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» A Model of Noisy Software Engineering Data (Status Report)
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ICSE
2010
IEEE-ACM
14 years 8 days ago
A degree-of-knowledge model to capture source code familiarity
The size and high rate of change of source code comprising a software system make it difficult for software developers to keep up with who on the team knows about particular parts...
Thomas Fritz, Jingwen Ou, Gail C. Murphy, Emerson ...
IUI
2011
ACM
12 years 10 months ago
Groups without tears: mining social topologies from email
As people accumulate hundreds of “friends” in social media, a flat list of connections becomes unmanageable. Interfaces agnostic to social structure hinder the nuanced sharin...
Diana MacLean, Sudheendra Hangal, Seng Keat Teh, M...
CIKM
2011
Springer
12 years 7 months ago
Improved answer ranking in social question-answering portals
Community QA portals provide an important resource for non-factoid question-answering. The inherent noisiness of user-generated data makes the identification of high-quality cont...
Felix Hieber, Stefan Riezler
ICSE
2011
IEEE-ACM
12 years 11 months 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
AII
1992
13 years 11 months ago
Learning from Multiple Sources of Inaccurate Data
Most theoretical models of inductive inference make the idealized assumption that the data available to a learner is from a single and accurate source. The subject of inaccuracies ...
Ganesh Baliga, Sanjay Jain, Arun Sharma