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10.1109/ICPC.2008.34guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Assessing Software Archives with Evolutionary Clusters

Published: 10 June 2008 Publication History

Abstract

The way in which a system's software archive is partitioned influences the evolvability of that system. The partition of a software archive, e.g. subsystem decomposition, is mostly assessed by looking at the static (include, call) relations between the parts. In the literature history information is also taken into account to assess the partition. In this paper we describe our history-based approach to (automatically) assess the extent in which a certain partition allows its parts to evolve independently. We use the assumption that software entities which co-evolved often in the past are likely to be modified together in the near future as well. Hence, the elements of such a set should in principle belong to the same part. Our approach, therefore, identifies sets of co-evolving software entities, where each set has elements from more than one part of the archive. We illustrate our approach with a case study of a large software system that evolved during more than a decade, and has over 7 million lines of code.

Cited By

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  • (2016)Automatic clustering of code changesProceedings of the 13th International Conference on Mining Software Repositories10.1145/2901739.2901749(61-72)Online publication date: 14-May-2016
  • (2015)Identifying related commits from software repositoriesInternational Journal of Computer Applications in Technology10.1504/IJCAT.2015.06933551:3(212-218)Online publication date: 1-May-2015
  • (2013)Supporting software architects to improve their software system's decomposition - lessons learnedJournal of Software: Evolution and Process10.1002/smr.57425:3(219-232)Online publication date: 1-Mar-2013

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Published In

cover image Guide Proceedings
ICPC '08: Proceedings of the 2008 The 16th IEEE International Conference on Program Comprehension
June 2008
280 pages
ISBN:9780769531762

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IEEE Computer Society

United States

Publication History

Published: 10 June 2008

Author Tags

  1. Assessment
  2. Evolutionary Cluster
  3. Software Archive
  4. Software Evolution

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Cited By

View all
  • (2016)Automatic clustering of code changesProceedings of the 13th International Conference on Mining Software Repositories10.1145/2901739.2901749(61-72)Online publication date: 14-May-2016
  • (2015)Identifying related commits from software repositoriesInternational Journal of Computer Applications in Technology10.1504/IJCAT.2015.06933551:3(212-218)Online publication date: 1-May-2015
  • (2013)Supporting software architects to improve their software system's decomposition - lessons learnedJournal of Software: Evolution and Process10.1002/smr.57425:3(219-232)Online publication date: 1-Mar-2013

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