Benchmarking to Improve Competitiveness
Software projects face many challenges, all of which can increase costs and decrease productivity. This presentation looks at the use of benchmarking, to improve the management and control of projects.
Comparing key project indicators to industry best practices.
Software projects face many challenges, all of which can increase costs and decrease productivity. This presentation looks at the use of benchmarking, to improve the management and control of projects.
This short report explains why the benchmarking of application development projects and teams is an important activity. It enables comparisons between your project and projects produced by industry leaders as a basis for improvement.
How would you like to have your project’s productivity benchmarked against the ISBSG Repository? This short paper explains how you can receive a free benchmark report, when you submit project data to the ISBSG repository.
One of the biggest problems in software development is the quality assurance of the delivered product. This depends directly on the testing process used. See how to improve testing processes with the use of market data.
Benchmarking enables: comparisons of productivity, quality, time to market, cost efficiency and project estimations.
Using the example of Toyota, we will learn the main practices that allow maximum digital transformation: benchmarking.
An objective of software benchmarking is to obtain a balanced approach to software development ensuring that important project factors are considered.
Pekka Forselius, Senior Advisor to FiSMA, examines ISBSG, a driving force behind the international standard for IT project performance benchmarking. Learn how benchmarking can be simplified to improve project performance.
Organizations should prioritize software investments. Better estimations enable limited resources to be used in the most efficient way.
Testing is an essential area of the software development lifecycle. Testing density can be measured and benchmarked. Learn how to measure tests, defects, test density and predict reliability.
