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TSE
2008
129views more  TSE 2008»
13 years 7 months ago
Classifying Software Changes: Clean or Buggy?
This paper introduces a new technique for predicting latent software bugs, called change classification. Change classification uses a machine learning classifier to determine wheth...
Sunghun Kim, E. James Whitehead Jr., Yi Zhang 0001
SIGSOFT
2007
ACM
14 years 8 months ago
Training on errors experiment to detect fault-prone software modules by spam filter
The fault-prone module detection in source code is of importance for assurance of software quality. Most of previous fault-prone detection approaches are based on software metrics...
Osamu Mizuno, Tohru Kikuno
ICSE
2001
IEEE-ACM
14 years 8 days ago
Functional Paleontology: System Evolution as the User Sees It
It has long been accepted that requirements analysis should precede architectural design and implementation, but in software evolution and reverse engineering this concern with bl...
Annie I. Antón, Colin Potts
SQJ
2008
74views more  SQJ 2008»
13 years 7 months ago
Quantitatively measuring object-oriented couplings
Abstract. One key to several quality factors of software is the way components are connected. Software coupling can be used to estimate a number of quality factors, including maint...
Jeff Offutt, Aynur Abdurazik, Stephen R. Schach
ICSE
2010
IEEE-ACM
13 years 9 months ago
Supporting developers with natural language queries
The feature list of modern IDEs is steadily growing and mastering these tools becomes more and more demanding, especially for novice programmers. Despite their remarkable capabili...
Michael Würsch, Giacomo Ghezzi, Gerald Reif, ...