Pub Date : 2025-10-01Epub Date: 2025-09-22DOI: 10.1016/j.simpa.2025.100785
Zhe Wang , Zunfan Chen , Zhigang Wang , Sheng Yang , Xiaolin Yang , Heinrich Herre , Yan Zhu
This paper presents Py2ONTO-Edit, an ontology editing tool that integrates the low-level functionality of Owlready2 to simplify the extraction and translation of ontology terms. It offers two extraction methods: 1. Global extraction method. 2. Selective-depth extraction method. Another key feature is the translation of ontology terms using multiple translation packages to add non-English labels (e.g., Chinese, French, German) to the ontology. This paper presents two main contributions: 1. Implementation of flexible features for term extraction. 2. Enabling of multilingual translation of ontology terms. Py2ONTO-Edit is an easy-to-use Python tool for developers focused on ontology term reuse and translation.
{"title":"Py2ONTO-Edit: A python-based tool for ontology term extraction and translation","authors":"Zhe Wang , Zunfan Chen , Zhigang Wang , Sheng Yang , Xiaolin Yang , Heinrich Herre , Yan Zhu","doi":"10.1016/j.simpa.2025.100785","DOIUrl":"10.1016/j.simpa.2025.100785","url":null,"abstract":"<div><div>This paper presents Py2ONTO-Edit, an ontology editing tool that integrates the low-level functionality of Owlready2 to simplify the extraction and translation of ontology terms. It offers two extraction methods: 1. Global extraction method. 2. Selective-depth extraction method. Another key feature is the translation of ontology terms using multiple translation packages to add non-English labels (e.g., Chinese, French, German) to the ontology. This paper presents two main contributions: 1. Implementation of flexible features for term extraction. 2. Enabling of multilingual translation of ontology terms. Py2ONTO-Edit is an easy-to-use Python tool for developers focused on ontology term reuse and translation.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"26 ","pages":"Article 100785"},"PeriodicalIF":1.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145221948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, an innovative architecture based on deep neural networks is presented. Initially, node and layer features are extracted as feature vectors. Each vector is then passed through a deep multilayer perceptron (MLP) network for enrichment. Using the Hadamard product, these vectors are multiplied element-wise to form a matrix. In the next step, to analyze feature interactions, this matrix is fed into a series of Transformer encoders arranged sequentially. Finally, an MLP network is used as a regression model to predict the influence power of the nodes.
{"title":"Deep learning framework with Hadamard-based feature fusion for node influence power prediction","authors":"Ali Seyfi , Asgarali Bouyer , Amin Golzari Oskouei , Bahman Arasteh , Leila Hassani","doi":"10.1016/j.simpa.2025.100793","DOIUrl":"10.1016/j.simpa.2025.100793","url":null,"abstract":"<div><div>In this paper, an innovative architecture based on deep neural networks is presented. Initially, node and layer features are extracted as feature vectors. Each vector is then passed through a deep multilayer perceptron (MLP) network for enrichment. Using the Hadamard product, these vectors are multiplied element-wise to form a matrix. In the next step, to analyze feature interactions, this matrix is fed into a series of Transformer encoders arranged sequentially. Finally, an MLP network is used as a regression model to predict the influence power of the nodes.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"26 ","pages":"Article 100793"},"PeriodicalIF":1.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145466178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-01Epub Date: 2025-05-19DOI: 10.1016/j.simpa.2025.100767
Azeem Ahmad , Muhammad Rashid Naeem , Yasir Javed , Mohammad Akour
This paper presents Eiffel-Store, an open-source tool for real-time traceability in Continuous Integration (CI) pipelines. Unlike traditional batch visualization tools, Eiffel-Store dynamically visualizes live Eiffel events from CI tools (e.g., Jenkins) using MongoDB and Meteor.js. It supports incremental updates, enabling users to trace faults back to specific commits across the pipeline. Events can be streamed from RabbitMQ or added manually, offering flexibility for diverse workflows. By connecting code changes to final product faults, Eiffel-Store improves transparency, debugging, and quality assurance. The tool has been tested with industry partners and is available publicly to promote adoption and further development.
{"title":"Reconstructing software evolution: Traceability from code commits to fault manifestation in CI","authors":"Azeem Ahmad , Muhammad Rashid Naeem , Yasir Javed , Mohammad Akour","doi":"10.1016/j.simpa.2025.100767","DOIUrl":"10.1016/j.simpa.2025.100767","url":null,"abstract":"<div><div>This paper presents <em>Eiffel-Store</em>, an open-source tool for real-time traceability in Continuous Integration (CI) pipelines. Unlike traditional batch visualization tools, Eiffel-Store dynamically visualizes live Eiffel events from CI tools (e.g., Jenkins) using MongoDB and Meteor.js. It supports incremental updates, enabling users to trace faults back to specific commits across the pipeline. Events can be streamed from RabbitMQ or added manually, offering flexibility for diverse workflows. By connecting code changes to final product faults, Eiffel-Store improves transparency, debugging, and quality assurance. The tool has been tested with industry partners and is available publicly to promote adoption and further development.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"25 ","pages":"Article 100767"},"PeriodicalIF":1.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144123220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-01DOI: 10.1016/j.simpa.2025.100776
Santana Yuda Pradata , Muhammad Alfian Amrizal , Ahmad Ridwan Tresna Nugraha , Reza Pulungan
Wireless sensor networks (WSNs) are crucial for various real-life applications, from environmental and health monitoring systems to home and industrial automation. However, these networks face challenges in failure-prone environments, where sensor nodes must conserve energy while ensuring data reliability. We introduce FaultNet-Sim, a multithreaded simulator that facilitates the development of optimization strategies for balancing energy consumption and data reliability by tuning data transfer intervals in WSNs. The simulator can model different failure conditions and various time-division multiple access (TDMA)-based scheduling techniques, allowing users to analyze the trade-offs between data loss and energy consumption. With customizable parameters, FaultNet-Sim is a valuable tool for researchers looking to improve the resilience and efficiency of WSNs in real-world applications.
{"title":"FaultNet-Sim: A C++ simulator for failure-prone wireless sensor networks","authors":"Santana Yuda Pradata , Muhammad Alfian Amrizal , Ahmad Ridwan Tresna Nugraha , Reza Pulungan","doi":"10.1016/j.simpa.2025.100776","DOIUrl":"10.1016/j.simpa.2025.100776","url":null,"abstract":"<div><div>Wireless sensor networks (WSNs) are crucial for various real-life applications, from environmental and health monitoring systems to home and industrial automation. However, these networks face challenges in failure-prone environments, where sensor nodes must conserve energy while ensuring data reliability. We introduce FaultNet-Sim, a multithreaded simulator that facilitates the development of optimization strategies for balancing energy consumption and data reliability by tuning data transfer intervals in WSNs. The simulator can model different failure conditions and various time-division multiple access (TDMA)-based scheduling techniques, allowing users to analyze the trade-offs between data loss and energy consumption. With customizable parameters, FaultNet-Sim is a valuable tool for researchers looking to improve the resilience and efficiency of WSNs in real-world applications.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"25 ","pages":"Article 100776"},"PeriodicalIF":1.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144632605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-01Epub Date: 2025-08-28DOI: 10.1016/j.simpa.2025.100782
Md. Masudur Rahman, Zenun Chowdhury, Raqeebir Rab
Program comprehensibility plays a significant role in software maintenance by enhancing code readability. Although inherently subjective, various methods to assess comprehensibility have emerged in recent years. Most of these approaches focus on structural characteristics of source code, such as lines of code, number of identifiers, cyclomatic complexity, etc. However, textual elements are equally vital, as these directly influence how humans interpret and understand code. In this paper, we present an approach that evaluates program comprehensibility based on the textual readability of source code — reflecting how it is perceived by human readers. We developed a tool to implement this proposed approach and validated its effectiveness by comparing its output with manual evaluations of code comprehensibility. The results showed complete agreement, indicating that the tool produces comprehensibility scores. This tool can support developers by identifying segments of code that are harder to comprehend, enabling targeted refactoring efforts to improve overall readability.
{"title":"A tool for measuring program comprehensibility using readability-driven metrics","authors":"Md. Masudur Rahman, Zenun Chowdhury, Raqeebir Rab","doi":"10.1016/j.simpa.2025.100782","DOIUrl":"10.1016/j.simpa.2025.100782","url":null,"abstract":"<div><div>Program comprehensibility plays a significant role in software maintenance by enhancing code readability. Although inherently subjective, various methods to assess comprehensibility have emerged in recent years. Most of these approaches focus on structural characteristics of source code, such as lines of code, number of identifiers, cyclomatic complexity, etc. However, textual elements are equally vital, as these directly influence how humans interpret and understand code. In this paper, we present an approach that evaluates program comprehensibility based on the textual readability of source code — reflecting how it is perceived by human readers. We developed a tool to implement this proposed approach and validated its effectiveness by comparing its output with manual evaluations of code comprehensibility. The results showed complete agreement, indicating that the tool produces comprehensibility scores. This tool can support developers by identifying segments of code that are harder to comprehend, enabling targeted refactoring efforts to improve overall readability.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"25 ","pages":"Article 100782"},"PeriodicalIF":1.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144917254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article presents a MATLAB-based computational software, TERANG to estimate physical and operational losses for school building in Indonesia. The basis of the estimation model used is the HAZUS model. TERANG provides modifications to the HAZUS model on school building cost parameters and reconstruction cost, as well as adjustments to local hazard data. TERANG provides an overview of the HAZUS model adoption process for countries that do not yet have a school building database. TERANG software supports Indonesia’s seismic loss studies, estimating school damages in Bandung and Mamuju’s 2021 earthquake while raising awareness among school stakeholders.
{"title":"TERANG: Seismic loss estimation tool for school buildings","authors":"Roi Milyardi , Krishna Suryanto Pribadi , Muhamad Abduh , Irwan Meilano , Erwin Lim","doi":"10.1016/j.simpa.2025.100773","DOIUrl":"10.1016/j.simpa.2025.100773","url":null,"abstract":"<div><div>This article presents a MATLAB-based computational software, TERANG to estimate physical and operational losses for school building in Indonesia. The basis of the estimation model used is the HAZUS model. TERANG provides modifications to the HAZUS model on school building cost parameters and reconstruction cost, as well as adjustments to local hazard data. TERANG provides an overview of the HAZUS model adoption process for countries that do not yet have a school building database. TERANG software supports Indonesia’s seismic loss studies, estimating school damages in Bandung and Mamuju’s 2021 earthquake while raising awareness among school stakeholders.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"25 ","pages":"Article 100773"},"PeriodicalIF":1.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144313009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The ‘gps2gtfs’ package addresses a critical need for converting raw Global Positioning System (GPS) trajectory data from public transit vehicles into the widely used GTFS (General Transit Feed Specification) format. This transformation enables various software applications to efficiently utilize real-time transit data for purposes such as tracking, scheduling, and arrival time prediction. Developed in Python, ‘gps2gtfs’ employs techniques like geo-buffer mapping, parallel processing, and data filtering to manage challenges associated with raw GPS data, including high volume, discontinuities, and localization errors. This open-source package, available on GitHub and PyPI, enhances the development of intelligent transportation solutions and fosters improved public transit systems globally.
{"title":"GPS-2-GTFS: A Python package to process and transform raw GPS data of public transit to GTFS format","authors":"Shiveswarran Ratneswaran , Uthayasanker Thayasivam , Sivakumar Thillaiambalam","doi":"10.1016/j.simpa.2025.100780","DOIUrl":"10.1016/j.simpa.2025.100780","url":null,"abstract":"<div><div>The ‘gps2gtfs’ package addresses a critical need for converting raw Global Positioning System (GPS) trajectory data from public transit vehicles into the widely used GTFS (General Transit Feed Specification) format. This transformation enables various software applications to efficiently utilize real-time transit data for purposes such as tracking, scheduling, and arrival time prediction. Developed in Python, ‘gps2gtfs’ employs techniques like geo-buffer mapping, parallel processing, and data filtering to manage challenges associated with raw GPS data, including high volume, discontinuities, and localization errors. This open-source package, available on GitHub and PyPI, enhances the development of intelligent transportation solutions and fosters improved public transit systems globally.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"25 ","pages":"Article 100780"},"PeriodicalIF":1.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144756883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-01Epub Date: 2025-06-10DOI: 10.1016/j.simpa.2025.100771
Sait Alp , Sara Akan , Taymaz Akan , Mohammad Alfrad Nobel Bhuiyan
This study introduces a reproducible pipeline for classifying Alzheimer’s Disease from structural brain MRI utilizing a joint transformer architecture that integrates Vision Transformer and Time-Series Transformer models. The proposed framework uses pre-trained ViT for feature extraction from 2D slices of MRI volumes, followed by sequential modeling with a transformer-based classifier to capture inter-slice dependencies. The method is evaluated on the ADNI dataset, involving both binary (AD vs. NC) and multiclass (AD, MCI, NC) classification tasks across axial, sagittal, and coronal planes.
本研究介绍了一种可重复的管道，利用集成视觉变压器和时间序列变压器模型的联合变压器架构，从结构脑MRI中对阿尔茨海默病进行分类。所提出的框架使用预训练的ViT从MRI体积的二维切片中提取特征，然后使用基于变压器的分类器进行顺序建模以捕获切片间的依赖关系。该方法在ADNI数据集上进行了评估，包括二元（AD vs. NC）和多类别（AD， MCI， NC）跨轴向，矢状面和冠状面分类任务。
{"title":"MRI-based Alzheimer’s disease classification using Vision Transformer and time-series transformer: A step-by-step guide","authors":"Sait Alp , Sara Akan , Taymaz Akan , Mohammad Alfrad Nobel Bhuiyan","doi":"10.1016/j.simpa.2025.100771","DOIUrl":"10.1016/j.simpa.2025.100771","url":null,"abstract":"<div><div>This study introduces a reproducible pipeline for classifying Alzheimer’s Disease from structural brain MRI utilizing a joint transformer architecture that integrates Vision Transformer and Time-Series Transformer models. The proposed framework uses pre-trained ViT for feature extraction from 2D slices of MRI volumes, followed by sequential modeling with a transformer-based classifier to capture inter-slice dependencies. The method is evaluated on the ADNI dataset, involving both binary (AD vs. NC) and multiclass (AD, MCI, NC) classification tasks across axial, sagittal, and coronal planes.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"25 ","pages":"Article 100771"},"PeriodicalIF":1.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144298005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-01Epub Date: 2025-08-13DOI: 10.1016/j.simpa.2025.100781
Christian Ghiaus
ELECTRE Tri-B is a sorting and classification method for multiple-criteria decision-making (MCDM) in which alternatives are assigned to categories. The categories are completely ordered and defined by base (or reference) profiles. The pELECTRE Tri software implements a probabilistic extension of the ELECTRE Tri-B method designed to handle uncertainty in both the decision matrix values and the base profiles delimiting the categories. Its modular architecture enables step-by-step workflows from data input to results output, ensuring flexibility and transparency in the decision-making process. Implemented as a Python module, pELECTRE Tri requires no installation and can be executed locally or online. The software is supported by comprehensive documentation, including tutorials, how-to guides, theoretical explanations, and a user reference manual.
{"title":"pELECTRE Tri: A computational framework and Python module for probabilistic ELECTRE Tri-B multiple-criteria decision-making","authors":"Christian Ghiaus","doi":"10.1016/j.simpa.2025.100781","DOIUrl":"10.1016/j.simpa.2025.100781","url":null,"abstract":"<div><div>ELECTRE Tri-B is a sorting and classification method for multiple-criteria decision-making (MCDM) in which alternatives are assigned to categories. The categories are completely ordered and defined by base (or reference) profiles. The <em>pELECTRE Tri</em> software implements a probabilistic extension of the ELECTRE Tri-B method designed to handle uncertainty in both the decision matrix values and the base profiles delimiting the categories. Its modular architecture enables step-by-step workflows from data input to results output, ensuring flexibility and transparency in the decision-making process. Implemented as a Python module, <em>pELECTRE Tri</em> requires no installation and can be executed locally or online. The software is supported by comprehensive documentation, including tutorials, how-to guides, theoretical explanations, and a user reference manual.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"25 ","pages":"Article 100781"},"PeriodicalIF":1.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144893306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-01Epub Date: 2025-06-14DOI: 10.1016/j.simpa.2025.100770
Dimas Ramdhan, Elshad Ryan Ardiyanto, Patrick Alexander, Edyth Novian Putra, David
Nyctophy is a serious game combining virtual reality (VR) and smartwatch integration for nyctophobia (fear of darkness) therapy. The paper thoroughly explores its development framework, simulating dark environments with real-time heart rate monitoring and adaptive flashlight mechanics. Built in Unity Engine, Nyctophy supports VR (Meta Quest 2) and keyboard–mouse interfaces. Performance tests achieved 71.9 FPS (”good” quality) across four devices. Tests with 34 participants revealed longer VR completion times (8:12 min) versus keyboard–mouse (3:54), highlighting immersive impact. Nyctophy demonstrates potential as a safe, innovative tool for diagnosing and treating nyctophobia, leveraging serious games to enhance accessibility and therapeutic outcomes.
{"title":"Nyctophy: Development of virtual reality and smartwatch integrated serious game for nyctophobia therapy","authors":"Dimas Ramdhan, Elshad Ryan Ardiyanto, Patrick Alexander, Edyth Novian Putra, David","doi":"10.1016/j.simpa.2025.100770","DOIUrl":"10.1016/j.simpa.2025.100770","url":null,"abstract":"<div><div>Nyctophy is a serious game combining virtual reality (VR) and smartwatch integration for nyctophobia (fear of darkness) therapy. The paper thoroughly explores its development framework, simulating dark environments with real-time heart rate monitoring and adaptive flashlight mechanics. Built in Unity Engine, Nyctophy supports VR (Meta Quest 2) and keyboard–mouse interfaces. Performance tests achieved 71.9 FPS (”good” quality) across four devices. Tests with 34 participants revealed longer VR completion times (8:12 min) versus keyboard–mouse (3:54), highlighting immersive impact. Nyctophy demonstrates potential as a safe, innovative tool for diagnosing and treating nyctophobia, leveraging serious games to enhance accessibility and therapeutic outcomes.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"25 ","pages":"Article 100770"},"PeriodicalIF":1.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144490007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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