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Clone detection in test code

Boekbijdrage - Boekabstract Conferentiebijdrage

Ondertitel:an empirical evaluation
Duplicated test code (a.k.a. test code clones) has a negative impact on test comprehension and maintenance. Moreover, the typical structure of unit test code induces structural similarity, increasing the amount of duplication. Yet, most research on software clones and clone detection tools is focused on production code, often ignoring test code. In this paper we fill this gap by comparing four different clone detection tools (NiCad, CPD, iClones, TCORE) against the test code of three open-source projects. Our analysis confirms the prevalence of test code clones, as we observed between 23% and 29% test code duplication. We also show that most of the tools suffer from false negatives (NiCad = 83%, CPD = 84%, iClones = 21%, TCORE = 65%), which leaves ample room for improvement. These results indicate that further research on test clone detection is warranted.
Boek: 27th IEEE International Conference on Software Analysis, Evolution, and, Reengineering (SANER), FEB 18-21, 2020, London, CANADA
Pagina's: 492 - 500
ISBN:978-1-72815-143-4
Jaar van publicatie:2020
Trefwoorden:P1 Proceeding
BOF-keylabel:ja
Authors from:Higher Education
Toegankelijkheid:Closed