CAST User Group on Function Point Analysis: Key Findings


1On April 6th, CAST held a user group meeting on the topic of function point analysis and software productivity measurement. The meeting gathered more than 20 software measurement professionals from major companies in the banking, IT consulting, telecom, aviation and public sectors for a two-hour working session to discuss the benefits of function point analysis testing.

The event featured presentations including:

  1. An IBM case study on how they worked with CAST to integrate and secure an Automated Function Point (AFP) approach with a big player in the aeronautic sector within TMA Systems
  2. Functional sizing case study
  3. Updates on the new CISQ standards for Automated Function Points
  4. The importance of internal and external benchmarking

The IBM case study presented by Frédéric SCHMITT, Director of Software Quality / Automated Function Point Center of Excellence, was a key highlight from the user group meeting. Frédéric presented the client’s productivity journey to improve its application development team and vendor efficiency through more scalable measurement programs. IBM worked with the client to implement automated function point analysis counting methodology based on CAST, CISQ and OMG standards.

To support broader improvement initiatives, performance measurement, IT spending decisions and stronger vendor relationship management, IBM introduced a bonus-malus system based on Enhanced Function Points (EFP). The system effectively calculated on the ratio of productivity gain objectives against the productivity gains produced to incentivize both internal team members and IT vendors.

The takeaways from this meeting were:

  • How to reconcile the results of manual and automatic function point counting
  • How to engage teams around automated function point measurement
  • How to define common productivity metrics across companies

Participants walked away from the event with a keen understanding of the importance of software productivity measurement and the need for AFP education in the French market.

  This report describes the effects of different industrial factors on  structural quality. Structural quality differed across technologies with COBOL  applications generally having the lowest densities of critical weaknesses,  while JAVA-EE had the highest densities. While structural quality differed  slightly across industry segments, there was almost no effect from whether the  application was in- or outsourced, or whether it was produced on- or off-shore.  Large variations in the densities in critical weaknesses across applications  suggested the major factors in structural quality are more related to  conditions specific to each application. CRASH Report 2020: CAST Research on  the Structural Condition of Critical Applications Report
Open source is part of almost every software capability we use today. At the  very least libraries, frameworks or databases that get used in mission critical  IT systems. In some cases entire systems being build on top of open source  foundations. Since we have been benchmarking IT software for years, we thought  we would set our sights on some of the most commonly used open source software  (OSS) projects. Software Intelligence Report <> Papers
Making sense of cloud transitions for financial and telecoms firms Cloud  migration 2.0: shifting priorities for application modernization in 2019  Research Report
Michael Muller
Michael Muller Product Owner Cloud-Based Software Analytics & Benchmarking at CAST
Michael Muller is a 15-year veteran in the software quality and measurement space. His areas of expertise include code quality, technical debt assessment, software quality remediation strategy, and application portfolio management. Michael manages the Appmarq product and benchmark database and is part of the CAST Research Labs analysis team that generates the industry-renowned CRASH reports.
Load more reviews
Thank you for the review! Your review must be approved first
You've already submitted a review for this item