Search Results - "Subroutines (Computer programs)"

Implementing std::visit: Learning how to implement standard library features is illuminating. Quasar Chunawala explores implementing your own version of std::visit.

Authors: Chunawala, Quasar

Source: Overload; Aug2026, Issue 194, p20-23, 4p

Parametric Modular Answer Set Programs Made Declarative.

Authors: FANDINNO, JORGE LIERLER, YULIYA SCHAUB, TORSTEN

Source: Theory & Practice of Logic Programming. Mar2026, Vol. 26 Issue 1/2, p147-162. 16p.

SMART CLASSROOM: TAXONOMY OF FEATURES, EXISTING TECHNIQUES, CHALLENGES AND RESEARCH OPPORTUNITIES.

Authors: Moses, T. Sadiq, S.

Source: Nigerian Journal of Technology; Mar2026, Vol. 45 Issue 1, p123-138, 16p

Py++ (Python based C++ Approached Compiler with Win32 Editor and Debugger).

Authors: Phatangare, Sheetal Yadav, Ishaan Maheshwari, Yash et al.

Source: Grenze International Journal of Engineering & Technology (GIJET); Jan2026, Vol. 12 Issue Part2, p2426-2430, 5p

Requiring code sharing to strengthen transparency and trust in research.

Authors: Lumbard, Helen Cadwallader, Lauren Soper, Devin

Source: PLoS Medicine. 5/26/2026, Vol. 23 Issue 5, p1-3. 3p.

Prediction of the early age thermal behavior of mass concrete containing SCMs using ANSYS, part 2: evaluation of thermally induced stresses.

Authors: Mardmomen, Seyednavid Chen, Hung-Liang Roger

Source: Journal of Thermal Analysis & Calorimetry. Jul2026, Vol. 151 Issue 16, p13313-13327. 15p.

Subjects: Thermal stresses, Subroutines (Computer programs), Effect of temperature on concrete, Hydration kinetics, Concrete construction, Cement composites, Thermal stress cracking

Highliner: Enhancing Binary Analysis through NLP-Based Instruction-Level Detection of C++ Inline Functions.

Authors: Dall'Aglio, Lorenzo Binosi, Lorenzo Carminati, Michele et al.

Source: ACM Transactions on Privacy & Security; Nov2025, Vol. 28 Issue 4, p1-22, 22p

The Good, the Bad, and the Monstrous: Predicting Highly Change-Prone Source Code Methods at Their Inception.

Authors: Chowdhury, Shaiful¹, shaiful.chowdhury@umanitoba.ca

Source: ACM Transactions on Software Engineering & Methodology; Sep2025, Vol. 34 Issue 7, p1-29, 29p

A short survey on small reasoning models: training, inference, applications, and research directions.

Authors: Wang, Chengyu Zhang, Taolin Hong, Richang et al.

Source: Frontiers of Computer Science; Nov2026, Vol. 20 Issue 11, p1-22, 22p

面向汽车零部件装配的分层混合专家机械臂 动作生成方法. (Chinese)

Authors: 周胤江 袁庆霓 曲鹏举 et al.

Source: Automobile & New Powertrain; 2026, Vol. 9 Issue 5, p117-122, 6p

ABAQUS Subroutine-Based Implementation of a Fractional Consolidation Model for Saturated Soft Soils.

Authors: Zeng, Tao Feng, Tao Wang, Yansong

Source: Fractal & Fractional. Aug2025, Vol. 9 Issue 8, p542. 20p.

How Are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective.

Authors: Kim, Kisub Zhou, Xin Kim, Dongsun et al.

Source: ACM Transactions on Software Engineering & Methodology; Jul2025, Vol. 34 Issue 6, p1-27, 27p

Classification of Malaysian individuals using Fordisc 3 based on four craniofacial measurements.

Authors: Hisham, Salina Ibrahim, Mohamad Azaini

Source: Australian Journal of Forensic Sciences. Jun2025, Vol. 57 Issue 3, p294-301. 8p.

A High‐Performance User‐Defined XFEM‐Based Cohesive Zone Modeling Method for Mixed‐Mode Fracture Problems.

Authors: Zhu, Haoran Tian, Longgang Yu, Jiacheng et al.

Source: Fatigue & Fracture of Engineering Materials & Structures. Mar2026, Vol. 49 Issue 3, p717-737. 21p.

Subjects: Subroutines (Computer programs), Finite element method, Fracture mechanics, Crack propagation, Parallel programming

Decoding Secret Memorization in Code LLMs Through Token-Level Characterization.

Authors: Nie, Yuqing Wang, Chong Wang, Kailong et al.

Source: ICSE: International Conference on Software Engineering; 2025, p3028-3040, 13p

Preserving Privacy in Software Composition Analysis: A Study of Technical Solutions and Enhancements.

Authors: Wang, Huaijin Liu, Zhibo Dai, Yanbo et al.

Source: ICSE: International Conference on Software Engineering; 2025, p2477-2489, 13p

llasm: Naming Functions in Binaries by Fusing Encoder-only and Decoder-only LLMs.

Authors: Sha, Zihan Wang, Hao Gao, Zeyu et al.

Source: ACM Transactions on Software Engineering & Methodology; May2025, Vol. 34 Issue 4, p1-22, 22p

DSKIPP: A Prompt Method to Enhance the Reliability in LLMs for Java API Recommendation Task.

Authors: Yang, Jingbo Wu, Wenjun Ren, Jian

Source: Software Testing: Verification & Reliability; Mar2025, Vol. 35 Issue 2, p1-16, 16p

Statistical and Block Copolymers of n-Dodecyl and Allyl Isocyanate via Titanium-Mediated Coordination Polymerization: A Route to Polyisocyanates with Improved Thermal Stability.

Authors: Iatrou, Maria Katara, Aikaterini Klonos, Panagiotis A. et al.

Source: Polymers (20734360). Dec2024, Vol. 16 Issue 24, p3537. 27p.

Subjects: Subroutines (Computer programs), Gel permeation chromatography, Nuclear magnetic resonance, Differential scanning calorimetry, Copolymers, Block copolymers

Developing an advanced deep learning-based MR image framework for brain stroke segmentation and classification with novel activation function.

Authors: Jesila Mol, J. Jancy, S.

Source: International Journal of Neuroscience. Aug2026, Vol. 136 Issue 8, p1159-1183. 25p.

Subjects: Deep learning, Magnetic resonance imaging, Ischemic stroke, Subroutines (Computer programs), Image segmentation, Diagnostic imaging, Image processing, Artificial neural networks