2008

Estimating Software-Development Costs With Greater Accuracy

COCOMOST is a computer program for use in estimating software development costs. The goal in the development of COCOMOST was to increase estimation accuracy in three ways: (1) develop a set of sensitivity software tools that return not only estimates of costs but also the estimation error; (2) using the sensitivity software tools, precisely define the quantities of data needed to adequately tune cost estimation models; and (3) build a repository of software-cost-estimation information that NASA managers can retrieve to improve the estimates of costs of developing software for their project (see figure).

COCOMOST implements a methodology, called “2cee,” in which a unique combination of well-known pre-existing data-mining and software-developmenteffort- estimation techniques are used to increase the accuracy of estimates. COCOMOST utilizes multiple models to analyze historical data pertaining to software- development projects and performs an exhaustive data-mining search over the space of model parameters to improve the performances of effort-estimation models. Thus, it is possible to both calibrate and generate estimates at the same time. COCOMOST is written in the C language for execution in the UNIX operating system.

This program was written by Tim Menzies and Dan Baker of West Virginia University and Jairus Hihn and Karen Lum of Caltech for NASA’s Jet Propulsion Laboratory.

This software is available for commercial licensing. Please contact Karina Edmonds of the California Institute of Technology at (626) 395-2322. Refer to NPO-44858.

This Brief includes a Technical Support Package (TSP).

Estimating Software-Development Costs With Greater Accuracy (reference NPO-44858) is currently available for download from the TSP library.

Please Login at the top of the page to download.

 

White Papers

SpaceClaim in Manufacturing
Sponsored by SpaceClaim
Plastic Electrical Enclosures – Solutions for Extreme Customization
Sponsored by Fibox
T&M Solutions for Software Defined Radios (SDR)
Sponsored by Rohde and Schwarz A and D
How Paper-based 3D Printing Works: The Technology and Advantages
Sponsored by Mcor Technologies
Managing Risk in Medical Connectors
Sponsored by Fischer Connectors
What They Didn’t Teach You in Engineering School About Heat Transfer
Sponsored by Mentor Graphics

White Papers Sponsored By: