Scheduled System Maintenance on December 17th, 2014:
IEEE Xplore will be upgraded between 2:00 and 5:00 PM EST (18:00 - 21:00) UTC. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

The use of software quality metrics in the materiel release process experience report

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Saboe, M. ; US Army Tank-Automotive Command, Next Generation Software Eng. Life Cycle Support Activity, Warren, MI, USA

The US Army's Tank-Automotive Research Development and Engineering Center's Next Generation Software Engineering Life Cycle Support Activity (NextGen) is responsible for determining the suitability of software for release to the field. Determining the software is suitable for materiel release includes ensuring the software is safe, operationally suitable, and logistically supportable. The-Next Generation Team incorporates a thorough and well-defined process for evaluating software for materiel release that includes a detailed review of all documentation, a walk-through of a representative sample of source code, and the automated collection of several source code metrics using AdaSTATT, a commercially available software metrics tool for Ada. The metrics collected include source lines of code, cyclomatic and essential complexity, Halstead measures, and a maintainability index. Taken together, these metrics provide a valuable indication of the overall maintainability and supportability of the software. The metrics are presented using a Kiviat analysis, which provides a graphical display of the state of a module with respect to predefined limit values

Published in:

Quality Software, 2001. Proceedings.Second Asia-Pacific Conference on

Date of Conference:

2001