Applying enhanced graph clustering to software dependency analysis

Tolga Ovatman, Feza Buzluca, Thomas Weigert

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

2 Atıf (Scopus)

Özet

Dependencies between classes give key information about the static structure of an object oriented software system. For industrially sized systems it is difficult for the developer to visually analyze the dependencies between classes and to detect patterns of dependencies that frequently occur throughout UML class diagrams. In this paper, automatically detecting dependency patterns in software designs is focused. After applying graph clustering techniques to dependency graphs extracted from class diagrams it has been found that these techniques were not able to detect key dependency patterns An algorithm is proposed to detect such dependencieswhich also improves on the studied graph clustering techniques when applied to dependency analysis of class diagrams.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı19th International Conference on Software Engineering and Data Engineering 2010, SEDE 2010
Sayfalar210-216
Sayfa sayısı7
Yayın durumuYayınlandı - 2010
Etkinlik19th International Conference on Software Engineering and Data Engineering 2010, SEDE 2010 - San Francisco, CA, United States
Süre: 16 Haz 201018 Haz 2010

Yayın serisi

Adı19th International Conference on Software Engineering and Data Engineering 2010, SEDE 2010

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???event.eventtypes.event.conference???19th International Conference on Software Engineering and Data Engineering 2010, SEDE 2010
Ülke/BölgeUnited States
ŞehirSan Francisco, CA
Periyot16/06/1018/06/10

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