Results 51 to 60 of about 2,745,513 (214)

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

Advanced Intelligent Discovery, EarlyView.
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi, Yu Kumagai, Arata Takamatsu, Fumiyasu Oba   +3 more
wiley   +1 more source

Investigating the Refactoring Capabilities of Small Open-Weight Language Models

Software
Refactoring is essential for developing maintainable software. Using Large Language Models in software engineering is widespread, but compared to well-established domains such as code generation, reliable refactoring is still relatively underexplored. In
Tamás Márton, Balázs Szalontai, Balázs Pintér, Tibor Gregorics   +3 more
doaj   +1 more source

Component-Based Java Legacy Code Refactoring

Revista Facultad de Ingeniería Universidad de Antioquia, 2013
Component-Based Software Engineering (CBSE) claims to improve software modularisation and to embed architectural concerns. Refactoring Java legacy code with CBSE in mind requires first assessing the compliance of legacy code with component programming ...
Hugo Arboleda, Andrés Paz, Jean-Claude Royer   +2 more
doaj   +1 more source

Semantic Code Refactoring for Abstract Data Types

Proc. ACM Program. Lang.
Modifications to the data representation of an abstract data type (ADT) can require significant semantic refactoring of the code. Motivated by this observation, this paper presents a new method to automate semantic code refactoring tasks.
Shankara Pailoor, Yue-Peng Wang, Işıl Dillig   +2 more
semanticscholar   +1 more source

Clean Code and Refactoring

, 2022
A SURESOFT Workshop about applying Clean Code and Refactoring techniques to research software in order to produce maintainable and understandable code.
openaire   +2 more sources

Artificial Intelligence based code refactoring

World Journal of Advanced Engineering Technology and Sciences
One of the most difficult aspects of software development is maintaining and updating legacy code, which frequently requires a significant investment of time and energy to make the code more manageable, efficient, and readable.
Swathi Turai, Praneetha Potharaju, Rajasri Aishwarya Bepeta, Mohammed Adil, Mani Charan Vangala   +4 more
semanticscholar   +1 more source

Enhancing the Secretion Systems: Genetic Engineering of Super Bioagents for Effective Plant Disease Control

Biotechnology and Bioengineering, EarlyView.
Genetic engineering (GE) overcomes BCA limits, enabling robust, scalable crop protection. “Super Bioagents” (SBs) use optimized SSs to enhance bioactive molecule delivery. Optimizing SSs enhance precise, sustainable effector deployment for stable disease suppression. SBs use microbiome‐informed design for scalable, next‐gen sustainable crop protection.
Michael Dare Asemoloye
wiley   +1 more source

Recommendation method for multi-objective software refactoring based on adaptive crossover [PDF]

Journal of Hebei University of Science and Technology
To address the problem of excessive randomness introduced by the mechanical exchange of gene fragments in traditional crossover operators, which leads to the generation of invalid refactoring operations, this paper proposed a refactoring recommendation ...
Meiyan ZHENG, Yang ZHANG
doaj   +1 more source

Theia: An end‐to‐end edge‐AI mobile framework for high‐throughput field phenotyping and on‐device geometric morphometrics

Methods in Ecology and Evolution, EarlyView.
Abstract Geometric morphometrics (GM) is widely used to study phenotypic variation in ecological and evolutionary research, but the throughput of manual landmark digitization limits how large morphometric datasets can practically become, especially in field studies that would benefit from rapid on‐site feedback.
Cristobal Bragagnolo, Andrés Ferreira‐Rodríguez, Mohamed Abdelaziz, A. Jesús Muñoz‐Pajares   +3 more
wiley   +1 more source

Cross-language refactoring detection method based on edit sequence [PDF]

Journal of Hebei University of Science and Technology
Aiming at the problems of unreliable commit message caused by developers not consistently recording refactoring operations, and language singularityin deep learning-based refactoring detection methods, a cross-language refactoring detection method ...
Tao LI, Dongwen ZHANG, Yang ZHANG, Kun ZHENG   +3 more
doaj   +1 more source