How Do Developers Toggle Breakpoints? Observational Studies. Petrillo, F., Mandian, H., Yamashita, A., Khomh, F., & Guéhéneuc, Y. In Nuñez, M., Dohi, T., & Bai, X., editors, Proceedings of the 3<sup>rd</sup> International Conference on Software Quality, Reliability, and Security (QRS), pages 285–295, July, 2017. IEEE CS Press. 10 pages.Paper abstract bibtex In software engineering, a smell is a part of a software system�s source code with a poor quality and that may indicate a deeper problem. Although many kinds of smells have been studied to analyze their causes, their behavior, and their impact on software quality, those smells typically are studied independently from each other. However, if two smells coincide inside a class, this could increases their negative effect (e.g., spaghetti code that is being cloned across the system). In this paper we report results from an empirical study conducted to examine the relationship between two specific kinds of smells: code clones and antipatterns. We conducted our study on three open-source software systems: Azureus, Eclipse, and JHotDraw. Results show that between 32% and 63% of classes in the analysed systems present co-occurrence of smells, and that such classes are more risky in term of fault-proneness.
@INPROCEEDINGS{Petrillo17-QRS-BreakpointToggling,
author = {Fabio Petrillo and Hyan Mandian and Aiko Yamashita and Foutse Khomh and Yann-Ga{\"e}l Gu{\'e}h{\'e}neuc},
title = {How Do Developers Toggle Breakpoints? Observational Studies},
booktitle = {Proceedings of the 3<sup>{rd}</sup> International Conference on Software Quality, Reliability, and Security ({QRS})},
year = {2017},
month = {July},
editor = {Manuel Nu{\~n}ez and Tadashi Dohi and Xiaoying Bai},
publisher = {IEEE CS Press},
note = {10 pages.},
abstract = {In software engineering, a smell is a part of a software system�s source code with a poor quality and that may indicate a deeper problem. Although many kinds of smells have been studied to analyze their causes, their behavior, and their impact on software quality, those smells typically are studied independently from each other. However, if two smells coincide inside a class, this could increases their negative effect (e.g., spaghetti code that is being cloned across the system). In this paper we report results from an empirical study conducted to examine the relationship between two specific kinds of smells: code clones and antipatterns. We conducted our study on three open-source software systems: Azureus, Eclipse, and JHotDraw. Results show that between 32\% and 63\% of classes in the analysed systems present co-occurrence of smells, and that such classes are more risky in term of fault-proneness.},
grant = {NSERC DG and CRC on Multi-language Systems},
keywords = {Understanding program comprehension ; QRS},
kind = {MISA},
language = {english},
url = {http://www.ptidej.net/publications/documents/QRS17a.doc.pdf},
pdf = {http://www.ptidej.net/publications/documents/QRS17a.ppt.pdf},
pages = {285--295}
}
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