Towards Adaptive Project Tracking using Individual Productivity Metrics

Author

Jun, Yu

Author_Institution

Zhejiang Gongshang Univ., Hangzhou

Volume

5

fYear

2007

fDate

19-22 Aug. 2007

Firstpage

2618

Lastpage

2622

Abstract

Quality and productivity are two of the most important factors in software development. Quality based software productivity improvement is essential for the software process improvement. In this paper, quality recognition mechanism and individual productivity metrics are suggested to avoid the large effort in typical measurement of productivity and quality in daily project. A framework using individual productivity metrics is designed to achieve adaptive software project tracking in legacy system reengineering projects.

Keywords

software development management; software metrics; software process improvement; software quality; individual software productivity metrics; project tracking; quality recognition mechanism; software development; software process improvement; Cybernetics; Feedback; ISO standards; Job shop scheduling; Machine learning; Productivity; Programming; Software quality; Software testing; System testing; Adaptive software project tracking; Extreme programming; Individual software productivity metrics; Software productivity; Software quality;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2007 International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-0973-0

Electronic_ISBN

978-1-4244-0973-0

Type

conf

DOI

10.1109/ICMLC.2007.4370590

Filename

4370590