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  1. Proceedings of the 2008 workshop on Defects in large software systems (DEFECTS '08)
  2. Comparing methods to identify defect reports in a change management database
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A report on a survey and study of static analysis users
A criterion for filtering code clone related bugs
Predicting fault-prone modules based on metrics transitions
Defect classification and defect types revisited
Exploring the relationship of history characteristics and defect count: an empirical study
Retrieving similar code fragments based on identifier similarity for defect detection
Can data transformation help in the detection of fault-prone modules?
Do bad smells indicate "trouble" in code?
The impact of product development on the lifecycle of defects
Nearest neighbor sampling for cross company defect predictors: abstract only
Comparing methods to identify defect reports in a change management database
SZZ revisited: verifying when changes induce fixes

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Comparing methods to identify defect reports in a change management database

Content Provider ACM Digital Library
Author Ostrand, Thomas J. Weyuker, Elaine J.
Abstract A key problem when doing automated fault analysis and fault prediction from information in a software change management database is how to determine which change reports represent software faults. In some change management systems, there is no simple way to distinguish fault reports from changes made to add new functionality or perform routine maintenance. This paper describes a comparison of two methods for classifying change reports for a large software system, and concludes that, for that particular system, the stage of development when the report was initialized is a more accurate indicator of its fault status than the presence of certain keywords in the report's natural language description.
Starting Page 27
Ending Page 31
Page Count 5
File Format PDF
ISBN 9781605580517
DOI 10.1145/1390817.1390825
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2008-07-20
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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