DocumentCode :
2041942
Title :
Improving dynamic calibration through statistical process control
Author :
Baldassarre, Maria Teresa ; Boffoli, Nicola ; Caivano, Danilo ; Visaggio, Giuseppe
Author_Institution :
Dept. of Informatics, Bari Univ., Italy
fYear :
2005
fDate :
26-29 Sept. 2005
Firstpage :
273
Lastpage :
282
Abstract :
Dynamic calibration (DC), presented by the authors in previous works has proved to be a flexible approach for massive maintenance software project estimation, able to recalibrate an estimation model in use according to relevant process performance changes pointed out by the project manager. Nevertheless, it results quite subjective in its application and tightly based on manager experience. In this work the authors present an improvement of the approach based on the use of statistical process control (SPC) technique. SPC is a statistically based method able to quickly highlight shift in process performances. It is well known in manufacturing contexts and it has recently emerged in the software engineering community. In this work, authors have integrated SPC in DC as decision support tool for identifying when recalibration of the estimation model must be carried out. This extension makes DC less "person-based", more deterministic and transferable in its use than the previous version. The extended approach has been experimented on industrial data related to a renewal project and the results compared with both, a concurrent approach such as analogy based estimation and its previous version. The results are encouraging and stimulate further investigation.
Keywords :
decision making; project management; software cost estimation; software maintenance; software performance evaluation; software process improvement; statistical process control; analogy based estimation; decision support tool; dynamic calibration; massive maintenance; software engineering community; software project estimation; statistical process control; Application software; Calibration; Costs; Informatics; Manufacturing; Process control; Project management; Software engineering; Software maintenance; Software performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Maintenance, 2005. ICSM'05. Proceedings of the 21st IEEE International Conference on
ISSN :
1063-6773
Print_ISBN :
0-7695-2368-4
Type :
conf
DOI :
10.1109/ICSM.2005.53
Filename :
1510123
Link To Document :
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