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The Software Evolution project at the Software Engineering Chair, Saarland University, analyzes version and bug databases to predict failure-prone modules, related changes, and future development activities.
eRose is a plugin for Eclipse that guides programmers along related changes. If you change f() and other people have changed f() together with g() in the past, eRose will detect this and suggest "Programmers who changed function f() also changed function g()." All eRose needs is a CVS repository; we designed eRose to be as efficient and unobstrusive as possible.
Programmers who changed this function also changed...
If you browse the books at Amazon or a similar shop, you may have
encountered suggestions of this type: ``Customers who bought this book
also bought...'' Such findings stem from Amazon's purchase history:
Buying two books or more together establish a relationship between
these two books.
We realized a similar feature for software: "Programmers who
changed function X also changed function Y". For this purpose, we
analyze version histories of large software systems, trying to
identify commonalities and anomalities, and guiding the programmer in
understanding and maintenance.
- There will be an eROSE demonstration at OOPSLA 2005.
- 2005-05-11: New eROSE release: New features are
- support for multiple projects and a
- visualization of coupling with a preview release of the EPOsee pixelmap.
- 2005-04-11: Demonstration of eROSE at the CHOOSE Forum 2005 on
State of the Art in Tools for Managing Software Complexity.
- 2005-03-01: The alpha version 0.0.3 of eROSE is available for download. No new features, but more predictions and finally the source code!
- 2005-01-04: A new alpha version of eROSE is available for download. No new features, but a more stable preprocessing and enhanced update mechanism.
- 2005-01-04: We have created a small FAQ and an update site for eROSE. You can now use the Eclipse update manager to install and update eROSE from http://www.st.cs.uni-saarland.de/softevo/erose/update-site/
- 2004-12-29: An alpha version of eROSE is available for download.
- 2004-12-29: There is a getting started documentation for eROSE.
- Subscribe to the eROSE mailing list (see below) and you will be notified of future releases.
Mining Version Histories to Guide
Software Changes. T. Zimmermann, P. Weißgerber,
S. Diehl, A. Zeller. Saarland University, September 2003.
26th International Conference on Software Engineering (ICSE), Edinburgh, UK, May 2004.
We apply data mining to version histories in order to guide
programmers along related changes: "Programmers who changed these
functions also changed...". Given a set of existing changes, such
rules a) suggest and predict likely further changes,
b) show up item coupling that is indetectable
by program analysis, and
c) prevent errors due to incomplete changes.
Our evaluation shows after an initial change, our ROSE prototype can
correctly predict 26% of further files to be changed—and 15%
of the precise functions or variables. 30% of the suggested files
and 26% of the suggested functions or variables were correct
Discuss eROSE @ Google
<firstname.lastname@example.org> · http://www.st.cs.uni-saarland.de/softevo/erose/ · Stand: 2017-01-03 21:10