Fault Prediction using Early Lifecycle Data (CROSBI ID 534594)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Jiang, Yue ; Cukic, Bojan ; Menzies, Tim
engleski
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.
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Podaci o prilogu
237-246.
2007.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 18th IEEE International Symposium on Software Reliability 2007
Kanoun, Karama ; Winther, Rune ; Torkar, Richard
Los Alamitos (CA) : Washington D.C. : Tokyo: Institute of Electrical and Electronics Engineers (IEEE)
978-0-7695-3024
Podaci o skupu
18th IEEE International Symposium on Software Reliability 2007
predavanje
05.11.2007-09.11.2007
Trollhättan, Švedska