Results 61 to 70 of about 162,512 (357)

Deteksi Code Smell dengan Pendekatan Machine Learning: Analisis Bibliometrik [PDF]

Dalam pengembangan perangkat lunak, aspek efisiensi dan keberlanjutan sangat penting. Teknik refactoring digunakan untuk mengurangi dampak dari code smell yang merupakan bentuk technical debt akibat implementasi source code yang tidak mematuhi prinsip ...
Kusuma, Ellysha
core   +2 more sources

Are Smell-Based Metrics Actually Useful in Effort-Aware Structural Change-Proneness Prediction? An Empirical Study [PDF]

, 2019
Bad code smells (also named as code smells) are symptoms of poor design choices in implementation. Existing studies empirically confirmed that the presence of code smells increases the likelihood of subsequent changes (i.e., change-proness).
Jia, Ru, Li, Bixin, Liu, Huihui, Yang, Yibiao, Yu, Yijun   +4 more
core   +1 more source

The impact of Hnrnpl deficiency on transcriptional patterns of developing muscle cells

FEBS Open Bio, EarlyView.
We performed nanopore whole‐transcriptome sequencing comparing RNA from Hnrnpl‐knockdown versus control C2C12 myoblasts to investigate the contributions of Hnrnpl to muscle development. Our results indicate that Hnrnpl regulates the expression of genes involved with Notch signaling and skeletal muscle, particularly splicing patterns of specific muscle ...
Hannah R. Littel, Mekala Gunasekaran, Audrey L. Daugherty, Natalya M. Wells, Johnnie Turner, Christine C. Bruels, Christina A. Pacak, Isabelle Draper, Peter B. Kang   +8 more
wiley   +1 more source

Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics

FEBS Open Bio, EarlyView.
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini, Nicolò Antonelli, Gianluca Molla   +2 more
wiley   +1 more source

Code Smell Detection and Software Refactoring Research: A Systematic Literature Review

The Asian Bulletin of Big Data Management
Today we are experiencing rapid enhancements in software systems and their development. The software industry's demand for tools and techniques for software development, especially automatic and less time-consuming, is increasing daily.
Israr Ali, Sajjad Hussain Rizvi, Syed Hasan Adil, Abdul Ahad Abro   +3 more
semanticscholar   +1 more source

Tryptophan metabolite atlas uncovers organ, age, and sex‐specific variations

FEBS Open Bio, EarlyView.
Tryptophan metabolites were analyzed across twelve organs, the central nervous system, and serum in male and female mice at three life stages. We found tissue‐, sex‐, and age‐specific differences, including increased indole‐3‐pyruvate and kynurenine in aging males.
Lizbeth Perez‐Castro, Afshan F. Nawas, Jessica A. Kilgore, Pedro A. S. Nogueira, M.Carmen Lafita‐Navarro, Paul H. Acosta, Roy Garcia, Noelle S. Williams, Maralice Conacci‐Sorrell   +8 more
wiley   +1 more source

Long COVID in People With Multiple Sclerosis and Related Disorders: A Multicenter Cross‐Sectional Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Managing long COVID in people with multiple sclerosis and related disorders (pwMSRD) is complex due to overlapping symptoms. To address evidence gaps, we evaluated long COVID susceptibility in pwMSRD versus controls and its associations with multi‐domain function and disability.
Chen Hu, Jiyeon Son, Lindsay McAlpine, Elizabeth L. S. Walker, Megan Dahl, Emily Song, Sugeidy Ferreira Brito, Katelyn Kavak, Kaho Onomichi, Amit Bar‐Or, Christopher Perrone, Claire S. Riley, Bianca Weinstock‐Guttman, Philip L. De Jager, Erin E. Longbrake, Zongqi Xia   +15 more
wiley   +1 more source

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

Applied Sciences, 2018
Different challenges arise while detecting deficient software source code. Usually a large number of potentially problematic entities are identified when an individual software metric or individual quality aspect is used for the identification of ...
Tina Beranič, Vili Podgorelec, Marjan Heričko   +2 more
doaj   +1 more source

Multi-Label Code Smell Detection with Hybrid Model based on Deep Learning

International Conference on Software Engineering and Knowledge Engineering, 2022
—Code smell is an indicator of potential problems in a software design that have a negative impact on readability and maintainability. Hence, it is essential for developers to make out the code smell to get tips on code maintenance in time.
Yichen Li, Xiaofang Zhang
semanticscholar   +1 more source

On Using UML Diagrams to Identify and Assess Software Design Smells [PDF]

, 2018
Deficiencies in software design or architecture can severely impede and slow down the software development and maintenance progress. Bad smells and anti-patterns can be an indicator for poor software design and suggest for refactoring the affected source
Haendler, Thorsten
core   +1 more source