Article
Computer Science, Software Engineering
Fan Zhang, Manman Peng, Yuanyuan Shen, Qiang Wu
Summary: This study proposes a novel method called HFEDR that utilizes the hierarchical features of Transformer models and reorganizes training data to improve code search performance. Experimental results demonstrate the effectiveness and rationality of the proposed approach.
JOURNAL OF SYSTEMS AND SOFTWARE
(2024)
Article
Computer Science, Software Engineering
J. Hinz, O. Chanon, A. Arrigoni, A. Buffa
Summary: The objective of this study is to address the difficulty of simplifying a geometric model while maintaining the accuracy of the solution. A goal-oriented adaptive strategy is proposed to reintroduce geometric features in regions with significant impact on the quantity of interest. This approach enables faster and more efficient simulations.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Software Engineering
Stefano Lambiase, Gemma Catolino, Fabiano Pecorelli, Damian A. Tamburri, Fabio Palomba, Willem-Jan van den Heuvel, Filomena Ferrucci
Summary: This paper contributes to the existing body of knowledge on factors affecting productivity in software development by studying the cultural and geographical dispersion of a development community. The results show that cultural and geographical dispersion significantly impact productivity, suggesting that managers and practitioners should consider these aspects throughout the software development lifecycle.
JOURNAL OF SYSTEMS AND SOFTWARE
(2024)
Article
Computer Science, Software Engineering
Carlos Araujo, Meuse Oliveira Jr., Bruno Nogueira, Paulo Maciel, Eduardo Tavares
Summary: This paper proposes a method based on stochastic Petri nets for evaluating the consistency levels of storage systems based on NoSQL DBMS. The method takes into account different consistency levels and redundant nodes, and estimates the system's availability, throughput, and the probability of accessing the newest data. Experimental results demonstrate the practical feasibility of this approach.
JOURNAL OF SYSTEMS AND SOFTWARE
(2024)
Article
Computer Science, Software Engineering
Shuqi Liu, Yu Zhou, Longbing Ji, Tingting Han, Taolue Chen
Summary: In this paper, we propose a framework that combines GUI events deduplication with an adaptive semantic matching strategy to enhance the usability of reused tests. Experimental evaluation demonstrates that the framework improves widget mapping performance, significantly reduces event redundancy, and reduces the manual effort of creating tests for similar applications.
SCIENCE OF COMPUTER PROGRAMMING
(2024)
Article
Computer Science, Software Engineering
Harald Foidl, Valentina Golendukhina, Rudolf Ramler, Michael Felderer
Summary: This article presents a taxonomy of factors influencing the quality of data pipelines and investigates the root causes of data-related issues and the main topics of concern for developers. The findings highlight the need for future research to focus on compatibility and data type issues, as well as assisting developers in data integration and ingestion tasks.
JOURNAL OF SYSTEMS AND SOFTWARE
(2024)
Article
Computer Science, Software Engineering
Zheng Zhan, Wenping Wang, Falai Chen
Summary: This article proposes a learning based method using a deep neural network to simultaneously parameterize the boundary and interior of a computational domain. The method achieves robust parameterization by optimizing a loss function and fitting a tensor-product B-spline function. Experimental results demonstrate that the proposed approach yields parameterization results with lower distortion and higher bijectivity ratio.
COMPUTER-AIDED DESIGN
(2024)
Article
Computer Science, Cybernetics
Hewei Wang, Yijie Li, Kaiwen Gong, Muhammad Salman Pathan, Shijia Xi, Bolun Zhu, Ziyuan Wen, Soumyabrata Dev
Summary: In this paper, a model named MFCSNet is proposed to measure musical influence by analyzing musical characteristics and connections between music influencers and followers. The model applies multiple indicators, providing diverse analysis perspectives and accurately reflecting the influence of different types of music in various fields.
ENTERTAINMENT COMPUTING
(2024)
Article
Computer Science, Software Engineering
Meira Levy, Irit Hadar
Summary: This research sheds new light on how students learn and practice hybrid work in educational settings through two educational studies. The findings show the benefits of new educational programs in fostering empathy and innovation among students, while also highlighting the challenges and opportunities in addressing real challenges.
JOURNAL OF SYSTEMS AND SOFTWARE
(2024)
Article
Computer Science, Hardware & Architecture
Abderrahmane Nitaj, Willy Susilo, Joseph Tonien
Summary: This paper investigates a specific family of enhanced substitution boxes for the Advanced Encryption Standard. These modified S-boxes have the maximal periodicity property, with each input having the maximum orbit length of 256. The parameters for achieving this maximal periodicity property are completely determined. The new enhanced S-boxes also exhibit improved bit avalanche property.
COMPUTER STANDARDS & INTERFACES
(2024)
Article
Computer Science, Hardware & Architecture
Fatma Foad Ashrif, Elankovan A. Sundararajan, Rami Ahmad, Mohammad Kamrul Hasan, Elaheh Yadegaridehkordi
Summary: This article introduces the development and current status of authentication protocols in 6LoWPAN, and proposes an innovative perspective to fill the research gap. The article comprehensively surveys and evaluates AKA protocols, analyzing their suitability in wireless sensor networks and the Internet of Things, and proposes future research directions and issues.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2024)
Article
Computer Science, Hardware & Architecture
Dun Li, Dezhi Han, Tien-Hsiung Weng, Zibin Zheng, Hongzhi Li, Kuan-Ching Li
Summary: Stablecoins have facilitated the growth of decentralized payments and the emergence of a new generation of payment systems using cryptocurrencies and Blockchain technology. However, the existing research lacks a comprehensive overview of Stablecoins that focuses on their full context, stabilization mechanisms, and payment applicability. This paper provides a thorough summary of the definition, current state, and ecosystem of Stablecoins. It discusses the system structure, stability mechanisms, and their applicability in payment scenarios. The study identifies asset-backed Stablecoins as the most efficient and widely used, while cryptocurrency-backed Stablecoins are more balanced in relation to the original concept. Algorithm-backed Stablecoins show significant potential for development but are hesitant due to the lack of collateral or deposit reserves, making them prone to collapse. The paper concludes by presenting possible future trends for Stablecoins.
COMPUTER STANDARDS & INTERFACES
(2024)
Article
Computer Science, Interdisciplinary Applications
Jang Won Bae, Chun-Hee Lee, Jeong-Woo Lee, Seon Han Choi
Summary: In this study, a data-driven agent-based model is proposed for simulating the public bicycle-sharing systems (PBSSs) in Sejong City, South Korea. The model captures users' behavioral characteristics and analyzes their convenience through a bottom-up approach. By extracting parameters from actual operational data and demographic information, the model's accuracy is improved. Model simulations evaluate the utilization and user convenience of Eoulling, providing a viable solution for addressing multiple concerns.
SIMULATION MODELLING PRACTICE AND THEORY
(2024)
Article
Computer Science, Interdisciplinary Applications
Ping-Chen Chang, Cheng-Fu Huang, Ding-Hsiang Huang
Summary: This paper introduces a novel simulation approach based on minimal cuts to estimate the system reliability of a multistate flow network (MSFN). The approach improves computational efficiency by reducing the number of minimal cuts and preserving saturated minimal cuts. It effectively deals with non-integer demands and demonstrates effectiveness and efficiency in illustrative examples.
SIMULATION MODELLING PRACTICE AND THEORY
(2024)
Article
Computer Science, Software Engineering
Alfa Yohannis, Dimitris Kolovos, Antonio Garcia-Dominguez
Summary: Picto Web is a multi-tenant web-based tool that allows exploration of complex models by transforming them into various transient web-based views using rule-based transformations. It uses a lazy view computation approach to efficiently support large models and complex transformations, and includes monitoring and push notification facilities for automatic recomputation of views and updated delivery to clients.
SCIENCE OF COMPUTER PROGRAMMING
(2024)
Article
Computer Science, Interdisciplinary Applications
Farshid Mehrdoust, Idin Noorani, Juho Kanniainen
Summary: This paper proposes a Markov-switching model to evaluate the dynamics of commodity futures and spot prices, and introduces a hidden Markov chain to model the sudden jumps in commodity prices. The model is calibrated using the crude oil spot price and estimation-maximization algorithm. The study also evaluates European call options written on crude oil futures under the regime-switching model and derives Greek formulas for risk assessment. The importance of this paper is rated at 8 out of 10.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Software Engineering
Erwan Mahe, Christophe Gaston, Pascale Le Gall
Summary: This paper presents an Interaction Language to encode Sequence Diagrams (SD) and associates it with three different formal semantics. This allows for direct formal verification of SD, while preserving traceability of SD concepts and executed actions, and addressing the translation of problematic operators.
SCIENCE OF COMPUTER PROGRAMMING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hatem Mrad, Seyyed Mojtaba Fakhari
Summary: This paper presents a numerical investigation of the spectral conjugate directions formulation for optimizing unconstrained problems. A novel modified algorithm is proposed based on the conjugate gradient coefficient method. The algorithm employs the Wolfe inexact line search conditions to determine the optimum step length at each iteration and selects the appropriate conjugate gradient coefficient accordingly. The algorithm is evaluated through several numerical experiments and shows promising results in terms of stability, convergence rates, and efficiency.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2024)
Article
Computer Science, Hardware & Architecture
Shunmugapriya Ramanathan, Abhishek Bhattacharyya, Koteswararao Kondepu, Andrea Fumagalli
Summary: This article presents an experiment that achieves live migration of a containerized 5G Central Unit module using modified open-source migration software. By comparing different migration techniques, it is found that the hybrid migration technique can reduce end-user service recovery time by 36% compared to the traditional cold migration technique.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2024)
Article
Computer Science, Software Engineering
Joan Giner-Miguelez, Abel Gomez, Jordi Cabot
Summary: Datasets are crucial for training and evaluating machine learning models, but they can also lead to undesirable behaviors like biased predictions. To tackle this issue, the machine learning community suggests adopting consistent guidelines for dataset descriptions. However, these guidelines rely on natural language descriptions, which hinder automated computation and analysis. To overcome this, we present DescribeML, a language engineering tool that provides precise, structured descriptions of machine learning datasets, including their composition, provenance, and social concerns.
SCIENCE OF COMPUTER PROGRAMMING
(2024)
