Local vs. global models for effort estimation and defect prediction

Local vs. global models for effort estimation and defect prediction

Data miners can infer rules showing how to improve either (a) the effort estimates of a project or (b) the defect predictions of a software module. Such studies often exhibit conclusion instability regarding what is the most effective action for different projects or modules.

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Bibliographische Detailangaben
Hauptverfasser: Menzies, Tim, Butcher, Andrew, Marcus, Andrian, Zimmermann, Thomas, Cok, David
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Context
Couplings
Data mining
defect/effort estimation
empirical SE
Estimation
Principal component analysis
Runtime
Software
USA Councils
validation
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Beschreibung
Zusammenfassung:Data miners can infer rules showing how to improve either (a) the effort estimates of a project or (b) the defect predictions of a software module. Such studies often exhibit conclusion instability regarding what is the most effective action for different projects or modules.
ISSN:1938-4300
2643-1572
DOI:10.1109/ASE.2011.6100072