Fault Prediction using Early Lifecycle Data

11 years 2 months ago
Fault Prediction using Early Lifecycle Data
The prediction of fault-prone modules in a software project has been the topic of many studies. In this paper, we investigate whether metrics available early in the development lifecycle can be used to identify fault-prone software modules. More precisely, we build predictive models using the metrics that characterize textual requirements. We compare the performance of requirements-based models against the performance of code-based models and models that combine requirement and code metrics. Using a range of modeling techniques and the data from three NASA projects, our study indicates that the early lifecycle metrics can play an important role in project management, either by pointing to the need for increased quality monitoring during the development or by using the models to assign verification and validation activities.
Yue Jiang, Bojan Cukic, Tim Menzies
Added 26 Oct 2010
Updated 26 Oct 2010
Type Conference
Year 2007
Authors Yue Jiang, Bojan Cukic, Tim Menzies
Comments (0)