Benchmarking
Replay Now Available for QSM's High Performance Benchmark Consortium Webinar
Our recent webinar, "Introduction to the High Performance Benchmark Consortium," was a great success and we are already looking forward to planning our next presentation. Joe Madden received a lot of insightful questions regarding our new consulting program. We are aware that your time is valuable and scheduling can be a challenge, so we have recorded a replay, including Q&A, for anyone who was unable to attend the scheduled webinar.
High Performance Benchmark Consortium Webinar Announced
I am pleased to annouce that on Thursday, February 25 at 1:00 PM EST, QSM will be hosting a webinar based on our new High Performance Benchmark Consortium.
QSM has introduced a program specifically designed to help software development or acquisition organizations quantify and demonstrate performance improvement over time. The High Performance Benchmark Consortium is for clients who want to be best in class software producers and are willing to be active participants in the program. In today’s economic environment it is more important than ever for both suppliers and acquirers to compete more effectively and provide value to their customers. Members of the Consortium gain access to proprietary research that leverages the QSM historical benchmark database of over 8,000 validated software projects.
Presented by benchmarking expert and head of QSM Consulting, Joe Madden, this webinar will discuss:
Performance Benchmarking Tables
QSM consultant Paul Below has posted some quick performance benchmarking tables for IT, engineering class, and real time software.
The tables contain average values for the following metrics at various size increments:
Schedule (months)
Effort (Person Months)
Average Staff (FTE)
Mean Time to Defect (Days)
SLOC / PM
Two insights that jump out right away:
1. Application complexity is a big productivity driver. IT (Business) software solves relatively straightforward and well understood problems. As algorithmic complexity increases, average duration, effort, team size increase rapidly when compared to IT systems of the same size.
