DocumentCode :
2272082
Title :
Tool supported detection and judgment of nonconformance in process execution
Author :
Zazworka, Nico ; Basili, Victor R. ; Shull, Forrest
Author_Institution :
Dept. of Comput. Sci., Univ. of Maryland, College Park, MD, USA
fYear :
2009
fDate :
15-16 Oct. 2009
Firstpage :
312
Lastpage :
323
Abstract :
In the past decades the software engineering community has proposed a large collection of software development life cycles, models, and processes. The goal of a major set of these processes is to assure that the product is finished within time and budget, and that a predefined set of functional and nonfunctional requirements (e.g. quality goals) are satisfied at delivery time. Based upon the assumption that there is a real relationship between the process applied and the characteristics of the product developed from that process, we developed a tool supported approach that uses process nonconformance detection to identify potential risks in achieving the required process characteristics. In this paper we present the approach and a feasibility study that demonstrates its use on a large-scale software development project in the aerospace domain. We demonstrate that our approach, in addition to meeting the criteria above, can be applied to a real system of reasonable size; can represent a useful and adequate set of rules of relevance in such an environment; and can detect relevant examples of process nonconformance that provide useful insight to the project manager.
Keywords :
software development management; software tools; aerospace domain; large-scale software development project; nonfunctional requirement; process execution; process nonconformance detection; software development life cycle; software engineering community; tool supported detection; Computer science; Computerized monitoring; Educational institutions; Environmental management; Large-scale systems; Programming; Project management; Software engineering; Software measurement; Software tools;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Empirical Software Engineering and Measurement, 2009. ESEM 2009. 3rd International Symposium on
Conference_Location :
Lake Buena Vista, FL
ISSN :
1938-6451
Print_ISBN :
978-1-4244-4842-5
Electronic_ISBN :
1938-6451
Type :
conf
DOI :
10.1109/ESEM.2009.5315983
Filename :
5315983
Link To Document :
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