Software Engineering Institute | Carnegie Mellon University
Software Engineering Institute | Carnegie Mellon University

Measurement & Analysis

Measurement and analysis helps organizations understand, manage, and improve their performance.

The SEI conducts research and provides guidance and expertise in software measurement and analysis.

  • Why measure? Because without data, you only have opinions.
  • Why analyze? Because the data you collect can't help you if you don't understand it and use it to shape your decisions.

What is software measurement and analysis?

Measurement and analysis involves gathering quantitative data about products, processes, and projects and analyzing that data to influence your actions and plans.

Measurement and analysis activities allow you to

  • characterize, or gain understanding of your processes, products, resources, and environments
  • evaluate, to determine your status with respect to your plans
  • predict, by understanding relationships among processes and products so the values you observe for some attributes can be used to predict others
  • improve, by identifying roadblocks, root causes, inefficiencies, and other opportunities for improvement

What does the SEI do to help?

The Software Engineering Measurement and Analysis (SEMA) initiative performs research to identify trends, improve existing solutions, and promote underused technologies.

We also develop and improve tools and methods used in measurement and analysis.

To accelerate the adoption of proven tools and methods, we provide case studies and work with organizations one-on-one to provide training and consulting.

Not sure where to start? See our getting started page or contact us.

Software Engineering Information Repository (SEIR)

The purpose of the SEIR is to provide a forum for the contribution and exchange of information concerning process improvement activities. Registered members of the SEIR can exchange questions or tips and contribute experiences or examples to assist each other with their implementation efforts. As a by-product of contributing this information, SEIR members are building a knowledge base in this repository for their future use.

Use of the repository is free, but visitors will need to register and receive a password in order to view the information. The repository includes the following categories: General Information, FAQ/News Groups, Benefits/Case Studies, and Implementation (including Lessons Learned).

Not Sure Where to Start?

The only sustainable competitive advantage you can achieve is to learn faster than your competitors. 

—David Kreutzer

Publications and Media

Upcoming Training

For classroom training, check back for updates on the 2018 schedule.

For online training, see our eLearning courses.

Software Sustainment

Modeling Software Sustainment
This article, published in CrossTalk (Jan./Feb. 2014), discusses an SEI research initiative to develop a model that shows the results of various investment decisions, allowing decision makers to see their effects and make adjustments before problems occur.

Dynamics of Software Sustainment
This article, forthcoming from the Journal of Aerospace Information Systems, describes the development of a dynamic economic model of sustainment to predict the consequences of funding decisions within sustainment organizations and provides initial results using notional input data.

The Business Case for Systems Engineering

The Business Case for Systems Engineering Study: Results of the Systems Engineering Effectiveness Survey
This report summarizes the results of a survey that aimed to quantify the connection between the application of best practices for systems engineering to projects and programs and the performance of those projects and programs.

The Business Case for Systems Engineering Study: Detailed Response Data
This report contains response data from The Business Case for Systems Engineering Study: Results of the Systems Engineering Effectiveness Survey. Analysis revealed strong relationships between project performance and best practices.

The Business Case for Systems Engineering Study: Assessing Project Performance from Sparse Data
This report describes the data collection and analysis process used to support the assessment of project performance for the systems engineering effectiveness study.

The Business Case for Systems Engineering: Comparison of Defense Domain and Non-Defense Projects
This report analyzes differences in systems-engineering activities for defense and non-defense projects and finds differences in both deployment and effectiveness.