Volume

Dagstuhl Seminar Proceedings, Volume 5261



Publication Details

  • published at: 2006-05-05
  • Publisher: Schloss-Dagstuhl - Leibniz Zentrum für Informatik

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Document
05261 Abstracts Collection – Multi-Version Program Analysis

Authors: Thomas Ball, Stephan Diehl, David Notkin, and Andreas Zeller


Abstract
From 26.06.05 to 01.07.05, the Dagstuhl Seminar 05261 ``Multi-Version Program Analysis'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.

Cite as

Thomas Ball, Stephan Diehl, David Notkin, and Andreas Zeller. 05261 Abstracts Collection – Multi-Version Program Analysis. In Multi-Version Program Analysis. Dagstuhl Seminar Proceedings, Volume 5261, pp. 1-10, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2006)


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@InProceedings{ball_et_al:DagSemProc.05261.1,
  author =	{Ball, Thomas and Diehl, Stephan and Notkin, David and Zeller, Andreas},
  title =	{{05261 Abstracts Collection – Multi-Version Program Analysis}},
  booktitle =	{Multi-Version Program Analysis},
  pages =	{1--10},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5261},
  editor =	{Thomas Ball and Stephan Diehl and David Notkin and Andreas Zeller},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05261.1},
  URN =		{urn:nbn:de:0030-drops-5600},
  doi =		{10.4230/DagSemProc.05261.1},
  annote =	{Keywords: Software engineering, data mining, software processes, software archives, version control, bug database, experimentation, measurement, verification}
}
Document
05261 Summary – Multi-Version Program Analysis

Authors: Thomas Ball, Stephan Diehl, David Notkin, and Andreas Zeller


Abstract
Change is an inevitable part of successful software systems. Software changes induce costs, as they force people to repeat earlier assessments. On the other hand, knowing about software changes can also bring benefits, as changes are artifacts that can be analyzed. In the last years, researchers have begun to analyze software together with its change history. There is a huge amount of historical information that can be extracted, abstracted, and leveraged: - Knowing about earlier versions and their properties can lead to incremental assessments. - Analyzing the history of a product can tell how changes in software are related to other changes and features. - Relating properties to changes can help focusing on changes that cause specific properties. In this Dagstuhl seminar, researchers that analyze software and its history have met and discussed for a full week, exchanging their ideas, and combining and integrating the techniques to build a greater whole. Clearly, understanding history can play a major role when it comes to understand software systems.

Cite as

Thomas Ball, Stephan Diehl, David Notkin, and Andreas Zeller. 05261 Summary – Multi-Version Program Analysis. In Multi-Version Program Analysis. Dagstuhl Seminar Proceedings, Volume 5261, pp. 1-2, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2006)


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@InProceedings{ball_et_al:DagSemProc.05261.2,
  author =	{Ball, Thomas and Diehl, Stephan and Notkin, David and Zeller, Andreas},
  title =	{{05261 Summary – Multi-Version Program Analysis}},
  booktitle =	{Multi-Version Program Analysis},
  pages =	{1--2},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5261},
  editor =	{Thomas Ball and Stephan Diehl and David Notkin and Andreas Zeller},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05261.2},
  URN =		{urn:nbn:de:0030-drops-5591},
  doi =		{10.4230/DagSemProc.05261.2},
  annote =	{Keywords: Software engineering, data minig, software processes, software archives, version control, bug database, experimantation, measurement, verification}
}

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