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SIGSOFT
2010
ACM
10 years 9 months ago
Software intelligence: the future of mining software engineering data
Mining software engineering data has emerged as a successful research direction over the past decade. In this position paper, we advocate Software Intelligence (SI) as the future ...
Ahmed E. Hassan, Tao Xie
ICSE
2007
IEEE-ACM
11 years 12 months ago
Mining Software Engineering Data
Software engineering data (such as code bases, execution traces, historical code changes, mailing lists, and bug databases) contains a wealth of information about a project's...
Tao Xie, Jian Pei, Ahmed E. Hassan
ISPE
2003
11 years 1 months ago
Application of data mining and intelligent agent technologies to concurrent engineering
: Software agent technology has matured enough to produce intelligent agents, which can be used to control a large number of concurrent engineering tasks. Multi-agent systems are c...
Pericles A. Mitkas, Andreas L. Symeonidis, Dionisi...
ESEM
2007
ACM
11 years 1 months ago
Mining Software Evolution to Predict Refactoring
Can we predict locations of future refactoring based on the development history? In an empirical study of open source projects we found that attributes of software evolution data ...
Jacek Ratzinger, Thomas Sigmund, Peter Vorburger, ...
COMPSAC
2006
IEEE
11 years 5 months ago
Data Structure and Algorithm in Data Mining: Granular Computing View
This paper discusses foundations of conventional style of rule mining in which rules are extracted from a data table. Rule mining mainly uses the structure of a table, data partit...
Shusaku Tsumoto
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