Detection of Bugs and Code Smells through Static Analysis of Go Source Code
Christian Bergum Bergersen
openalex +1 more source
Based on Multi-dimensional Software Data and Complex Networks for Code Smells Detection
Tong Heng, Cheng Zhang, Futian Wang
openalex +1 more source
Rational defect engineering in Co‐doped NiO nanostructures, synthesized via a sustainable green route, enables precise bandgap modulation and defect‐state tailoring. Combined experimental–density functional theory analysis identifies 15% Co doping as the optimal threshold for maximizing photocatalytic degradation, photothermal response, and hydrogen ...
Sumayya M. Ansari +8 more
wiley +1 more source
Generating Code-Smell Prediction Rules Using Decision Tree Algorithm and Software Metrics
Mohammad Y. Mhawish, Manjari Gupta
openalex +1 more source
ABSTRACT The Cordillera Administrative Region in the Philippines is home to terraced rice embedded in centuries of cultural heritage. However, weak market incentives threaten sustained production, jeopardizing indigenous communities' cultural heritage and the in situ biodiversity of rice genetic resources.
Kofi Britwum, Matty Demont
wiley +1 more source
Trajectories of Coping With Persistent Smell and Taste Dysfunction After a Covid-19 Infection-A Qualitative Interview Study. [PDF]
Sandvik P +3 more
europepmc +1 more source
Fixing Your Own Smells: Adding a Mistake-Based Familiarisation Step When Teaching Code Refactoring [PDF]
Ivan Tan, Christopher M. Poskitt
openalex +1 more source
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc +8 more
wiley +1 more source
Being Mindful About Overuse of Total Scores: a Comparison of Total Scores and Moderated Nonlinear Factor Analysis Scores in Assessing Mindfulness Across Race/Ethnicity, Age, and PTSD Diagnosis. [PDF]
Lozano A +5 more
europepmc +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source

