Summary: Software Project Telemetry is a project management technique that uses software sensors to collect metrics automatically and unobtrusively. It then employs a domain-specific language to represent telemetry trends in software product and process metrics. Project management and process improvement decisions are made by detecting changes in telemetry trends and comparing trends between different periods of the same project. Software project telemetry avoids many problems inherent in traditional metrics models, such as the need to accumulate a historical project database and ensure that the historical data remains comparable to current and future projects.
Evaluation of software project telemetry provides evidence that it is an effective approach to (1) automated metrics collection and analysis, and (2) in-process, empirically-guided software development process problem detection and diagnosis. Two empirical studies were carried out to gather evidence: one in software engineering classes, and the other in the Collaborative Software Development Lab. The results suggested that software project telemetry had acceptably-low metrics collection and analysis overhead, and that it provided decision-making value at least in the exploratory context of the two studies.
Principal researcher(s): Cedric Zhang
Status: Active development 2003 – 2007.