DocumentCode
1151112
Title
Case studies of software-process-improvement measurement
Author
Paulish, Daniel J. ; Carleton, Anita D.
Author_Institution
Siemens Corp. Res. Inc., Princeton, NJ, USA
Volume
27
Issue
9
fYear
1994
Firstpage
50
Lastpage
57
Abstract
Describes an ongoing research project conducted jointly by Siemens and the Software Engineering Institute. Siemens software-development organizations in Germany and the United States are case-study sites at which we measure the effect of methods to improve the software-development process. To observe and quantify the impact of software-process improvement, we must measure the performance of a software-development organization over time. Comparison of performance across organizations is very difficult, since organizations define measures and collect performance data in different ways. However, we can separately track performance improvement in each organization if it defines measures consistently and develops similar products. We have defined basic measures for performance of a software-development organization. We limited ourselves to a small number of simple measures to reduce the complexity of collecting, analyzing, and maintaining the performance data. Improving the software-development process improves the quality of software products and the overall performance of the software-development organization. However, process is only one of several controllable factors in improving software quality and organization performance. Others include the skills and experience of the people developing the software, the technology used (e.g. CASE tools), product complexity, and environmental characteristics such as schedule pressure and communications.<>
Keywords
software metrics; CASE tools; Germany; Siemens software development organizations; Software Engineering Institute; USA; case studies; communications; controllable factors; data analysis; data collection; data maintenance; environmental characteristics; experience; organizational performance; performance improvement tracking; product complexity; product development; schedule pressure; skills; software process improvement measurement; software product quality; technology; Communication system control; Computer aided software engineering; Feedback; Organizations; Performance analysis; Productivity; Software engineering; Software performance; Software quality; Time measurement;
fLanguage
English
Journal_Title
Computer
Publisher
ieee
ISSN
0018-9162
Type
jour
DOI
10.1109/2.312039
Filename
312039
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