DocumentCode :
3230001
Title :
Statistical prediction modeling for software development process performance
Author :
Hao, Yan ; Zhang, Yu-feng
Author_Institution :
Comput. Sch., Wuhan Univ., Wuhan, China
fYear :
2011
fDate :
27-29 May 2011
Firstpage :
703
Lastpage :
706
Abstract :
With the advent of the information age and more intense competitions among IT companies, it is more important to assess the quality of software development processes and products by not only measuring outcomes but also predicting outcomes. On the basis of analysis and experiments about software development processes and products, a study of the process performance modeling has been conducted with statistical analyzing past and current process performance data. In this paper, we present a statistical prediction modeling for Software Development Process Performance. For predicting delivered defects effectively, a simple case study is illustrated, and several suggestions on planning and controlling management brought from this model are analyzed in detail. At the end, the conclusions with a discussion of future research consideration are pointed out in this paper.
Keywords :
Capability Maturity Model; software development management; software quality; statistical analysis; software development process quality performance; software product quality; statistical prediction modeling; Analysis of variance; Complexity theory; correlation analysis; process performance model (PPM); regression analysis; statistical prediction modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
Type :
conf
DOI :
10.1109/ICCSN.2011.6014187
Filename :
6014187
Link To Document :
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