Improving software development management through software project telemetry

Author

Johnson, Philip M. ; Kou, Hongbing ; Paulding, Michael ; Zhang, Qin ; Kagawa, Aaron ; Yamashita, Takuya

Author_Institution

Collaborative Software Dev. Lab., Hawaii Univ., Honolulu, HI, USA

Volume

22

Issue

4

fYear

2005

Firstpage

76

Lastpage

85

Abstract

Conventional wisdom in the software engineering research community says that metrics can make project management more effective. Software metrics range from internal product attributes such as size, complexity, and modularity to external process attributes such as effort, productivity, and reliability. Software project telemetry facilitates local, in-process decision making.

Keywords

decision making; project management; software development management; software metrics; in-process decision making; project management; software development management; software engineering research community; software metrics; software project telemetry; Best practices; Computerized monitoring; Decision making; Predictive models; Project management; Remote monitoring; Software development management; Software measurement; Software metrics; Telemetry; automated software metrics collection and analysis; software project telemetry;

fLanguage

English

Journal_Title

Software, IEEE

Publisher

ieee

ISSN

0740-7459

Type

jour

DOI

10.1109/MS.2005.95

Filename

1463212