How Do Community Smells Influence Code Smells?

被引：10

作者：

Palomba, Fabio ^{[1
]}

Tamburri, Damian A. ^{[2
,5
]}

Serebrenik, Alexander ^{[2
]}

Zaidman, Andy ^{[3
]}

Fontana, Francesca Arcelli ^{[4
]}

Oliveto, Rocco ^{[5
]}

机构：

[1] Univ Zurich, Zurich, Switzerland

[2] Eindhoven Univ Technol, Eindhoven, Netherlands

[3] Delft Univ Technol, Delft, Netherlands

[4] Univ Milan, Bicocca, Italy

[5] Univ Molise, Molise, Italy

来源：

PROCEEDINGS 2018 IEEE/ACM 40TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING - COMPANION (ICSE-COMPANION | 2018年

关键词：

Code Smells; Organisational Structure; Community Smells;

D O I：

10.1145/3183440.3194950

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Code smells reflect sub-optimal patterns of code that often lead to critical software flaws or failure. In the same way, community smells reflect sub-optimal organisational and socio-technical patterns in the organisational structure of the software community. To understand the relation between the community smells and code smells we start by surveying 162 developers of nine open-source systems. Then we look deeper into this connection by conducting an empirical study of 117 releases from these systems. Our results indicate that community-related factors are intuitively perceived by most developers as causes of the persistence of code smells. Inspired by this observation we design a community-aware prediction model for code smells and show that it outperforms a model that does not consider community factors.

引用

页码：240 / 241

页数：2

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