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ICSE
2008
IEEE-ACM
14 years 5 months ago
Predicting defects using network analysis on dependency graphs
In software development, resources for quality assurance are limited by time and by cost. In order to allocate resources effectively, managers need to rely on their experience bac...
Thomas Zimmermann, Nachiappan Nagappan
PROMISE
2010
12 years 11 months ago
Defect cost flow model: a Bayesian network for predicting defect correction effort
Background. Software defect prediction has been one of the central topics of software engineering. Predicted defect counts have been used mainly to assess software quality and est...
Thomas Schulz, Lukasz Radlinski, Thomas Gorges, Wo...
ICSM
2008
IEEE
13 years 11 months ago
Supporting software evolution analysis with historical dependencies and defect information
More than 90% of the cost of software is due to maintenance and evolution. Understanding the evolution of large software systems is a complex problem, which requires the use of va...
Marco D'Ambros
SDM
2010
SIAM
213views Data Mining» more  SDM 2010»
13 years 6 months ago
Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization
We study the application of spectral clustering, prediction and visualization methods to graphs with negatively weighted edges. We show that several characteristic matrices of gra...
Jérôme Kunegis, Stephan Schmidt, Andr...
TSE
2008
113views more  TSE 2008»
13 years 4 months ago
Discovering Neglected Conditions in Software by Mining Dependence Graphs
Neglected conditions are an important but difficult-to-find class of software defects. This paper presents a novel approach for revealing neglected conditions that integrates stati...
Ray-Yaung Chang, Andy Podgurski, Jiong Yang