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Code Smell Detection Techniques and Process: A Review [PDF]

, 2018
A code smell is a hint that something has turned out badly some place in your code. The idea of code smells was introduced to characterize various different types of design shortcomings in code.
, Pratiksha Sharma, Er. Arshpreet Kaur
core  

Structural and biochemical insights into the thermostable esterase Ta0887 from Thermoplasma acidophilum

FEBS Open Bio, EarlyView.
In this study, a novel esterase from the thermoacidophilic archaeon Thermoplasma acidophilum was biochemically and structurally characterized. Our results demonstrate that Ta0887 is a highly thermostable esterase that preferentially hydrolyzes p‐nitrophenyl hexanoate and possesses an α‐helical cap domain that likely contributes to its substrate ...
Alejandro Delgado‐Rey, Miriam Livier Llamas‐García, Gabriela M. Montero‐Morán, Leticia Santos, Samuel Lara‐González   +4 more
wiley   +1 more source

Genetic dissection of human ABCE1 in yeast reveals separable requirements for ribosome recycling and suppression of aberrant reinitiation

FEBS Open Bio, EarlyView.
Human ABCE1 cannot functionally replace its yeast ortholog. Yeast–human chimera analysis identified NBD1 as a major interspecies barrier. Genetic screening yielded hABCE1 revertants that rescue yeast viability but fail to suppress aberrant translation reinitiation in the 3′ UTR.
Eriko Nakata, Yuxin Li, Kei Endo, Koichi Ito   +3 more
wiley   +1 more source

Evaluating Embedding Representations for Multiclass Code Smell Detection: A Comparative Study of CodeBERT and General-Purpose Embeddings

Applied Sciences
Code smells are indicators of potential design problems in software systems and are commonly used to guide refactoring activities. Recent advances in representation learning have enabled the use of embedding-based models for analyzing source code ...
Marcela Mosquera, Rodolfo Bojorque
doaj   +1 more source

Mining Version Histories for Detecting Code Smells

IEEE Transactions on Software Engineering, 2015
Code smells are symptoms of poor design and implementation choices that may hinder code comprehension, and possibly increase change- and fault-proneness. While most of the detection techniques just rely on structural information, many code smells are intrinsically characterized by how code elements change over time.
Fabio Palomba, Gabriele Bavota, Massimiliano Di Penta, Rocco Oliveto, Denys Poshyvanyk, Andrea De Lucia   +5 more
openaire   +1 more source

When code smells twice as much: Metric-based detection of variability-aware code smells [PDF]

2015 IEEE 15th International Working Conference on Source Code Analysis and Manipulation (SCAM), 2015
Code smells are established, widely used characterizations of shortcomings in design and implementation of software systems. As such, they have been subject to intensive research regarding their detection and impact on understandability and changeability of source code.
Wolfram Fenske, Sandro Schulze, Daniel Meyer, Gunter Saake   +3 more
openaire   +2 more sources

Mashail8/Code-Smells: Code Smell Taxonomy Research Materials

<p>Code Smell Taxonomy Research Materials</p> <p>This repository contains the materials used in the research study "A Novel Taxonomy to Capture Code Smells Caused by Refactoring".</p> <p>Contents</p> <p>
Code Smell Dataset
core   +1 more source

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani, Emmanuel Barbeau, Béatrice Lemesle, Emilie Milongo‐Rigal, Sophie Fernandez, Sandrine Charpentier, Jean‐François Albucher, Nicolas Raposo, Fabrice Bonneville, Patrice Péran, Jérémie Pariente   +10 more
wiley   +1 more source

Semantic code smell detection from raw source code using transformers with chunking and data augmentation

Machine Learning with Applications
Modern software development has become increasingly complex, leading to larger codebases and longer development cycles. To maintain code quality, developers often detect and address code smells through software refactoring, patterns in code that ...
Tiwat Werawatganon, Pittipol Kantavat
doaj   +1 more source

Characterizing and Detecting Duplicate Logging Code Smells [PDF]

2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), 2019
Software logs are widely used by developers to assist in various tasks. Despite the importance of logs, prior studies show that there is no industrial standard on how to write logging statements. Recent research on logs often only considers the appropriateness of a log as an individual item (e.g., one single logging statement); while logs are typically
openaire   +2 more sources