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