the process for establishing a metrics baseline is illustrated in Figure 25.3. Ideally, data needed to establish a baseline have been collected in an ongoing in an ongoing manner. sadly, this is rarely the case. Therefore, data collection requires an historical investigation of past projects to reconstruct data. Once measures have been collected (unquestionably the most difficult step), metrics computation is possibles. Depending on the breadth of measures collected, metrics can span a broad range of application-oriented metrics (e.g.,LOC,FP,object-oriented, WebApp) as well as other quality- and project-oriented metrics. Finally, metrics must be evaluated and applied during estimation, work, project control, and process improvement. evaluation focuses on the underlying reasons for the results obtained and produces a set of indicators that guide the project or process.