DocumentCode :
2401183
Title :
Empirical Study of Embedded Software Quality and Productivity
Author :
Siok, Michael F. ; Tian, Jeff
Author_Institution :
Lockheed Martin Aeronaut. Co., Fort Worth
fYear :
2007
fDate :
14-16 Nov. 2007
Firstpage :
313
Lastpage :
320
Abstract :
On a day-for-day basis, software managers struggle with the quality of the software process applied to their software engineering projects. Oftentimes the measurement and analysis needed to determine software process and product quality and to derive and set in motion strategic and tactical plans for the software organization are only partially conclusive. This paper provides a way for software organizations to study their software project data and characterize software productivity and product quality for individual projects and aggregates of software projects. Thirty-nine avionics software development projects are studied and results discussed. Armed with the results of these analyses, software managers can be more resolute in identifying specific candidate software engineering activities targeting key improvement areas - areas most likely to improve software productivity, reliability, and quality directly affecting the company software bottom line.
Keywords :
software management; software process improvement; software quality; software reliability; avionics software development project; embedded software quality; product quality; software company; software engineering activity; software engineering project; software organization; software process quality; software productivity; software reliability; Embedded software; Engineering management; Motion analysis; Motion measurement; Productivity; Project management; Quality management; Software engineering; Software measurement; Software quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Assurance Systems Engineering Symposium, 2007. HASE '07. 10th IEEE
Conference_Location :
Plano, TX
ISSN :
1530-2059
Print_ISBN :
978-0-7695-3043-7
Type :
conf
DOI :
10.1109/HASE.2007.67
Filename :
4404755
Link To Document :
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