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Are you smelling it? Investigating how similar developers detect code smells

https://doi.org/10.1016/j.infsof.2017.09.002

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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A review of code smell mining techniques

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Refactoring: Improving the Design of Existing Code

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Subjective evaluation of software evolvability using code smells: An empirical study

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An Empirical Study of the Impact of Two Antipatterns, Blob and Spaghetti Code, on Program Comprehension

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Investigating the Impact of Code Smells on System's Quality: An Empirical Study on Systems of Different Application Domains

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Do They Really Smell Bad? A Study on Developers' Perception of Bad Code Smells

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An Experience Report on Using Code Smells Detection Tools

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Proceedings 2004 International Symposium on Empirical Software Engineering

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An experiment on subjective evolvability evaluation of object-oriented software: explaining factors and interrater agreement

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Product Metrics for Automatic Identification of "Bad Smell" Design Problems in Java Source-Code

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A Bayesian Approach for the Detection of Code and Design Smells

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Identifying Code Smells with Multiple Concern Views

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DECOR: A Method for the Specification and Detection of Code and Design Smells

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Mining Version Histories for Detecting Code Smells

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Facilitating software refactoring with appropriate resolution order of bad smells

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Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement

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Using developers' feedback to improve code smell detection

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Code anomalies flock together

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Proceedings of the 24th international conference on Software engineering - ICSE '02

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What points at this work

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Bad smell detection using quality metrics and refactoring opportunities

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Code Smells Enabled by Artificial Intelligence: A Systematic Mapping

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Developers’ perception matters: machine learning to detect developer-sensitive smells

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Automatic detection of Long Method and God Class code smells through neural source code embeddings

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SmellDSL: A domain-specific language to assist developers in specifying code smell patterns

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A survey on code smells detection using machine learning techniques

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Investigating the Social Representations of Code Smell Identification: A Preliminary Study

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A Survey-Based Empirical Evaluation of Bad Smells in LabVIEW Systems Models

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Predicting Code Smells: A Comparative Study of Machine Learning Classifiers for God Class and Data Class

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REVEALING INTERACTING FACTORS IN DECAY OF SOFTWARE DESIGN

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Towards a Reliable Identification of Deficient Code with a Combination of Software Metrics

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