ICS2001-11-01: Project Hackystat: Accelerating adoption of empirically guided software development through non-disruptive, developer-centric, in-process data collection and analysis - P. Johnson

Collection and analysis of empirical software project data is central to modern techniques for improving software quality, programmer productivity,and the economics of software project development. Unfortunately,effective collection and analysis of software project data is rare in mainstream software development. Prior research suggests that three primary barriers are: (1) cost: gathering empirical software engineering project data is frequently expensive in resources and time; (2) quality: it is often difficult to validate the accuracy of the data; and(3) utility: many metrics programs succeed in collecting data but fail to make that data useful to developers.This report describes Hackystat, a technology initiative and research project that explores the strengths and weaknesses of a developer-centric, in-process, and non-disruptive approach to validation of empirical software project data collection and analysis.

ICS2001-11-01.pdf — PDF document, 532Kb