Improving Software Development Management through Software Project Telemetry

Authors:
Philip M. Johnson;Hongbing Kou;Michael Paulding;Qin Zhang;Aaron Kagawa;Takuya Yamashita
Affiliations:
University of Hawaii;University of Hawaii;University of Hawaii;University of Hawaii;University of Hawaii;University of Hawaii
Venue:
IEEE Software
Year:
2005

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Abstract

Software project telemetry is a new approach to software project management in which sensors are attached to development environment tools to unobtrusively monitor the development process and products. This sensor data is abstracted into high-level perspectives on development trends called telemetry reports, which give project members useful insights for local, in-process decision making. This article presents software project telemetry's essential characteristics, contrasts it to other approaches such as predictive models based upon historical software project data, describes a reference framework implementation called Hackystat, and presents the authors' lessons learned so far.