Scheduled System Maintenance:
On May 6th, system maintenance will take place from 8:00 AM - 12:00 PM ET (12:00 - 16:00 UTC). During this time, there may be intermittent impact on performance. We apologize for the inconvenience.
By Topic

Managing Software Development Projects for Maximum Productivity

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)
Howes, Norman R. ; Brown & Root, Inc., P. O. Box 3, Houston, TX 77001.

In the area of software development, data processing management often focuses more on coding techniques and system architecture than on how to manage the development. In recent years, ``structured programming'' and ``structured analysis'' have received more attention than the techniques software managers employ to manage. Moreover, these coding and architectural considerations are often advanced as the key to a smooth running, well managed project. This paper documents a philosophy for software development and the tools used to support it. Those management techniques deal with quantifying such abstract terms as ``productivity,'' ``performance,'' and ``progress,'' and with measuring these quantities and applying management controls to maximize them. The paper also documents the application of these techniques on a major software development effort.

Published in:

Software Engineering, IEEE Transactions on  (Volume:SE-10 ,  Issue: 1 )