On the Influence of Human Factors for Identifying Code Smells: A Multi-Trial Empirical Study

2017 ◽  
Author(s):  
Rafael Maiani de Mello ◽  
Roberto Oliveira ◽  
Alessandro Garcia
Keyword(s):  
Empirical Study ◽  
Human Factors ◽  
Code Smells ◽  
Identifying Code

scholarly journals Revealing Developers’ Arguments on Validating the Incidence of Code Smells: A Focus Group Experience

2021 ◽  
Author(s):  
Luis Felipi Junionello ◽  
Rafael de Mello ◽  
Roberto Oliveira ◽  
Leonardo Sousa ◽  
Alexander López ◽  
...  
Keyword(s):  
Focus Group ◽  
Tacit Knowledge ◽  
Automated Detection ◽  
Group Session ◽  
Focus Group Session ◽  
Code Smells ◽  
Identifying Code ◽  
Code Smell ◽  
Human Validation ◽  
Group Experience

Identifying code smells is considered a subjective task. Unfortunately, current automated detection tools cannot deal with such subjectivity, requiring human validation. Developers tend to follow different, albeit complementary, strategies when validating the identified smells. Intending to find out developers' arguments when validating the incidence of code smells, we conducted a focus group session with developers familiar with identifying code smells. We distributed them among two groups, in which they had to argue about the incidence of a code smell: either accepting or rejecting its presence. Based on their arguments, we compiled a set of general heuristics that developers follow when validating smells. We then used these heuristics for composing validation items. We understand that the set of validation items proposed may support developers in reflecting on the incidence of code smells. However, further studies are needed for reaching a more comprehensive and optimized set. The experience of this study reveals that conducting focus group sessions is helpful to emerge the tacit knowledge of developers when validating code smells.

On the Effectiveness of Concern Metrics to Detect Code Smells: An Empirical Study

2014 ◽  
pp. 656-671 ◽  
Author(s):  
Juliana Padilha ◽  
Juliana Pereira ◽  
Eduardo Figueiredo ◽  
Jussara Almeida ◽  
Alessandro Garcia ◽  
...  
Keyword(s):  
Empirical Study ◽  
Code Smells

Identifying Code Smells with Multiple Concern Views

2010 ◽  
Author(s):  
Glauco de F. Carneiro ◽  
Marcos Silva ◽  
Leandra Mara ◽  
Eduardo Figueiredo ◽  
Claudio Sant'Anna ◽  
...  
Keyword(s):  
Code Smells ◽  
Identifying Code

scholarly journals Code smells as system-level indicators of maintainability: An empirical study

2013 ◽  
Vol 86 (10) ◽  
pp. 2639-2653 ◽  
Author(s):  
Aiko Yamashita ◽  
Steve Counsell
Keyword(s):  
Empirical Study ◽  
System Level ◽  
Code Smells

A large-scale empirical study of code smells in JavaScript projects

2019 ◽  
Vol 27 (3) ◽  
pp. 1271-1314 ◽  
Author(s):  
David Johannes ◽  
Foutse Khomh ◽  
Giuliano Antoniol
Keyword(s):  
Empirical Study ◽  
Large Scale ◽  
Code Smells
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