QSM provides unparalleled support throughout the product acquisition, installation, and implementation process.
For nearly five decades, QSM has helped organizations bring data-driven discipline to software project estimation, tracking, and benchmarking. Our methodology and tools turn project complexity into measurable, defensible outcomes.
In this webinar, Laura Zuber details how SLIM tools employ flexible project models to enable increased information analysis and sharing among stakeholders.
This paper presents the analysis of QSM's database of historical software projects, providing a high-level look at changes to software schedules, effort/cost, productivity, size, and reliability metrics from 1980 to 2019.
These studies of completed software projects in the QSM Database, aim to determine the optimal team size for productive and successful agile development projects.
Monitoring cost alone does not always show the full picture of why software projects fail, but tracking other metrics like work completed and duration enable early re-forecasting and course correction.
The QSM Almanac is a great resource for anyone involved in the planning, management, or budgeting of software and systems projects and portfolios.
The addition of machine learning capabilities allows the SLIM-Suite of tools to utilize historical project data in estimations more effectively.