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Selecting a Defect Prediction Model for Maintenance Resource Planning and Software Insurance

journal contribution
posted on 01.01.2003, 00:00 authored by Paul Luo Li, Mary Shaw, James Herbsleb

Better post-release defect prediction models could lead to better maintenance resource allocation and potentially a software insurance system. We examine a special class of software systems and analyze the ability of currently-available defect prediction models to estimate user-reported defects for this class of software, widely-used and multi-release commercial software systems. We survey currently available models and analyze their applicability to an example system. We identify the ways in which current models fall short of addressing the needs for maintenance effort planning and software insurance.

History

Date

01/01/2003