Software project tracking software that uses statistical process control techniques to compare project plans to actuals and generate forecasts to completion.
SLIM-DataManager is a repository for completed project data that supports data analysis, identification of relationships and trends, and fact-based estimation.
Software project cost and schedule overruns remain a concern for many organizations. Measuring software size throughout the project lifecycle provides insights to reduce risk and improve project success.
This blog post shows how quantifying software size provides the necessary context for accurate software performance benchmarking and estimate validation.
The company’s employees combine creative problem-solving and decades of experience to analyze software project data and help turn it into sustainable success.
QSM’s philosophy is that understanding the software development process enables better algorithms for predicting and controlling software costs and lifecycles.