Data Process and Analysis
Wego Wang · 2010
Data process and analysis in reverse engineering are composed of systematic assessment and quantitative evaluation. These are two independent yet interrelated processes. The assessment process identifies and collects relevant data from the earlier work through data acquisition. Data acquisition is a critical but tedious exercise in reverse engineering. In practice, engineers often collect as much data as they can for later analyses. The subsequent evaluation process collates, interprets, and analyzes the data obtained through assessment processes to draw statistical inferences and ensure quality performance of the new part produced by reverse engineering. All the raw data should be attained by creditable methods based on scientific and engineering principles whenever feasible. The reliance on anecdotal data by indirect estimation might lead to further uncertainty in later analyses.