Predicting fault incidence using software change history

This paper is an attempt to understand the processes by which software ages. We define code to be aged or decayed if its structure makes it unnecessarily difficult to understand or change and we measure the extent of decay by counting the number of faults in code in a period of time. Using change ma...

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Veröffentlicht in:IEEE transactions on software engineering 2000-07, Vol.26 (7), p.653-661
Hauptverfasser: Graves, T.L., Karr, A.F., Marron, J.S., Siy, H.
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Sprache:eng
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