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

共 50 条

[21] Do they Really Smell Bad? A Study on Developers' Perception of Bad Code Smells
Palomba, Fabio
Bavota, Gabriele
Di Penta, Massimiliano
Oliveto, Rocco
De Lucia, Andrea
2014 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION (ICSME), 2014, : 101 - 110
[22] Understanding code smells in Elixir functional language
Vegi, Lucas Francisco da Matta
Valente, Marco Tulio
EMPIRICAL SOFTWARE ENGINEERING, 2023, 28 (04)
[23] Bug Prediction Model using Code Smells
Ubayawardana, Gihan M.
Karunaratna, Damith D.
2018 18TH INTERNATIONAL CONFERENCE ON ADVANCES IN ICT FOR EMERGING REGIONS (ICTER) CONFERENCE PROCEEDINGS, 2018, : 70 - 77
[24] Detecting and refactoring code smells in spreadsheet formulas
Hermans, Felienne
Pinzger, Martin
van Deursen, Arie
EMPIRICAL SOFTWARE ENGINEERING, 2015, 20 (02) : 549 - 575
[25] Software Code Smells and Defects: An Empirical Investigation
Brown, Reuben
Greer, Des
PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON EVALUATION OF NOVEL APPROACHES TO SOFTWARE ENGINEERING, ENASE 2023, 2023, : 570 - 580
[26] Empirical Study on Code Smells in iOS Applications
Rahkema, Kristiina
Pfahl, Dietmar
2020 IEEE/ACM 7TH INTERNATIONAL CONFERENCE ON MOBILE SOFTWARE ENGINEERING AND SYSTEMS, MOBILESOFT, 2020, : 61 - 65
[27] Detecting Code Smells using Deep Learning
Das, Ananta Kumar
Yadav, Shikhar
Dhal, Subhasish
PROCEEDINGS OF THE 2019 IEEE REGION 10 CONFERENCE (TENCON 2019): TECHNOLOGY, KNOWLEDGE, AND SOCIETY, 2019, : 2081 - 2086
[28] Ranking architecturally critical agglomerations of code smells
Vidal, Santiago
Oizumi, Willian
Garcia, Alessandro
Diaz Pace, Andres
Marcos, Claudia
SCIENCE OF COMPUTER PROGRAMMING, 2019, 182 : 64 - 85
[29] Study of Code Smells: A Review and Research Agenda
Tandon, Stuti
Kumar, Vijay
Singh, V. B.
INTERNATIONAL JOURNAL OF MATHEMATICAL ENGINEERING AND MANAGEMENT SCIENCES, 2024, 9 (03) : 472 - 498
[30] Detecting Code Smells in Python']Python Programs
Chen, Zhifei
Chen, Lin
Ma, Wanwangying
Xu, Baowen
2016 INTERNATIONAL CONFERENCE ON SOFTWARE ANALYSIS, TESTING AND EVOLUTION (SATE 2016), 2016, : 18 - 23

← 1 2 3 4 5 →