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        <identifier>oai:drops-oai.dagstuhl.de:559</identifier>
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          <dc:title>05261 Summary – Multi-Version Program Analysis</dc:title>
          <dc:creator>Ball, Thomas</dc:creator>
          <dc:creator>Diehl, Stephan</dc:creator>
          <dc:creator>Notkin, David</dc:creator>
          <dc:creator>Zeller, Andreas</dc:creator>
          <dc:subject>Software engineering</dc:subject>
          <dc:subject>data minig</dc:subject>
          <dc:subject>software processes</dc:subject>
          <dc:subject>software archives</dc:subject>
          <dc:subject>version control</dc:subject>
          <dc:subject>bug database</dc:subject>
          <dc:subject>experimantation</dc:subject>
          <dc:subject>measurement</dc:subject>
          <dc:subject>verification</dc:subject>
          <dc:description>Change is an inevitable part of successful software systems. Software changes&#13;
induce costs, as they force people to repeat earlier assessments. On the&#13;
other hand, knowing about software changes can also bring benefits, as&#13;
changes are artifacts that can be analyzed.&#13;
In the last years, researchers have begun to analyze software together with&#13;
its change history. There is a huge amount of historical information that&#13;
can be extracted, abstracted, and leveraged:&#13;
- Knowing about earlier versions and their properties can lead to incremental&#13;
assessments.&#13;
- Analyzing the history of a product can tell how changes in software&#13;
are related to other changes and features.&#13;
- Relating properties to changes can help focusing on changes that cause&#13;
specific properties.&#13;
In this Dagstuhl seminar, researchers that analyze software and its history&#13;
have met and discussed for a full week, exchanging their ideas, and combining&#13;
and integrating the techniques to build a greater whole. Clearly,&#13;
understanding history can play a major role when it comes to understand&#13;
software systems.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Thomas Ball and Stephan Diehl and David Notkin and Andreas Zeller</dc:contributor>
          <dc:date>2006</dc:date>
          <dc:relation>Is Part Of Dagstuhl Seminar Proceedings, Volume 5261, Multi-Version Program Analysis (2006)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:format>application/pdf</dc:format>
          <dc:identifier>doi:10.4230/DagSemProc.05261.2</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-5591</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05261.2</dc:identifier>
          <dc:language>eng</dc:language>
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