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Dead Code Detection On Class Level

Zusammenfassung

Many software systems contain usused code. While unused code is an unnecessary burden for maintenance, it is often unclear which parts of a modern software system can actually be removed. We present a semi-automatic, iterative, language-independent approach to identify unused classes in large objectoriented systems. It combines static and runtime information about an application and aids developers in identifying unused code in their system with high precision. A case study on three real-life systems shows its effectiveness and feasibility in practice.

Beschreibung

Streitel, Fabian; Steidl, Daniela; Jürgens, Elmar (2014): Dead Code Detection On Class Level. Softwaretechnik-Trends Band 34, Heft 2. Bonn: Geselllschaft für Informatik e.V.. PISSN: 0720-8928. Fachgruppenberichte: FG SRE und AK L2S2 - Berichte und Beiträge vom 16. Workshop „Software-Reengineering und -Evolution“ und 6. Workshop „Design for Future“, 28. - 30. April 2014 in Bad Honnef

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