DocumentCode :
1852272
Title :
Understanding the Value of Software Engineering Technologies
Author :
Green, P. ; Menzies, Tim ; Williams, Steven ; El-Rawas, Oussama
Author_Institution :
Lane Dept. of CS & EE, West Virginia Univ., Morgantown, VA, USA
fYear :
2009
fDate :
16-20 Nov. 2009
Firstpage :
52
Lastpage :
61
Abstract :
When AI search methods are applied to software process models, then appropriate technologies can be discovered for a software project. We show that those recommendations are greatly affected by the business context of its use. For example, the automatic defect reduction tools explored by the ASE community are only relevant to a subset of software projects, and only according to certain value criteria. Therefore, when arguing for the value of a particular technology, that argument should include a description of the value function of the target user community.
Keywords :
artificial intelligence; software engineering; AI search methods; ASE community; automatic defect reduction tools; business context; software engineering technologies; software process models; software projects subset; target user community; Appropriate technology; Artificial intelligence; Equations; Programming; Project management; Search methods; Software engineering; Space technology; Technology management; USA Councils; artificial intelligence; software economics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automated Software Engineering, 2009. ASE '09. 24th IEEE/ACM International Conference on
Conference_Location :
Auckland
ISSN :
1938-4300
Print_ISBN :
978-1-4244-5259-0
Electronic_ISBN :
1938-4300
Type :
conf
DOI :
10.1109/ASE.2009.93
Filename :
5431782
Link To Document :
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