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.
- Vollständige Referenz
- BibTeX
Streitel, F., Steidl, D. & Jürgens, E.,
(2014).
Dead Code Detection On Class Level.
Softwaretechnik-Trends Band 34, Heft 2.
Bonn:
Geselllschaft für Informatik e.V..
@inproceedings{mci/Streitel2014,
author = {Streitel, Fabian AND Steidl, Daniela AND Jürgens, Elmar},
title = {Dead Code Detection On Class Level},
booktitle = {Softwaretechnik-Trends Band 34, Heft 2},
year = {2014},
editor = {},
publisher = {Geselllschaft für Informatik e.V.},
address = {Bonn}
}
author = {Streitel, Fabian AND Steidl, Daniela AND Jürgens, Elmar},
title = {Dead Code Detection On Class Level},
booktitle = {Softwaretechnik-Trends Band 34, Heft 2},
year = {2014},
editor = {},
publisher = {Geselllschaft für Informatik e.V.},
address = {Bonn}
}
| Dateien | Groesse | Format | Anzeige | |
|---|---|---|---|---|
| wsre_dff_2014-22_submission_w1.pdf | 191.2Kb | Öffnen |
Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Feedback abschicken
Mehr Information
ISSN: 0720-8928
Datum: 2014
Sprache:
(en)
(en)
Typ: Journal Articles

