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