Results 41 to 50 of about 18,914 (252)
Can Public Code Smells Datasets Be Trusted?
Journal of Communications Software and SystemsCode smells signal potential issues in a codebase andindicate technical debt. Early detection is crucial for maintaining code quality. Researchers often rely on public datasets to automate and enhance smell detection, but their trustworthiness is ...
Ruchin Gupta +3 more
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Code smell detection based on multi-agent collaboration and large language models
上海师范大学学报. 自然科学版This paper proposes a code smell detection method based on multi-agent and large language model (LLM) collaboration. Previous studies only focused on detecting samples known to have smells. This study restores and incorporates non-code smell samples from
LIU Changlin, WU Haitao
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Detecting code smells in spreadsheet formulas
2012 28th IEEE International Conference on Software Maintenance (ICSM), 2012 Spreadsheets are used extensively in business processes around the world and just like software, spreadsheets are changed throughout their lifetime causing maintainability issues. This paper adapts known code smells to spreadsheet formulas. To that end we present a list of metrics by which we can detect smelly formulas and a visualization technique to ...
Felienne Hermans +2 more
openaire +4 more sources
Design and Implementation of a Web-Based Application for Code Smells Repository
Tehnički Glasnik, 2021 Pitfalls in software development process can be prevented by learning from other people's mistakes. Software practitioners and researchers document lessons learned and the knowledge about best practices is spread over literature.
Lida Bamizadeh +3 more
doaj +1 more source
Degradation mechanism of the von Willebrand factor A2 domain by nattokinase
FEBS Letters, EarlyView.Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto +3 more
wiley +1 more source
ANN Modelling on Vulnerabilities Detection in Code Smells-Associated Android Applications
Foundations of Computing and Decision Sciences, 2022 There has been a lot of software design concerns in recent years that come under the code smell. Android Applications Developments experiences more security issues related to code smells that lead to vulnerabilities in software.
Gupta Aakanshi +2 more
doaj +1 more source
Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations
FEBS Letters, EarlyView.The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas +6 more
wiley +1 more source
Smell-Aware Bug Classification
IEEE AccessCode smell indicates inadequacies in design and implementation choices. Code smells harm software maintainability including effects on components’ bug proneness and code quality has been demonstrated in previous studies.
Khyber +5 more
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A User Feedback Centric Approach for Detecting and Mitigating God Class Code Smell Using Frequent Usage Patterns [PDF]
Journal of Communications Software and Systems, 2019 Code smells are the fragments in the source code that indicates deeper problems in the underlying software design. These code smells can hinder software evolution and maintenance. Out of different code smell types, the God Class (GC) code smell is one of
Randeep Singh, Amit Bindal, Ashok Kumar
doaj
The ubiquitin‐proteasome system and autophagy as guardians of the cellular proteome
FEBS Letters, EarlyView.This Perspective covers the three principles governing the crosstalk between the ubiquitin‐proteasome system and autophagy in cellular proteostasis: (1) a shared ubiquitin code routing substrates via shuttle factors or autophagy receptors; (2) spatial compartmentalization into phase‐separated degradation hubs and organelle‐specific modules (exemplified
Ivan Dikic
wiley +1 more source