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Towards measurement-based Software Engineering IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-02-13 Victor Basili, David Weiss, Dieter Rombach
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A Personal Retrospective on Symbolic Execution IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-02-13 Lori A. Clarke
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Trustworthy Distributed Certification of Program Execution IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-02-13 Alex Wolf, Marco Edoardo Palma, Pasquale Salza, Harald C. Gall
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Design practices in visualization driven data exploration for non-expert audiences Comput. Sci. Rev. (IF 13.3) Pub Date : 2025-02-12 Natasha Tylosky, Antti Knutas, Annika Wolff
Data exploration is increasingly relevant to the average person in our data-driven world, as data is now often open source and available to the general public and other non-expert users via open data portals and other similar data sources. This has introduced the need for data exploration tools, methods and techniques to engage non-expert users in data exploration, and thus a proliferation of new research
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A comprehensive survey of golden jacal optimization and its applications Comput. Sci. Rev. (IF 13.3) Pub Date : 2025-02-11 Mehdi Hosseinzadeh, Jawad Tanveer, Amir Masoud Rahmani, Abed Alanazi, Monji Mohamed Zaidi, Khursheed Aurangzeb, Hamid Alinejad-Rokny, Thantrira Porntaveetus, Sang-Woong Lee
In recent decades, there has been an increasing interest from the research community in various scientific and engineering fields, including robotic control, signal processing, image processing, feature selection, classification, clustering, and other issues. Many optimization problems are inherently complicated and complex. They cannot be solved by traditional optimization methods, such as mathematical
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Search-based DNN Testing and Retraining with GAN-enhanced Simulations IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-02-11 Mohammed Oualid Attaoui, Fabrizio Pastore, Lionel C. Briand
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Automated Test Case Repair Using Language Models IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-02-11 Ahmadreza Saboor Yaraghi, Darren Holden, Nafiseh Kahani, Lionel Briand
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Engineering within boundaries when software has none IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-02-11 Bashar Nuseibeh
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Encoded Marker Clusters for Auto-Labeling in Optical Motion Capture ACM Trans. Graph. (IF 7.8) Pub Date : 2025-02-10 Hao Wang, Taogang Hou, Tianhui Liu, Jiaxin Li, Tianmiao Wang
Marker-based optical motion capture (MoCap) is a vital tool in applications such as virtual production, and movement sciences. However, reconstructing scattered MoCap data into real motion sequences is challenging, and data processing is time-consuming and labor-intensive. Here we propose a novel framework for MoCap auto-labeling and matching. In this framework, we designed novel clusters of reflective
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Exploring a hybrid ensemble–variational data assimilation technique (4DEnVar) with a simple ecosystem carbon model Environ. Model. Softw. (IF 4.8) Pub Date : 2025-02-10 Natalie Douglas, Tristan Quaife, Ross Bannister
The study presented here evaluates the ability of the 4DEnVar data assimilation technique to estimate the parameters from synthetically generated observations from a simple carbon model. The method is particularly attractive in its speed and ease of use, and its avoidance in construction of adjoint or tangent linear model code. Additionally, the assimilation analysis step can be performed independently
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Offloading decision and resource allocation in aerial computing: A comprehensive survey Comput. Sci. Rev. (IF 13.3) Pub Date : 2025-02-07 Ahmadun Nabi, Sangman Moh
Aerial computing can facilitate the successful execution of tasks, ensuring low latency for Internet of things (IoT) devices. It gains greater significance and practicality by offering both edge and cloud computing services for IoT applications. However, in aerial computing, resources such as computing power, energy, and bandwidth are limited and constrained. Consequently, certain tasks must be offloaded
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Design and Assurance of Control Software IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-02-07 Nancy G. Leveson
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Influence of the 1990 IEEE TSE Paper “Automated Software Test Data Generation” on Software Engineering IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-02-07 Bogdan Korel
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PSLSA v2.0: An automatic Python package integrating machine learning models for regional landslide susceptibility assessment Environ. Model. Softw. (IF 4.8) Pub Date : 2025-02-07 Zizheng Guo, Haojie Wang, Jun He, Da Huang, Yixiang Song, Tengfei Wang, Yuanbo Liu, Joaquin V. Ferrer
Accurate landslide susceptibility assessments (LSA) are crucial for civil protection and land use planning. This study introduces PSLSA v2.0 as an open-source Python package that can conduct LSA automatically. It integrates six sophisticated machine learning algorithms (C5.0, SVM, LR, RF, MLP, XGBoost), and allows arbitrary combinations of influencing factors to generate landslide susceptibility index
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Hybrid cellular automata-based air pollution model for traffic scenario microsimulations Environ. Model. Softw. (IF 4.8) Pub Date : 2025-02-07 Tabea S. Sonnenschein, Zhendong Yuan, Jibran Khan, Jules Kerckhoffs, Roel C.H. Vermeulen, Simon Scheider
Scenario microsimulations like agent-based models can account for feedbacks and spatio-temporal and social heterogeneity when projecting future intervention impacts. Addressing air pollution exposure requires traffic scenario models (i.e. of car-free zones). Traditional air pollution models do not meet all requirements for traffic scenario microsimulation: isolating traffic emission, integrating relevant
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Advances in natural language processing for healthcare: A comprehensive review of techniques, applications, and future directions Comput. Sci. Rev. (IF 13.3) Pub Date : 2025-02-06 Fatmah Alafari, Maha Driss, Asma Cherif
Natural Language Processing (NLP) techniques have gained significant traction within the healthcare domain for analyzing textual healthcare-related datasets, sourced primarily from Electronic Health Records (EHR) and increasingly from social networks. This study delves into applying NLP technologies within the healthcare sector, drawing insights from textual datasets from various sources. It reviews
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Advanced Systems for Environmental MonitoringJamalMabroukiMouradeAzrourIoT and the application of Artificial Intelligence2024Springer Nature SwitzerlandISBN 978-3-031-50860-8 (eBook) Environ. Model. Softw. (IF 4.8) Pub Date : 2025-02-06 Fransiskus Serfian Jogo, Hanum Khairana Fatmah, Aufaclav Zatu Kusuma Frisky
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Spatiotemporal [formula omitted] forecasting via dynamic geographical Graph Neural Network Environ. Model. Softw. (IF 4.8) Pub Date : 2025-02-06 Qin Zhao, Jiajun Liu, Xinwen Yang, Hongda Qi, Jie Lian
With the growing interest in data-driven methods, Graph Neural Networks (GNNs) have demonstrated strong performance in PM2.5 forecasting as a deep learning architecture. However, GNN-based methods typically construct the graph based solely on the distance between stations, and few methods introduce geographical factors that significantly affect the spatial dispersion of PM2.5, leading to performance
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A survey of heuristics for matrix bandwidth reduction Comput. Sci. Rev. (IF 13.3) Pub Date : 2025-02-05 S.L. Gonzaga de Oliveira
This paper surveys heuristic methods for matrix bandwidth reduction, including low-cost methods and metaheuristics. This optimization min–max problem represents a demanding problem for heuristic methods. This paper poses the graph layout problem with its formal definition. The study also considers the application domains in which practitioners employ the linear graph layout problem on general matrices
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A Reflection on Change Classification in the Era of Large Language Models IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-02-05 Sunghun Kim, Shivkumar Shivaji, Jim Whitehead
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Decision Support for Selecting Blockchain-Based Application Design Patterns with Layered Taxonomy and Quality Attributes IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-02-05 Yanze Wang, Yiling Huang, Jingyue Li, Shanshan Li, He Zhang, Jun lyu, Chenxing Zhong, Xiaodong Liu, Bohan Liu, Yue Liu, Qinghua Lu, Xin Zhou
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A Retrospective on Whole Test Suite Generation: On the Role of SBST in the Age of LLMs IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-02-05 Gordon Fraser, Andrea Arcuri
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Qualitative Research Methods in Software Engineering: Past, Present, and Future IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-02-04 Carolyn Seaman, Rashina Hoda, Robert Feldt
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On “Prioritizing Test Cases for Regression Testing” IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-02-04 Gregg Rothermel, Roland Untch
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A Retrospective of ChangeDistiller: Tree Differencing for Fine-Grained Source Code Change Extraction IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-02-04 Beat Fluri, Michael Würsch, Martin Pinzger, Harald Gall
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Program Slicing: A Brief Retrospective IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-02-04 Keith B. Gallagher, Suzanne J. Kozaitis
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ExMAD (Expert-based Multitemporal AI Detector): An open-source methodological framework for remote and field landslide inventory Environ. Model. Softw. (IF 4.8) Pub Date : 2025-02-04 Michele Licata, Stefano Faga, Giandomenico Fubelli
Landslides threaten lives and infrastructure, making accurate inventories crucial for risk management. This study combines expert methods with machine learning to automate and validate landslide detection and timing using Sentinel-2 satellite imagery. We developed ExMAD (Expert-based Multi-temporal AI Detector), an open-source methodological framework (https://github.com/NewGeoProjects/ExMAD) to integrate
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Direct Rendering of Intrinsic Triangulations ACM Trans. Graph. (IF 7.8) Pub Date : 2025-02-03 Waldemar Celes
Existing intrinsic triangulation frameworks represent powerful tools for geometry processing; however, they all require the extraction of the common subdivision between extrinsic and intrinsic triangulations for visualization and optimized data transfer. We describe an efficient and effective algorithm for directly rendering intrinsic triangulations that avoids extracting common subdivisions. Our strategy
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One Sentence Can Kill the Bug: Auto-replay Mobile App Crashes from One-sentence Overviews IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-02-03 Yuchao Huang, Junjie Wang, Zhe Liu, Mingyang Li, Song Wang, Chunyang Chen, Yuanzhe Hu, Qing Wang
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SWMManywhere: A workflow for generation and sensitivity analysis of synthetic urban drainage models, anywhere Environ. Model. Softw. (IF 4.8) Pub Date : 2025-02-02 Barnaby Dobson, Tijana Jovanovic, Diego Alonso-Álvarez, Taher Chegini
Improvements in public geospatial datasets provide opportunities for deriving urban drainage networks and simulation models of these networks (UDMs). We present SWMManywhere, which leverages such datasets for generating synthetic UDMs and creating a Storm Water Management Model for any urban area globally. SWMManywhere's modular and parameterised approach enables customisation to explore hydraulicly
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Machine learning in automated diagnosis of autism spectrum disorder: a comprehensive review Comput. Sci. Rev. (IF 13.3) Pub Date : 2025-02-01 Khosro Rezaee
Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition characterized by social communication challenges, repetitive behaviors, and restricted interests. Early and accurate diagnosis is paramount for effective intervention and treatment, significantly improving the quality of life for individuals with ASD. This comprehensive review aims to elucidate the various methodologies employed
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A simple method for the enhancement of river bathymetry in LiDAR DEM Environ. Model. Softw. (IF 4.8) Pub Date : 2025-02-01 Gabriele Farina, Marco Pilotti, Luca Milanesi, Giulia Valerio
The preparation of an accurate bathymetry is crucial for flood modeling and is usually done using a LiDAR-derived Digital Elevation Model (DEM). However, a recurrent flaw of LiDAR DEM is the presence of water along rivers, that prevents a careful reproduction of the river bed and channel conveyance. This paper provides a simple and effective algorithm to tackle this problem when ground surveyed cross
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A geospatial model for real-time predicting rural fire propagation velocity using dynamic algorithms and open data for advanced emergency management Environ. Model. Softw. (IF 4.8) Pub Date : 2025-02-01 Carlos Brys, David Luis La Red Martínez, Marcelo Marinelli
When a fire is detected in a rural environment, it is imperative to know the dynamics of the fire's development. Knowing the fire's trajectory is vital since the firefront will have shifted when first responders reach the ignition site. We developed a fast rural fire propagation calculation algorithm that can predict the fire front trajectory 6 h from the time of detection, taking as input data only
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Three “Influential” Software Design Papers IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-01-31 David Lorge Parnas
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A Reflection on “Advances in Software Inspections” IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-01-31 Adam A. Porter, Harvey Siy, Lawrence Votta
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How Do Developers Structure Unit Test Cases? An Empirical Analysis of the AAA Pattern in Open Source Projects IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-01-31 Chenhao Wei, Lu Xiao, Tingting Yu, Sunny Wong, Abigail Clune
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Model-Based Systems Engineering and TCAS II: Thirty Years Later IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-01-31 Mats P.E. Heimdahl, Nancy G. Leveson
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Retrospective: Data Mining Static Code Attributes to Learn Defect Predictors IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-01-31 Tim Menzies
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Simplifying and Isolating Failure-Inducing Input: A Retrospective on Delta Debugging IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-01-31 Andreas Zeller, Ralf Hildebrandt
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PATEN: Identifying Unpatched Third-Party APIs via Fine-grained Patch-enhanced AST-level Signature IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-01-31 Li Lin, Jialin Ye, Chao Wang, Rongxin Wu
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Amadeus: Accessing and analyzing large scale environmental data in R Environ. Model. Softw. (IF 4.8) Pub Date : 2025-01-31 Mitchell Manware, Insang Song, Eva S. Marques, Mariana Alifa Kassien, Lara P. Clark, Kyle P. Messier
Environmental health research increasingly uses large scale spatial data to understand relationships between environmental factors and health outcomes. Data access and analysis tools which improve the timeliness and reproducibility of environmental health research are crucial for advancing the field. We present the amadeus package for R, a tool to improve access to and utility with large scale environmental
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WebAssembly and security: A review Comput. Sci. Rev. (IF 13.3) Pub Date : 2025-01-30 Gaetano Perrone, Simon Pietro Romano
WebAssembly is revolutionizing the approach to developing modern applications. Although this technology was born to create portable and performant modules in web browsers, currently, its capabilities are extensively exploited in multiple and heterogeneous use-case scenarios. With the extensive effort of the community, new toolkits make the use of this technology more suitable for real-world applications
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Ten Years of Journal First Publication in Software Engineering IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-01-30 Matthew B. Dwyer
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AFLNet Five Years Later: On Coverage-Guided Protocol Fuzzing IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-01-30 Ruijie Meng, Van-Thuan Pham, Marcel Böhme, Abhik Roychoudhury
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Object-Oriented Development, Revisited IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-01-30 G. Booch
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Retrospective on: Constraint-Based Automatic Test Data Generation IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-01-30 Jeff Offutt, Richard DeMillo
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Adaptive Surrogate Model Assisted Swarm Intelligence for Parameter Inversion of complex hydrological models Environ. Model. Softw. (IF 4.8) Pub Date : 2025-01-30 Guhan Li, Peng Shi, Simin Qu, Lingzhong Kong, Xiaohua Xiang, Qian Yang, Yu Qiao, Shiyu Lu
Parameter inversion in hydrological models aims to estimate parameters from observed data, improving accuracy and understanding of the system. This process typically involves optimization algorithms to identify optimal parameter combinations, often resulting in significant computational costs due to the necessity for numerous model runs, particularly in complex hydrological models. To address this
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MANG@COAST: A spatio-temporal modeling approach of muddy shoreline mobility based on mangrove monitoring Environ. Model. Softw. (IF 4.8) Pub Date : 2025-01-30 P.E. Augusseau, C. Proisy, A. Gardel, G. Brunier, L. Granjon, T. Maury, A. Mury, A. Staquet, V.F. Santos, R. Walcker, P. Degenne, D. Lo Seen, E.J. Anthony
Highly dynamic wave-exposed muddy coasts harbouring mangrove ecosystems can be subject to both marked accretion and erosion depending on the complex interactions between mud and waves. We propose a multiscale modelling approach and empirical equations calibrated and integrated into a landscape dynamics model implemented on a mud-bank coast using the Ocelet language to simplify the complex processes
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Derivation of characteristic physioclimatic regions through density-based spatial clustering of high-dimensional data Environ. Model. Softw. (IF 4.8) Pub Date : 2025-01-28 Sebastian Lehner, Katharina Enigl, Matthias Schlögl
Physioclimatic regions are homogeneous geospatial entities that exhibit similar characteristics in both climatic conditions and the physiographic environment. They provide a foundation for a broad range of analyses in earth system sciences that are conditional on the prevailing climatological properties shaping geographical areas. However, delineating such regions is challenging due to high-dimensional
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SmartOracle: Generating Smart Contract Oracle via Fine-Grained Invariant Detection IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-01-27 Jianzhong Su, Jiachi Chen, Zhiyuan Fang, Xingwei Lin, Yutian Tang, Zibin Zheng
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Retrospective: An Empirical Study of Speed and Communication in Globally Distributed Software Development IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-01-27 James Herbsleb, Audris Mockus
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From Executable Specifications to Hard-to-Specify Requirements: Challenges in Describing Reactive System Behavior IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-01-27 David Harel, Assaf Marron
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A Retrospective on How Developers Seek, Relate, and Collect Information About Code IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-01-27 Amy J. Ko, Brad A. Myers, Michael Coblenz, Htet Htet Aung
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Recovering Traceability Links Between Code and Documentation: a Retrospective IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-01-27 Giuliano Antoniol, Gerardo Canfora, Gerardo Casazza, Andrea De Lucia, Ettore Merlo
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“Estimating software project effort using analogies”: Reflections after 28 years IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-01-27 Martin Shepperd
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Reflections on McCabe’s Cyclomatic Complexity IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-01-27 Dennis Kafura
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MM-SCS: Leveraging Multimodal Features to Enhance Smart Contract Code Search IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-01-27 Chaochen Shi, Yong Xiang, Jiangshan Yu, Longxiang Gao
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A Retrospective on Mining Version Histories to Guide Software Changes IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-01-27 Thomas Zimmermann, Peter Weißgerber, Stephan Diehl, Andreas Zeller
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Obstacle Analysis in Requirements Engineering: Retrospective and Emerging Challenges IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-01-27 Emmanuel Letier, Axel van Lamsweerde
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Looking Back on Recovery Blocks and Conversations IEEE Trans. Softw. Eng. (IF 6.5) Pub Date : 2025-01-27 Brian Randell, Jie Xu