IFPUG Announces Two New Webinars!

October 10, 2022 New Features

The IFPUG Partnerships & Events Committee (PEC) is excited to invite you to attend the next two installments of the Knowledge Café Webinar series. We have secured two great pairs of speakers to present on topics that were developed based on some current initiatives that our impactful to our members and the function point community. Learn more about each below.

Analytics of the International Software Benchmarking Standards Group (ISBSG) Development and Enhancement Repository

Tuesday, October 18 at 8:00 am ET
Presented by Pierre Almén and Charley Tichenor

In early 2022, IFPUG completed a detailed statistical analysis of much of the data in the International Software Benchmarking Standards Group (ISBSG) Development and Enhancement Repository database and published the report.
This database contained high quality function point sizing and related data from over 4400 projects submitted internationally since 1989. IFPUG published a 61-page report detailing these descriptive and inferential statistics. The purpose of this presentation is to highlight some of these statistics and lessons learned. This information can be used by organizations to both serve as benchmarking data and to improve their software metrics programs.
The presentation will also cover the benefits IFPUG members have when buying and using ISBSG data repository. We will also show how to send your project data to ISBSG and what you get in return.
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The FP-Based ‘Productivity Paradox’

Thursday, November 10 at 9:00 am ET
Presented by Luigi Buglione and Carol Dekkers

In the late 1980s, Capers Jones wrote about the Paradox of Source Code Metrics hoping to stimulate organizations to adopt Function Point Analysis (FPA) as a preferred method of software sizing. Today, function point-based productivity has itself led to a “new” productivity paradox that presents challenges to data-based software estimation. This presentation describes these productivity paradoxes and outlines remedies and a most robust approach to software sizing in the future. If you want to know a bit more about this paradox, please register to this Knowledge Café (KC)!

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