Easy Functional Sizing – the objective standard for agile teams!
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Language: en
Added: Jun 27, 2024
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Slide Content
The objectivestandard foragile teams
June6, 2024
Agenda
▪Reasons for a new method
▪Starting points
▪EFS Model
▪Publication roadmap
▪Standardization process
▪UvAresearch
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Authors:
Alexander Vermeulen Frank Vogelezang
Jolijn Onvlee Martin Jacobs
RichardSweer VincentBarth
WimVisser
Reasons for a new method
▪Widespread use of High Level Function Point Analysis
▪The FPA method according to Nesma 2.3 is perceived as complex
▪Better alignment with modern development approaches
▪Less debate about the differences between EO/EQ and ILF/ELF
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Starting points
▪In line with the High Level Function Point Analysis
▪Unit of measurement: function points
▪Comparable to the outcome of a High Level Counting
▪Based on ISO/IEC 24570:2018 —NESMA functional size measurement method —
Definitions and counting guidelines for the application of Function Point Analysis version 2.3
▪Maintain the same level of assessment
▪Easy to learn
▪Ready for ISO –certification
▪Existing benchmarks and tools remain usable
▪Suitable for agile environments (in combination with story points)
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EFS model
▪Only 4 pages with definitions and rules
▪3 Base Functional Components:
▪And 3 pages with guidelines
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Publication roadmap
Free accessible material, released by Nesma
▪June 2024 Dutch version 0.99 for field trials
▪July 2024 English version 0.99 for field trials
Field trial
▪June 21 EFS training in Utrecht
Commercially available material
▪Late 2024 EFS Book
▪2025? ISO/IEC standard
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Book publication
▪In cooperation with Van Haren publishing a book in 3 parts:
1.How to apply EFS
❑Embedding in the organization
❑Predictability
❑Shared view on predictability between business and IT
❑Roles involved
❑Where, when and how often to apply
2.The method (version 1.0)
3.Examples (based on the current FPA examples)
▪First publication will be in Dutch
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Standardization process
▪Version 0.99 (in English) is eligible to become an international
standard via the PAS procedure
▪PAS stands for Publicly Available Standard
▪Nesma is accredited to be a PAS submitter
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UvA research
▪9-week research for master students Requirements Engineering
▪Approach
▪Create a goal decomposition
▪Build scenarios
▪Test scenarios based on claims
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Authors:
Sander de Beet Joshua Turpijn
Daniel Berzak Linus Wagner
JorritKroes
Scenarios tested
Based on SUCCESS
1.Learning and Application
2.Ease of Use
3.Transparency
4.Continuous and Comparative
Based on FAILURE
5.Ambiguous
6.Hard to Learn
7.Deviation
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Conclusions
▪EFS seems like a good idea
▪Best applicable for:
▪Replacing relative measurements (continuous data-driven improvement)
▪Smaller companies (lack of training)
▪Consultancy (creating transparency)
▪Recommendations
▪Make sure that it is really easy to learn and apply
▪Further investigate outcome differences in applying the method
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For more info visit https://efs.nesma.org
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Compatibility EFS with high-level FPA
First analysis:
82,391 FP (Nesma high-level)
83,327 FP (EFS)
1.14% weighted difference
3.95% maximum difference
75% of the analysis volume
deviates less than 1.46%
Dataset
82 analyses
smallest analysis: 49 FP
largest analysis: 18,741 FP
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