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On the diffuseness and the impact on maintainability of code smells : a large scale empirical investigation. / Palomba, Fabio; Bavota, Gabriele; Penta, Massimiliano Di; Fasano, Fausto; Oliveto, Rocco; De Lucia, Andrea.

In: Empirical Software Engineering, 07.08.2017, p. 1-34.

Research output: Scientific - peer-reviewArticle

Harvard

Palomba, F, Bavota, G, Penta, MD, Fasano, F, Oliveto, R & De Lucia, A 2017, 'On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation' Empirical Software Engineering, pp. 1-34. DOI: 10.1007/s10664-017-9535-z

APA

Palomba, F., Bavota, G., Penta, M. D., Fasano, F., Oliveto, R., & De Lucia, A. (2017). On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation. Empirical Software Engineering, 1-34. DOI: 10.1007/s10664-017-9535-z

Vancouver

Palomba F, Bavota G, Penta MD, Fasano F, Oliveto R, De Lucia A. On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation. Empirical Software Engineering. 2017 Aug 7;1-34. Available from, DOI: 10.1007/s10664-017-9535-z

Author

Palomba, Fabio; Bavota, Gabriele; Penta, Massimiliano Di; Fasano, Fausto; Oliveto, Rocco; De Lucia, Andrea / On the diffuseness and the impact on maintainability of code smells : a large scale empirical investigation.

In: Empirical Software Engineering, 07.08.2017, p. 1-34.

Research output: Scientific - peer-reviewArticle

BibTeX

@article{230f66ba8c64410e899afcbeb9b8f190,
title = "On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation",
keywords = "Code smells, Empirical studies, Mining software repositories",
author = "Fabio Palomba and Gabriele Bavota and Penta, {Massimiliano Di} and Fausto Fasano and Rocco Oliveto and {De Lucia}, Andrea",
year = "2017",
month = "8",
doi = "10.1007/s10664-017-9535-z",
pages = "1--34",
journal = "Empirical Software Engineering",
issn = "1382-3256",
publisher = "Springer Netherlands",

}

RIS

TY - JOUR

T1 - On the diffuseness and the impact on maintainability of code smells

T2 - Empirical Software Engineering

AU - Palomba,Fabio

AU - Bavota,Gabriele

AU - Penta,Massimiliano Di

AU - Fasano,Fausto

AU - Oliveto,Rocco

AU - De Lucia,Andrea

PY - 2017/8/7

Y1 - 2017/8/7

N2 - Code smells are symptoms of poor design and implementation choices that may hinder code comprehensibility and maintainability. Despite the effort devoted by the research community in studying code smells, the extent to which code smells in software systems affect software maintainability remains still unclear. In this paper we present a large scale empirical investigation on the diffuseness of code smells and their impact on code change- and fault-proneness. The study was conducted across a total of 395 releases of 30 open source projects and considering 17,350 manually validated instances of 13 different code smell kinds. The results show that smells characterized by long and/or complex code (e.g., Complex Class) are highly diffused, and that smelly classes have a higher change- and fault-proneness than smell-free classes.

AB - Code smells are symptoms of poor design and implementation choices that may hinder code comprehensibility and maintainability. Despite the effort devoted by the research community in studying code smells, the extent to which code smells in software systems affect software maintainability remains still unclear. In this paper we present a large scale empirical investigation on the diffuseness of code smells and their impact on code change- and fault-proneness. The study was conducted across a total of 395 releases of 30 open source projects and considering 17,350 manually validated instances of 13 different code smell kinds. The results show that smells characterized by long and/or complex code (e.g., Complex Class) are highly diffused, and that smelly classes have a higher change- and fault-proneness than smell-free classes.

KW - Code smells

KW - Empirical studies

KW - Mining software repositories

UR - http://resolver.tudelft.nl/uuid:230f66ba-8c64-410e-899a-fcbeb9b8f190

UR - http://www.scopus.com/inward/record.url?scp=85026909182&partnerID=8YFLogxK

U2 - 10.1007/s10664-017-9535-z

DO - 10.1007/s10664-017-9535-z

M3 - Article

SP - 1

EP - 34

JO - Empirical Software Engineering

JF - Empirical Software Engineering

SN - 1382-3256

ER -

ID: 31444329