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SIGSOFT
2008
ACM
16 years 6 months ago
Predicting failures with developer networks and social network analysis
Software fails and fixing it is expensive. Research in failure prediction has been highly successful at modeling software failures. Few models, however, consider the key cause of ...
Andrew Meneely, Laurie Williams, Will Snipes, Jaso...
WWW
2008
ACM
16 years 6 months ago
Contextual advertising by combining relevance with click feedback
Contextual advertising supports much of the Web's ecosystem today. User experience and revenue (shared by the site publisher ad the ad network) depend on the relevance of the...
Deepayan Chakrabarti, Deepak Agarwal, Vanja Josifo...
WWW
2007
ACM
16 years 6 months ago
Effort estimation: how valuable is it for a web company to use a cross-company data set, compared to using its own single-compan
Previous studies comparing the prediction accuracy of effort models built using Web cross- and single-company data sets have been inconclusive, and as such replicated studies are ...
Emilia Mendes, Sergio Di Martino, Filomena Ferrucc...
KDD
2003
ACM
205views Data Mining» more  KDD 2003»
16 years 5 months ago
The data mining approach to automated software testing
In today's industry, the design of software tests is mostly based on the testers' expertise, while test automation tools are limited to execution of pre-planned tests on...
Mark Last, Menahem Friedman, Abraham Kandel
ICSE
2005
IEEE-ACM
16 years 5 months ago
Use of relative code churn measures to predict system defect density
Software systems evolve over time due to changes in requirements, optimization of code, fixes for security and reliability bugs etc. Code churn, which measures the changes made to...
Nachiappan Nagappan, Thomas Ball