Title :
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
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;
Journal_Title :
Software, IEEE
