (micro processes) of maintenance activities. At statistically significant levels, results suggest that the level of the maintenance efforts correlates with its impact on source code.

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“…A detailed discussion on the differences and similarities between these two methods can be found in [10].…”

Section: Fsm Methods Utilizedmentioning

confidence: 99%

“…In spite of these differences, they are expected to produce similar results as they are based on a set of shared principles. A number of research studies have been performed in order to clarify their conceptual basis and establish the common principles of FSM methods [8], [10], [13].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Entity Generalization on Software Functional Sizing: A Case Study

Türetken

Demirörs

Gencel

et al.

Product-Focused Software Process Improvement

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In this paper we discuss a specific result derived from a multiple case study. The case study involved implementation of IFPUG Function Point Analysis and COSMIC Functional Size Measurement methods in an innovative military software development project by different groups of experts. Application of these methods in a case that provides a number of size measurement challenges enabled us to observe significant improvement opportunities for the methodologies. In this paper, we depict the utilization of the entity generalization concept in two FSM methods and based on our observations we discuss the effects of different interpretations of the concept for measuring the software functional size.

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Conceptual Differences Among Functional Size Measurement Methods

Cited by 21 publications

References 4 publications

Exploring the Convertibility between IFPUG and COSMIC Function Points: Preliminary Findings

Exploring the Convertibility between IFPUG and COSMIC Function Points: Preliminary Findings

Micro process analysis of maintenance effort: an open source software case study using metrics based on program slicing

The Effect of Entity Generalization on Software Functional Sizing: A Case Study

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