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» Distributed Source Coding using Abelian Group Codes
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TSE
2008
129views more  TSE 2008»
13 years 8 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
ICSE
2011
IEEE-ACM
13 years 5 days ago
Miler: a toolset for exploring email data
Source code is the target and final outcome of software development. By focusing our research and analysis on source code only, we risk forgetting that software is the product of...
Alberto Bacchelli, Michele Lanza, Marco D'Ambros
MSR
2006
ACM
14 years 2 months ago
Mining large software compilations over time: another perspective of software evolution
With the success of libre (free, open source) software, a new type of software compilation has become increasingly common. Such compilations, often referred to as ‘distributions...
Gregorio Robles, Jesús M. González-B...
IPPS
2006
IEEE
14 years 2 months ago
Fault injection in distributed Java applications
In a network consisting of several thousands computers, the occurrence of faults is unavoidable. Being able to test the behaviour of a distributed program in an environment where ...
William Hoarau, Sébastien Tixeuil, Fabien V...
HEURISTICS
2002
65views more  HEURISTICS 2002»
13 years 8 months ago
Probability Distribution of Solution Time in GRASP: An Experimental Investigation
A GRASP (greedy randomized adaptive search procedure) is a multi-start metaheuristic for combinatorial optimization. We study the probability distributions of solution time to a su...
Renata M. Aiex, Mauricio G. C. Resende, Celso C. R...