@conference {950,
	title = {An extensive comparison of bug prediction approaches},
	booktitle = {2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010)2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010)},
	year = {2010},
	pages = {31 - 41},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Cape Town, South Africa},
	abstract = {Reliably predicting software defects is one of software engineering{\textquoteright}s holy grails. Researchers have devised and implemented a plethora of bug prediction approaches varying in terms of accuracy, complexity and the input data they require. However, the absence of an established benchmark makes it hard, if not impossible, to compare approaches. We present a benchmark for defect prediction, in the form of a publicly available data set consisting of several software systems, and provide an extensive comparison of the explanative and predictive power of well-known bug prediction approaches, together with novel approaches we devised. Based on the results, we discuss the performance and stability of the approaches with respect to our benchmark and deduce a number of insights on bug prediction models.},
	keywords = {apache, bug reports, eclipse, famix, lucene, mylyn, prediction, scm},
	isbn = {978-1-4244-6802-7},
	doi = {10.1109/MSR.2010.5463279},
	attachments = {https://flosshub.org/sites/flosshub.org/files/31dambrosLanzaRobbes31.pdf},
	author = {D{\textquoteright}Ambros, Marco and Lanza, Michele and Robbes, Romain}
}
