Table of Contents

• Harden and Catch for Just-in-Time Assured LLM-Based Software Testing: Open Research ChallengesMark Harman, Peter W. O'Hearn, Shubho Sengupta. 1-17 [doi]
• Can the Rising Tide of Software Supply Chain Attacks Raise All Software Engineering Boats?Laurie A. Williams, Sivana Hamer, Nusrat Zahan. 18-26 [doi]
• dl²: Detecting Communication Deadlocks in Deep Learning JobsYanjie Gao, Jiyu Luo, Haoxiang Lin, Hongyu Zhang 0002, Ming Wu 0007, Mao Yang 0004. 27-38 [doi]
• LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License ComplianceJingwen Tan, Gopi Krishnan Rajbahadur, Zi Li, Xiangfu Song, Jianshan Lin, Dan Li 0016, Zibin Zheng, Ahmed E. Hassan. 39-50 [doi]
• L4: Diagnosing Large-scale LLM Training Failures via Automated Log AnalysisZhihan Jiang, Junjie Huang 0008, Guangba Yu, Zhuangbin Chen, Yichen Li 0003, Renyi Zhong, Cong Feng, Yongqiang Yang, Zengyin Yang, Michael R. Lyu. 51-63 [doi]
• LLM App Squatting and CloningYinglin Xie, Xinyi Hou, Yanjie Zhao 0001, Kai Chen 0012, Haoyu Wang 0001. 64-74 [doi]
• From Prompts to Templates: A Systematic Prompt Template Analysis for Real-world LLMappsYuetian Mao, Junjie He, Chunyang Chen 0001. 75-86 [doi]
• Pursuit of Automotive Software Variant Reduction for Engineering SimplicityVard Antinyan. 87-92 [doi]
• RAG or Fine-tuning? A Comparative Study on LCMs-based Code Completion in IndustryChaozheng Wang, Zezhou Yang, Shuzheng Gao, Cuiyun Gao 0001, Ting Peng, Hailiang Huang, Yuetang Deng, Michael R. Lyu. 93-104 [doi]
• Designing for Scalability: Building a Universal Serverless Messaging Architecture with Apache RocketMQJuntao Ji, Yubao Fu, Rongtong Jin, Qingshan Lin. 105-110 [doi]
• Te-PID: An Adaptive Erasure Coding Temperature Management System for Optimized Cloud StoragePei Xiao 0007, Lu Wang 0029, Fangkai Yang, Guoqing Geng, Haoran Li, Jeff Zhu, Yu Kang 0006, Yifan Li, Terry Chen, Yue Chen, Saravan Rajmohan, Qi Zhang 0066. 111-121 [doi]
• An Empirical Study of Issues in Large Language Model Training SystemsYanjie Gao, Ruiming Lu, Haoxiang Lin, Yueguo Chen. 122-133 [doi]
• ROSE LCOM ToolsKenneth Lamar, Peter Pirkelbauer, Zachary Painter, Damian Dechev. 134-143 [doi]
• LSPAI: An IDE Plugin for LLM-Powered Multi-Language Unit Test Generation with Language Server ProtocolGwihwan Go, Chijin Zhou, Quan Zhang, Yu Jiang 0001, Zhao Wei. 144-149 [doi]
• Natural Language Outlines for Code: Literate Programming in the LLM EraKensen Shi, Deniz Altinbüken, Saswat Anand, Mihai Christodorescu, Katja Grünwedel, Alexa Koenings, Sai Naidu, Anurag Pathak, Marc Rasi, Fredde Ribeiro, Brandon Ruffin, Siddhant Sanyam, Maxim Tabachnyk, Sara Toth, Roy Tu, Tobias Welp, Pengcheng Yin, Manzil Zaheer, Satish Chandra 0001, Charles Sutton. 150-161 [doi]
• Migrating Code At Scale With LLMs At GoogleCelal Ziftci, Stoyan Nikolov, Anna Sjövall, Bo Kim, Daniele Codecasa, Max Kim. 162-173 [doi]
• ProphetAgent: Automatically Synthesizing GUI Tests from Test Cases in Natural Language for Mobile AppsQichao Kong, Zhengwei Lv, Yiheng Xiong, Dingchun Wang, Jingling Sun, Ting Su 0001, Letao Li, Xu Yang, Gang Huo. 174-179 [doi]
• Mutation-Guided LLM-based Test Generation at MetaMark Harman, Jillian Ritchey, Inna Harper, Shubho Sengupta, Ke Mao, Abhishek Gulati, Christopher Foster, Hervé Robert. 180-191 [doi]
• TestGPT-Server: Automatically Testing Microservices with Large Language Models at ByteDanceJue Wang, Shuxiang Chen, Yu Liu, Yuan Deng, Lei Zhang, Yuanchang Fu, Bo Liu. 192-203 [doi]
• Grey-Box Fuzzing in Constrained Ultra-Large Systems: Lessons for SE CommunityJiazhao Yu, Yanlun Tu, Zhanlei Zhang, Tiehua Zhang, Cheng Xu, Weigang Wu, Hong Jin Kang, Xi Zheng 0001. 204-214 [doi]
• LLM-Augmented Ticket Aggregation for Low-cost Mobile OS Defect ResolutionYongqian Sun, Bowen Hao, Xiaotian Wang, Chenyu Zhao, Yongxin Zhao, Binpeng Shi, Shenglin Zhang, Qiao Ge, Wenhu Li, Hua Wei, Dan Pei. 215-226 [doi]
• Automated Testing of COBOL to Java TransformationSandeep Hans, Atul Kumar 0002, Toshiaki Yasue, Kouichi Ono, Saravanan Krishnan, Devika Sondhi, Fumiko Satoh, Gerald Mitchell, Sachin Kumar, Diptikalyan Saha. 227-237 [doi]
• Alibaba LingmaAgent: Improving Automated Issue Resolution via Comprehensive Repository ExplorationYingwei Ma, Qingping Yang, Rongyu Cao, Binhua Li, Fei Huang 0002, Yongbin Li. 238-249 [doi]
• SemServGen: Advancing Industrial Domain-Specific Language Engineering through Semantic Service GenerationYong Wang, Ning Ge 0002, Jingyao Li, Loulin Wang, Guangyu Zhou, Chengrui Deng, Li Zhang 0029, Chunming Hu. 250-261 [doi]
• Efficient and Robust Security-Patch Localization for Disclosed OSS Vulnerabilities with Fine-Tuned LLMs in an Industrial SettingDezhi Ran, Lin Li, Liuchuan Zhu, Yuan Cao, Landelong Zhao, Xin Tan, Guangtai Liang, Qianxiang Wang, Tao Xie 0001. 262-273 [doi]
• BitsAI-CR: Automated Code Review via LLM in PracticeTao Sun, Jian Xu, Yuanpeng Li 0008, Zhao Yan, Ge Zhang, Lintao Xie, Lu Geng, Zheng Wang, Yueyan Chen, Qin Lin, Wenbo Duan, Kaixin Sui, Yuanshuo Zhu. 274-285 [doi]
• Enhancing Game AI Behaviors with Large Language Models and Agentic AICiprian Paduraru, Miruna Paduraru, Alin Stefanescu. 286-296 [doi]
• OurCode: Experiences Transitioning University Research into a Developer Tools StartupConsuelo Lopez, Sahar Mehrpour, Austin Z. Henley, Thomas D. LaToza. 297-307 [doi]
• Codellm-Devkit: A Framework for Contextualizing Code LLMs with Program Analysis InsightsRahul Krishna, Rangeet Pan, Saurabh Sinha, Srikanth Tamilselvam, Raju Pavuluri, Maja Vukovic. 308-318 [doi]
• HapRepair: Learn to Repair OpenHarmony AppsZhihao Lin, Mingyi Zhou, Wei Ma, Chi Chen, Yun Yang 0003, Jun Wang 0020, Chunming Hu, Li Li 0029. 319-330 [doi]
• AEGIS: An Agent-based Framework for Bug Reproduction from Issue DescriptionsXinchen Wang, Pengfei Gao, Xiangxin Meng, Chao Peng 0002, Ruida Hu, Yun Lin, Cuiyun Gao 0001. 331-342 [doi]
• TickIt: Leveraging Large Language Models for Automated Ticket EscalationFengrui Liu, Xiao He 0008, Tieying Zhang, Jianjun Chen 0001, Yi Li, Lihua Yi, Haipeng Zhang, Gang Wu, Rui Shi. 343-354 [doi]
• Using Large Language Models to Support the Workflow of Differential TestingArun Krishna Vajjala, Ajay Krishna Vajjala, Carmen Badea, Christian Bird, Jade D'Souza, Robert DeLine, Mikhail O. Demyanyuk, Jason Entenmann, Nicole Forsgren, Aliaksandr Hramadski, Haris Mohammad, Sandeepan Sanyal, Oleg Surmachev, Thomas Zimmermann 0001. 355-365 [doi]
• Evaluating Large Language Models for Requirements Question Answering in Industrial Aerospace SoftwareLongxing Yang, Yixing Luo, Hao Gao, Yingshuang Fan, Jingru Zhang, Xiaofeng Li, Xiaogang Dong, Bin Gu, Zhi Jin, Mengfei Yang. 366-377 [doi]
• A Multimodal Intelligent Change Assessment Framework for Microservice Systems Based on Large Language ModelsYongqian Sun, Tinghua Zheng, Xidao Wen, Weihua Kuang, Heng Liu, Shenglin Zhang, Chao Shen, Bo Wu, Dan Pei. 378-388 [doi]
• AutoTracer: A Low-Overhead Tracing Framework for Autonomous Driving SystemBo Jiang, Fancheng Shu, Yuyang Cui, Xiangjie Wang, Peng Tang, Lei Wang, Weiping Zhang, Yong Wang, Guobin Wu 0001. 389-399 [doi]
• When Should I Run My Application Benchmark?: Studying Cloud Performance Variability for the Case of Stream Processing ApplicationsSören Henning, Adriano Vogel, Esteban Pérez-Wohlfeil, Otmar Ertl, Rick Rabiser. 400-410 [doi]
• Behind the Hot Fix: Demystifying Hot Fixing Industrial Practices at Zühlke and BeyondCarol Hanna, David Elliman, Wolgang Emmerich, Federica Sarro, Justyna Petke. 411-421 [doi]
• HapTest: The Dynamic Analysis Framework for OpenHarmonyFarong Liu, Mingyi Zhou, Yakun Zhang 0001, Ting Su 0001, Bo Sun, Jacques Klein, Xiang Gao 0012, Li Li 0029. 422-431 [doi]
• Risk Assessment Framework for Code LLMs via Leveraging Internal StatesYuheng Huang, Lei Ma, Keizaburo Nishikino, Takumi Akazaki. 432-443 [doi]
• Quantifying the benefits of code hints for refactoring deprecated Java APIsCristina David, Pascal Kesseli, Daniel Kroening, Hanliang Zhang. 444-455 [doi]
• Can Generative AI Produce Test Cases? An Experience from the Automotive DomainStephen Wynn-Williams, Ryan Tyrrell, Vera Pantelic, Mark Lawford, Claudio Menghi, Phaneendra Nalla, Hassan Artail. 456-467 [doi]
• Towards Mitigating API Hallucination in Code Generated by LLMs with Hierarchical Dependency AwareYujia Chen, Mingyu Chen, Cuiyun Gao, Zhihan Jiang, Zhongqi Li, Yuchi Ma. 468-479 [doi]
• The Promise and Pitfalls of WebAssembly: Perspectives from the IndustryNingyu He, Shangtong Cao, Haoyu Wang 0001, Yao Guo 0001, Xiapu Luo. 480-490 [doi]
• Are iOS Apps Immune to Abusive Advertising Practices?Tianming Liu 0002, Jiapeng Deng, Yanjie Zhao 0001, Xiao Chen 0002, Xiaoning Du 0001, Li Li 0029, Haoyu Wang 0001. 491-502 [doi]
• OpsEval: A Comprehensive Benchmark Suite for Evaluating Large Language Models' Capability in IT Operations DomainYuhe Liu, Changhua Pei, Longlong Xu, Bohan Chen, Mingze Sun, Zhirui Zhang, Yongqian Sun, Shenglin Zhang, Kun Wang, Haiming Zhang 0002, Jianhui Li, Gaogang Xie, Xidao Wen, Xiaohui Nie, Minghua Ma, Dan Pei. 503-513 [doi]
• Dynamic Application Security Testing for Kubernetes Deployment: An Experience Report from IndustryShazibul Islam Shamim, Hanyang Hu, Akond Rahman. 514-519 [doi]
• LLMs for Defect Prediction in Evolving Datasets: Emerging Results and Future DirectionsUmamaheswara Sharma Bhutamapuram, Farhan Chonari, Gokul K. Anilkumar, Sai Kiran Konchada. 520-524 [doi]
• AgentFM: Role-Aware Failure Management for Distributed Databases with LLM-Driven Multi-AgentsLingzhe Zhang, Yunpeng Zhai, Tong Jia, Xiaosong Huang, Chiming Duan, Ying Li 0012. 525-529 [doi]
• Knowledge-Based Multi-Agent Framework for Automated Software Architecture DesignYiran Zhang, Ruiyin Li, Peng Liang 0001, Weisong Sun, Yang Liu 0003. 530-534 [doi]
• Polymer: Development Workflows as SoftwareDhasarathy Parthasarathy, Yinan Yu, Earl T. Barr. 535-539 [doi]
• Do you have 5 min? Improving Call Graph Analysis with Runtime InformationJordan Samhi, Marc Miltenberger, Marco Alecci, Steven Arzt, Tegawendé F. Bissyandé, Jacques Klein. 540-544 [doi]
• Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse RecomputationHaoxiang Lin, Yang Wang 0053, Yanjie Gao, Hongyu Zhang 0002, Ming Wu 0007, Mao Yang 0004. 545-549 [doi]
• GAFLERNA Ahoy! Integrating EM Side-Channel Analysis into Traditional Fuzzing WorkflowsJorge Barredo, Justyna Petke, David Clark 0001, Daniel Blackwell, Maialen Eceiza, Jose Luis Flores 0001, Mikel Iturbe. 550-554 [doi]
• Introducing Repository StabilityGiuseppe Destefanis, Silvia Bartolucci, Daniel Graziotin, Rumyana Neykova, Marco Ortu. 555-560 [doi]
• Emerging Results in Using Explainable AI to Improve Software Vulnerability PredictionFahad Al Debeyan, Tracy Hall, Lech Madeyski. 561-565 [doi]
• NeuroStrata: Harnessing Neuro-Symbolic Paradigms for Improved Testability and Verifiability of Autonomous CPSXi Zheng 0001, Ziyang Li, Ivan Ruchkin, Ruzica Piskac, Miroslav Pajic. 566-570 [doi]
• Beyond Software Families: Community-Driven VariabilityRoman Bögli, Alexander Boll, Alexander Schultheiß, Timo Kehrer. 571-575 [doi]
• "Silent Is Not Actually Silent": An Investigation of Toxicity on Bug Report DiscussionMia Mohammad Imran, Jaydeb Sarker. 576-580 [doi]
• Non-Knowledge as a New Lens on Software EngineeringJacob Krüger, Xenia Marlene Zerweck, Sol Martinez Demarco, Alena Bleicher, Thomas Leich. 581-585 [doi]
• To Co-locate or Not to Co-locate? On the Impact of Hybrid Work to Software Design ProcessTommi Mikkonen, Mahum Adil, Ilenia Fronza, Gennaro Iaccarino, Petri Ihantola. 586-590 [doi]
• Support, Not Automation: Towards AI-supported Code Review For Code Quality and BeyondLo Heander, Emma Söderberg, Christofer Rydenfält. 591-595 [doi]
• Exploring Variable Potential for LLM-based Log Parsing Efficiency and Reduced CostsJinrui Sun, Tong Jia, Minghua He, Yihan Wu, Ying Li 0012, Gang Huang 0001. 596-600 [doi]
• Capturing Semantic Flow of ML-based SystemsShin Yoo, Robert Feldt, Somin Kim, Naryeong Kim. 601-605 [doi]
• Toward LLM-Driven GDPR Compliance Checking for Android AppsMarco Alecci, Nicolas Sannier, Marcello Ceci, Sallam Abualhaija, Jordan Samhi, Domenico Bianculli, Tegawendé F. Bissyandé, Jacques Klein. 606-610 [doi]
• Efficient Test Generation for Dynamic Behaviors Leveraging Token-Level Input CommonalitiesYuxin Qiu, Qian Zhang 0020. 611-615 [doi]
• Enhancing Code LLM Training with Programmer AttentionYifan Zhang, Chen Huang, Zachary Karas, Dung Thuy Nguyen, Kevin Leach, Yu Huang 0015. 616-620 [doi]
• Teamwork makes the dream work: LLMs-Based Agents for GitHub README.MD SummarizationDuc S. H. Nguyen, Bach G. Truong, Phuong T. Nguyen 0001, Juri Di Rocco, Davide Di Ruscio. 621-625 [doi]
• Breaking the Loop: AWARE is the New MAPE-KBrell Peclard Sanwouo Chekam, Clément Quinton, Paul Temple. 626-630 [doi]
• Augmenting Software Bills of Materials with Software Vulnerability Description: A Preliminary Study on GitHubDavide Fucci, Massimiliano Di Penta, Simone Romano 0001, Giuseppe Scanniello. 631-635 [doi]
• Towards Adaptive Software Agents for DebuggingYacine Majdoub, Eya Ben Charrada, Haifa Touati. 636-640 [doi]
• Enabling Scalable Proactive Workspaces With Environment-Wide ContextNick C. Bradley, Thomas Fritz 0001, Reid Holmes. 641-645 [doi]
• Predictive Prompt AnalysisJae-Yong Lee, Sungmin Kang, Shin Yoo. 646-650 [doi]
• SmartShift: A Secure and Efficient Approach to Smart Contract MigrationTahrim Hossain, Faisal Haque Bappy, Tarannum Shaila Zaman, Raiful Hasan, Tariqul Islam 0001. 651-655 [doi]
• From Overload to Insight: Bridging Code Search and Code Review with LLMsNikitha Rao, Bogdan Vasilescu, Reid Holmes. 656-660 [doi]
• From Few-Label to Zero-Label: An Approach for Cross-System Log-Based Anomaly Detection with Meta-LearningXinlong Zhao, Tong Jia, Minghua He, Yihan Wu, Ying Li, Gang Huang. 661-665 [doi]
• Measuring What Matters: An Aggregate Metric for Assessing Enterprise Code SummariesAshita Saxena, Palanivel A. Kodeswaran, Sayandeep Sen, Srikanth Tamilselvam. 666-670 [doi]
• Collaboration is all you need: LLM Assisted Safe Code TranslationRabimba Karanjai, Sam Blackshear, Lei Xu 0012, Weidong Shi. 671-675 [doi]
• Can Hessian-Based Insights Support Fault Diagnosis in Attention-based Models?Sigma Jahan, Mohammad Masudur Rahman 0001. 676-680 [doi]
• Learning to Edit Interactive Machine Learning NotebooksBihui Jin, Jiayue Wang, Pengyu Nie 0001. 681-685 [doi]
• CLSLog: Collaborating Large and Small Models for Log-based Anomaly DetectionPei Xiao 0007, Tong Jia, Chiming Duan, Minghua He, Weijie Hong, Xixuan Yang, Yihan Wu, Ying Li 0012, Gang Huang 0001. 686-690 [doi]
• Drop the Golden Apples: Identifying Third-Party Reuse by DB-Less Software Composition AnalysisLyuye Zhang, Chengwei Liu, Jiahui Wu, Shiyang Zhang, Chengyue Liu, Zhengzi Xu, Sen Chen 0001, Yang Liu 0003. 691-695 [doi]
• HyperSeq: A Hyper-Adaptive Representation for Predictive Sequencing of StatesRoham Koohestani, Maliheh Izadi. 696-700 [doi]
• Missing Threats: Dealing with the Treatment-sensitive Factorial Structure Bias in Empirical Software EngineeringSabato Nocera, Giuseppe Scanniello. 701-705 [doi]
• Compiler Optimization Testing Based on Optimization-Guided Equivalence TransformationsJingwen Wu, Jiajing Zheng, Zhenyu Yang, Zhongxing Yu. 706-710 [doi]
• An Empirical Study of the Error Characteristics in an Online Judge SystemShota Shimizu, Erina Makihara, Norihiro Yoshida. 711-721 [doi]
• Layered Learning: Teaching CI/CD and Software Testing through StorytellingBogdan Iudean, Andreea Vescan. 722-731 [doi]
• Enhancing Learning and Mitigating AI-Assisted Misconduct: A Case of Using Video Assignments in a High-Enrollment Software Engineering CourseAndrey Saltan. 732-737 [doi]
• Sojourner under Sabotage: A Serious Testing and Debugging GamePhilipp Straubinger, Tim Greller, Gordon Fraser 0001. 738-748 [doi]
• Analyzing the Communication Patterns of Different Teammate Types in a Software Engineering Course ProjectYanye Luther, Lindsey Nielsen, Logan Cadman, Marcia Moraes, Sudipto Ghosh 0001, Bianca Trinkenreich. 749-759 [doi]
• Preparing Autistic Students for the AI WorkforceJiWoong Jang, Ren Butler, Rory McDaniel, Aidan San, D. Matthew Boyer, Somayeh Asadi, Richard Kubina, Taniya Mishra, Andrew Begel. 760-771 [doi]
• Factors Influencing Gender Representation in IT Faculty Programmes: Insights with a Focus on Software Engineering in a Nordic ContextCristina Martinez Montes, Jonna Johansson, Emrik Dunvald. 772-782 [doi]
• "Person is a person, a tool is a tool" - ChatGPT's Role in Student Help-Seeking Behavior and Peer SupportSonja Hyrynsalmi, Micheal Tuape, Antti Knutas. 783-788 [doi]
• Applying Large Language Models to Enhance the Assessment of Java Programming AssignmentsSkyler Grandel, Douglas C. Schmidt, Kevin Leach. 789-799 [doi]
• Empirical Study and Vision for a Holistic Serious Game Platform for Software Engineering EducationNiklas Meißner, Sandro Speth, Steffen Becker 0001, Uwe Breitenbücher. 800-805 [doi]
• An Interdisciplinary approach to holistic engineering course development: Framework and PracticeJin Zhang, Jun Li, Yihong Fan, Li Hao, Naiqi Yang. 806-816 [doi]
• Creating a Student-Friendly PaaS Platform: Experiences with Tsuru in Software Engineering EducationRobert Chatley, Jason Bailey, Ivan Procaccini, Zaki Amin, Estíbaliz Fraca. 817-822 [doi]
• Evaluating the Impact of Scaffolding and Visualizations for Mutation Testing Exercises in Software Engineering EducationHannah Potter, Ana C. R. Paiva, Domenico Amalfitano, Anna Rita Fasolino, Porfirio Tramontana, René Just. 823-834 [doi]
• Enhancing Motivation in Software Engineering Education through Gamified Agile Project-based LearningNiklas Meißner, Paul Bredl, Sandro Speth, Steffen Becker 0001. 835-846 [doi]
• Analyzing the Role of Emotions on Performance in Hybrid Capstone ProjectsWardah Naeem Awan, Iflaah Salman, Maria Paasivaara, Peter A. Gloor. 847-858 [doi]
• Exploring the Untapped: Student Perceptions and Participation in OSSÍtalo Santos, Kátia Romero Felizardo, Bianca Trinkenreich, Daniel M. Germán, Igor Steinmacher, Marco Aurélio Gerosa. 859-870 [doi]
• A Comparative Study on ChatGPT and Checklist as Support Tools for Unit Testing EducationZihan Fang, Jiliang Li, Anda Liang, Gina R. Bai, Yu Huang 0015. 871-882 [doi]
• How do Software Engineering Candidates Prepare for Technical Interviews?Brian Bell, Teresa Thomas, Sang-Won Lee, Chris Brown. 883-894 [doi]
• UML Crisis! An Educational PerspectiveZheng Li 0001, Aidan McGowan, Yan Liu 0001, Abdelwahab Hamou-Lhadj. 895-900 [doi]
• Direct Automated Feedback Delivery for Student Submissions based on LLMsMaximilian Sölch 0002, Felix T. J. Dietrich, Stephan Krusche. 901-911 [doi]
• Decoding Student Rating Behaviors: A Comparative Study of Frequent Self and Peer Assessments in Team ProjectsYu Lu, André van der Hoek. 912-923 [doi]
• Understanding Comparative Comprehension Barriers for Students during Code Review through SimplificationNick Case, John-Paul Ore, Kathryn T. Stolee. 924-935 [doi]
• Navigating Academic Careers in Software Engineering: An Empirical Study of Faculty and Postdoctoral RolesMohamad Kassab. 936-946 [doi]
• What do professional software developers need to know to succeed in an age of Artificial Intelligence?Matthew Kam, Cody Miller, Miaoxin Wang, Abey Tidwell, Irene A. Lee, Joyce Malyn-Smith, Beatriz Perret, Vikram Tiwari, Joshua Kenitzer, Andrew Macvean, Erin Barrar. 947-958 [doi]
• Identifying Project Management Skills in Industry-Driven Capstone ProjectsEleni Chatzidaki, Sofia Papavlasopoulou, Letizia Jaccheri, Michail Giannakos. 959-969 [doi]
• The Impact of Multi-Peer Feedback Summary Organization on Review and Implementation of FeedbackSomayeh Bayat Esfandani, Trond Aalberg. 970-975 [doi]
• Teamwork Quality in Agile Capstone Courses: Insights from 790 Software Engineering StudentsCamilla Kielland Lund, Idunn Stabell, Viktoria Stray, Yngve Lindsjørn. 976-986 [doi]
• DevCoach: Supporting Students Learning the Software Development Life Cycle with a Generative AI powered Multi-Agent SystemTianjia Wang, Matthew Trimble, Chris Brown 0001. 987-998 [doi]
• Advancing Software Product Management Education: Insights from an Industry SurveyHannah Estes, Katie Hollowell, John Cheek, Shiv Patel, Hanna Reese, Kathryn T. Stolee. 999-1009 [doi]
• Ever-Improving Test Suite by Leveraging Large Language ModelsKetai Qiu. 1010-1012 [doi]
• Automating API Documentation with LLMs: A BERTopic ApproachAmirHossein Naghshzan. 1013-1015 [doi]
• Test Script Repair of Deep Learning Library TestingXing Fu. 1016-1018 [doi]
• Predicting Software Changes from Desired Behavior ChangesLaura Plein. 1019-1021 [doi]
• AutoReview: An LLM-based Multi-Agent System for Security Issue-Oriented Code ReviewYujia Chen. 1022-1024 [doi]
• DReM: Efficiently Generating Domain-Specific Requirements Modeling ToolRuixin Geng, Jiahao Weng, Ning Ge 0002, Jingyao Li, Chunming Hu. 1025-1029 [doi]
• Analyzing Evolution of Microservice-based SystemsTomás Cerný, Gabriel Goulis, Samantha Perry, Malia Edmonds, Amr S. Abdelfattah, Matteo Esposito 0001, Alexander Bakhtin, Valentina Lenarduzzi, Davide Taibi 0001. 1030-1034 [doi]
• AutoPyDep: A Recommendation System for Python Dependency Management Utilizing Graph-Based AnalyticsDibyendu Brinto Bose, Travis Chan, Matthew Trimble, Chris Brown 0001. 1035-1039 [doi]
• PCLA: A Framework for Testing Autonomous Agents in the CARLA SimulatorMasoud Jamshidiyan Tehrani, Jinhan Kim, Paolo Tonella. 1040-1044 [doi]
• Dirty-Waters: Detecting Software Supply Chain SmellsRaphina Liu, Sofia Bobadilla, Benoit Baudry, Martin Monperrus. 1045-1049 [doi]
• JSSpecVis: A JavaScript Language Specification Visualization ToolMinseok Choe, Kyungho Song, Hyunjoon Kim, Jihyeok Park. 1050-1054 [doi]
• DynDebloater: Dynamically Debloating Unwanted Features of Android Apps without APK ModificationZicheng Zhang, Jiakun Liu, Ferdian Thung, Xing Hu 0008, Wei Minn, Yan Naing Tun, Lwin Khin Shar, David Lo 0001, Debin Gao. 1055-1059 [doi]
• VO-GCSE: Verification Optimization through Global Common Subexpression EliminationRafael Sá Menezes, Norbert Tihanyi, Ridhi Jain, Alexander Levin, Rosiane de Freitas, Lucas C. Cordeiro. 1060-1064 [doi]
• ClusterXplain: a Clustering-based Tool for DNN components DebuggingMohammed Oualid Attaoui, Fabrizio Pastore. 1065-1069 [doi]
• Visualising Developer Interactions in Code ReviewsDaniel Bee, DongGyun Han. 1070-1073 [doi]
• LitmusKt: Concurrency Stress Testing for KotlinDenis Lochmelis, Evgenii Moiseenko, Yaroslav Golubev, Anton Podkopaev. 1074-1078 [doi]
• Merlin-A: A tool to engineer adaptive modelling languagesEsther Guerra, Juan de Lara. 1079-1083 [doi]
• Widening The Adoption of Web API Fuzzing: Docker, GitHub Action and Python Support for EvoMasterAndrea Arcuri, Philip Garrett, Juan Pablo Galeotti, Man Zhang 0001. 1084-1088 [doi]
• pytest-ranking: A Regression Test Prioritization Tool for PythonRunxiang Cheng, Kaiyao Ke, Darko Marinov. 1089-1093 [doi]
• CloudHeatMap: Heatmap-Based Monitoring for Large-Scale Cloud SystemsSarah Sohana, William Pourmajidi, John Steinbacher, Andriy V. Miranskyy. 1094-1098 [doi]
• HazSim: An Urban Driving Simulator for Testing Perception Systems of ADSes Against HazardsXiaodong Zhang 0014, Jie Bao, Yulong Shen, Qin Xia, Zijiang Yang 0004. 1099-1103 [doi]
• IceBear: A Fine-Grained Incremental Scheduler for C/C++ Static AnalyzersYu Xiao, Xutong Ma, Zhilin Li, Jun Yan. 1104-1108 [doi]
• TS-Detector : Detecting Feature Toggle Usage PatternsTajmilur Rahman, Mengzhe Fei, Tushar Sharma, Chanchal Roy. 1109-1113 [doi]
• SpecChecker-Int: An Extensible Concurrency Bugs Detection Tool for Interrupt-driven Embedded SoftwareBoxiang Wang, Chao Li, Rui Chen, Sheng Wang, Chunpeng Jia, Mengfei Yang. 1114-1118 [doi]
• GIVUP: Automated Generation and Verification of Textual Process DescriptionsQuentin Nivon, Gwen Salaün, Frédéric Lang. 1119-1123 [doi]
• HeaderSplit: An Automated Tool for Splitting Header Files in C ProjectsYue Wang, Jiaxuan Sun, Tongwei Deng, Wenhui Chang, Yanzhen Zou, Bing Xie. 1124-1128 [doi]
• FAMLEM, the FAst ModuLar Energy Meter at Code LevelMax Weber, Johannes Dorn, Sven Apel, Norbert Siegmund. 1129-1133 [doi]
• PF2UML: A Tool for Problem-Oriented Requirements Modeling and TransformationHongbin Xiao, Zhi Li 0017, Yilong Yang 0001, Fei Tang, Dongming Jin. 1134-1138 [doi]
• MITHRAS: A Dynamic Analysis Framework for the Mobile-IoT EcosystemFrancesco Pagano, Mariano Ceccato, Alessio Merlo, Paolo Tonella. 1139-1142 [doi]
• jAST: Analyzing and Modifying Java ASTs with PythonMarius Smytzek, Martin Eberlein, Lars Grunske, Andreas Zeller. 1143-1147 [doi]
• Theano: A Tool for Verifying the Consistency and Completeness in Tabular RequirementsAurora Francesca Zanenga, Nunzio Marco Bisceglia, Benedetta Ippoliti, Andrea Bombarda, Angelo Gargantini, Akshay Rajhans, Claudio Menghi. 1148-1152 [doi]
• MANILA: A Low-Code Application to Benchmark Machine Learning Models and Fairness-Enhancing MethodsGiordano d'Aloisio. 1153-1157 [doi]
• KAVe: A Tool to Detect XSS and SQLi Vulnerabilities using a Multi-Agent System over a Multi-Layer Knowledge GraphRafael Ramires, Ana Respício, Ibéria Medeiros, Mike Papadakis. 1158-1162 [doi]
• Refactoring Detection in C++ Programs with RefactoringMiner++Benjamin Ritz, Aleksandar Karakas, Denis Helic. 1163-1167 [doi]
• CodingGenie: A Proactive LLM-Powered Programming AssistantSebastian Zhao, Alan Zhu 0003, Hussein Mozannar, David A. Sontag, Ameet Talwalkar, Valerie Chen. 1168-1172 [doi]
• Steering the Future: A Catalog of Failures in Deep Learning-Enabled Robotic Navigation SystemsMeriel von Stein, Yili Bai, Trey Woodlief, Sebastian G. Elbaum. 1173-1177 [doi]
• A Tool for In-depth Analysis of Code Execution Reasoning of Large Language ModelsChangshu Liu, Reyhaneh Jabbarvand. 1178-1182 [doi]
• BinPool: A Dataset of Vulnerabilities for Binary Security AnalysisSima Arasteh, Georgios Nikitopoulos, Wei-Cheng Wu, Nicolaas Weideman, Aaron Portnoy, Mukund Raghothaman, Christophe Hauser. 1183-1187 [doi]
• EvidenceBot: A Privacy-Preserving, Customizable RAG-Based Tool for Enhancing Large Language Model InteractionsNafiz Imtiaz Khan, Vladimir Filkov. 1188-1192 [doi]
• A Tool for Generating Exceptional Behavior Tests With Large Language ModelsLinghan Zhong, Samuel Yuan, Jiyang Zhang 0003, Yu Liu 0079, Pengyu Nie 0001, Junyi Jessy Li, Milos Gligoric 0001. 1193-1197 [doi]
• CoSEFA: An LLM-Based Programming Assistant for Secure Code Generation via Supervised Co-DecodingXuan He, Dong Li 0009, Hao Wen, Yueheng Zhu, Chao Liu 0014, Meng Yan 0001, Hongyu Zhang 0002. 1198-1202 [doi]
• CCTest: Critical Configuration Testing for Autonomous Driving SystemsChangwen Li, Joseph Sifakis, Rongjie Yan, Jian Zhang. 1203-1207 [doi]
• A Multi-agent Onboarding Assistant based on Large Language Models, Retrieval Augmented Generation, and Chain-of-ThoughtAndrei Cristian Ionescu, Sergey Titov, Maliheh Izadi. 1208-1212 [doi]
• PeachCI: Scalable Continuous Integration of Generation-Based Protocol FuzzingWanli Chen, Yuanliang Chen, Fuchen Ma, Ruikang Peng, Qi Xu, Yu Jiang 0001, Qiang Fu, Heyuan Shi. 1213-1217 [doi]
• TraceMOP: An Explicit-Trace Runtime Verification Tool for JavaKevin Guan, Owolabi Legunsen. 1218-1222 [doi]
• AIOpsLab in Action: An Open Platform for AIOps ResearchMinghua Ma, Jackson Clark, Shenglin Zhang. 1223-1227 [doi]
• Unlocking Insights From Multimodal Data for IT AutomationSeema Nagar, Atri Mandal, Prateeti Mohapatra. 1228-1230 [doi]
• A Tutorial on Software Engineering for FMwareFilipe R. Cogo, Gopi Krishnan Rajbahadur, Dayi Lin, Keheliya Gallaba, Benjamin Rombaut 0002, Gustavo Oliva, Jiahuei (Justina) Lin, Kirill Vasilevski, Ahmed E. Hassan. 1231-1233 [doi]
• Artifact Evaluations for Stronger Research ResultsDirk Beyer 0001, Stefan Winter 0001. 1234-1237 [doi]
• Enhancing Deep Learning Transpilation with LLMs: Automation and Semantic ConsistencyXingpei Li, Zhijie Jiang, Zhouyang Jia, Yuanliang Zhang, Si Zheng 0003, Haifang Zhou, Shanshan Li. 1238-1239 [doi]
• Autonomous agents in software development for information retrieval using LLM modelsAneta Poniszewska-Maranda, Maciej Kopa. 1240-1241 [doi]
• Logprobs Know Uncertainty: Fighting LLM HallucinationsMengyao Xu, Qiaoyin Gan, Zhenyu Zhu, Haojun Qin. 1242-1243 [doi]
• Pn4PLC: Verification of Software Upgrade for PLC CodeSoumyadip Bandyopadhyay, Raoul Jetley. 1244-1245 [doi]
• Detecting Data Races in Language Virtual Machines with RaceHunter. Lessons LearnedPavel S. Andrianov, Vadim S. Mutilin, Evgeny Gerlits. 1246-1247 [doi]
• Refining Fuzzed Crashing Inputs for Better Fault DiagnosisKieun Kim, Seongmin Lee 0001, Shin Hong. 1248-1249 [doi]
• SODAOpt: Socio-Demographic and Textual Adaptive Fusion for Optimizing Developer Task AssignmentKarina Romanova, Sergey Senichev, Lina Veltman, Ivan Nasonov, Andrey Kuznetsov, Ilya Makarov. 1250-1251 [doi]
• Symbolic Execution Based Automatic Performance Optimization for MPI ProgramsZheng Bian, Zhenbang Chen, Ji Wang 0001. 1252-1253 [doi]
• LLMAppHub: A Large Collection of LLM-based Applications for the Research CommunityZixuan Wu, Chen Zhi, Junxiao Han, ShuiGuang Deng, Jianwei Yin. 1254-1255 [doi]
• Mediating between Human Programmers and Integrated Development Environments using LLM-based AgentsZiyou Li. 1256-1257 [doi]
• Research Open-Source Software: supporting small communities with technical and social aspectsLavinia Paganini. 1258-1261 [doi]
• Generating Code Tours Using Locally-Runnable LLMsMartin Balfroid. 1262-1265 [doi]
• Fine-Grained Developer ReificationStefano Campanella. 1266-1269 [doi]
• Towards More Interpretable Large Language Models for CodeDaniel Rodríguez-Cardenas. 1270-1272 [doi]
• Investigating the Role of Formal Verification in Software Development: From Automatic Specification Generation to Usability of Verification LanguagesTina Masoudi. 1273-1276 [doi]
• Securing Language Models Against Vulnerability EncodingRui Melo. 1277-1278 [doi]
• Automated Vulnerability-Focused Code ReviewsLeonardo Centellas-Claros. 1279-1280 [doi]
• Automating the conformity assessment of Cyber-Physical Systems softwareGuillaume Nguyen. 1281-1284 [doi]
• Co-Intelligence in Software Engineering: Understanding and Optimizing GenAI Integration in Software Engineering for Skill Development in Time-Constrained ProgrammingOmkar Joshi. 1285-1288 [doi]
• End-to-End Testing Gamification: A Novel Approach to the Verification and Validation of Web and Mobile ApplicationsLorenzo Laudadio. 1289-1290 [doi]
• Enhancing Large Language Model Integration in Integrated Development EnvironmentsDaniele Cipollone. 1291-1292 [doi]
• Regression Fault Detection and Mitigation in the Evolution of Deep Learning SystemsHanmo You. 1293-1294 [doi]
• Towards Privacy-Preserving Code Generation: Understanding and Mitigating Memorization in Code Large Language ModelsMelih Catal. 1295-1296 [doi]
• RE-oriented Model Development with LLM Support and Deduction-based VerificationRadoslaw Klimek. 1297-1304 [doi]
• AI in Software Engineering: Perceived Roles and Their Impact on AdoptionIlya Zakharov, Ekaterina Koshchenko, Agnia Sergeyuk. 1305-1309 [doi]
• MultiMind: A Plug-in for the Implementation of Development Tasks Aided by AI AssistantsBenedetta Donato, Leonardo Mariani, Daniela Micucci, Oliviero Riganelli, Marco Somaschini. 1310-1317 [doi]
• ACE: Automated Technical Debt Remediation with Validated Large Language Model RefactoringsAdam Tornhill, Markus Borg, Nadim Hagatulah, Emma Söderberg. 1318-1324 [doi]
• Human-AI Collaboration in Software Development: A Mixed-Methods Study of Developers' Use of GitHub Copilot and ChatGPTViktoria Stray, Astri Barbala, Viggo Tellefsen Wivestad. 1325-1332 [doi]
• Facilitating Trustworthy Human-Agent Collaboration in LLM-based Multi-Agent System oriented Software EngineeringKrishna Ronanki. 1333-1337 [doi]
• Challenges and Opportunities for Generative AI in Software Engineering: A Managerial ViewSergio Rico, Lena-Maria Öberg. 1338-1344 [doi]
• An LLM Assistant for Software Project OnboardingKnud Ronau Larsen, Magnus Edvall, Truong Ho-Quang, Felix Dobslaw, Rodi Jolak. 1345-1352 [doi]
• AI in the Software Development Lifecycle: Insights and Open Research QuestionsEverton Guimarães, Nathalia Nascimento 0001. 1353-1357 [doi]
• A Path Less Traveled: Reimagining Software Engineering Automation via a Neurosymbolic ParadigmAntonio Mastropaolo, Denys Poshyvanyk. 1358-1362 [doi]
• Enhancing Human-IDE Interaction in the SDLC using LLM-based Mediator AgentsZiyou Li, Maliheh Izadi. 1363-1367 [doi]
• Insights into the Generalizability and Robustness of AI-Driven Code Comment Generation: A Replication StudyEray Erer, Turgay Aytac, Aysun Bozanta, Ayse Basar. 1368-1375 [doi]
• The Impact of Generative AI on Test & Evaluation: Challenges and OpportunitiesLaura J. Freeman, John Robert, Heather Wojton. 1376-1380 [doi]
• Generative AI Detection of Document Incompleteness, Inconsistencies, and DiscrepanciesJohn Robert, Carlos Olea, Yash Hindka, Nanette Brown. 1381-1385 [doi]
• AmocRCA: At Most One Change Segmentation and Relative Correlation Ranking for Root Cause AnalysisAnton Altenbernd, Zhiyuan Wu, Odej Kao. 1386-1393 [doi]
• Evolving Estimation Models for Causal TestingLuca Devlin, Michael Foster 0001. 1394-1401 [doi]
• Causal Models in Requirement Specifications for Machine Learning: A visionHans-Martin Heyn, Yufei Mao, Roland Weiß, Eric Knauss. 1402-1405 [doi]
• Causality-Driven Neural Network Repair: Challenges and OpportunitiesFatemeh Vares, Brittany Johnson. 1406-1409 [doi]
• The Causality of Bug Resolution: A Tale of Two SystemsReshmi Maulik, Subhajit Datta, Subhashis Majumder. 1410-1417 [doi]
• Causal Detection in Linear Temporal CounterexamplesHerong Meng, Dalal Alrajeh. 1418-1423 [doi]
• Authorship of Minor Contributors in Kubernetes Configuration Scripts: An Exploratory StudyAkond Rahman, Gerry V. Dozier, Yue Zhang. 1424-1427 [doi]
• Causal Inference Needs More Than Analysis: The Role of Study DesignSabato Nocera, Sira Vegas, Giuseppe Scanniello, Natalia Juristo. 1428-1431 [doi]
• Energy Codesumption, Leveraging Test Execution for Source Code Energy Consumption AnalysisJérôme Maquoi, Maxime Cauz, Benoît Vanderose, Xavier Devroey. 1432-1436 [doi]
• Towards Sustainable DevOps for Cyber Physical SystemsPushpa Priyanka Palesetti, Emelie Engström, Emma Söderberg, Al-Hussein Hameed Jasim, Andreas Bexell, Nikolaos Korkakakis, Amir Aminifar, Robert Lagerstedt, Pontus Olsson, Per Sigurdson, Markus Borg, Nadim Hagatulah, Alma Orucevic-Alagic, Maria Kihl. 1437-1440 [doi]
• Evaluating the Accuracy of Software Energy Consumption Models for Java Applications at Process and Transaction LevelsAndreas Brunnert. 1441-1448 [doi]
• Enhancing Energy Efficiency with Reusable Software Ecosystems and Persona-Based UI/UXGennaro Zanfardino, Mashal Afzal Memon, Michele Tucci 0001. 1449-1452 [doi]
• Multi-Agent Differential Testing for the Game of GoJiaxue Song, Xiao-Yi Zhang 0005, Paolo Arcaini, Fuyuki Ishikawa, Yong Liu, Bin Du. 1453-1460 [doi]
• Enhancing Emotional Realism in Games: An Optimized Generative AI Framework for Dynamic 3D Facial AnimationJonas de Araújo Luz, Rafael Fonseca Pessoa, Guadalupe Prado Saldanha Ribeiro, João Vitor Vieira Lira, Maria Andréia Formico Rodrigues. 1461-1468 [doi]
• Incorporating Multiple Self-Adaptive Agents in GamesSteven Streasick, Erik M. Fredericks, Byron DeVries, Ira Woodring. 1469-1476 [doi]
• Training Large Language Models to Comprehend LLVM IR via Feedback-Driven OptimizationYifan Zhang, Kevin Leach. 1477-1478 [doi]
• "I Would Have Written My Code Differently': Beginners Struggle to Understand LLM-Generated CodeYangtian Zi, Luisa Li, Arjun Guha, Carolyn Jane Anderson, Molly Q. Feldman. 1479-1488 [doi]
• An Investigation into Maintenance Support for Neural NetworksFatema Tuz Zohra, Brittany Johnson-Matthews. 1489-1493 [doi]
• The Evolution of Information Seeking in Software Development: Understanding the Role and Impact of AI AssistantsEbtesam Al Haque, Chris Brown, Thomas D. LaToza, Brittany Johnson. 1494-1502 [doi]
• Get on the Train or be Left on the Station: Using LLMs for Software Engineering ResearchBianca Trinkenreich, Fabio Calefato, Geir Hanssen, Kelly Blincoe, Marcos Kalinowski, Mauro Pezzè, Paolo Tell, Margaret-Anne D. Storey. 1503-1507 [doi]
• Why Do Software Practitioners Use ChatGPT for Software Development Tasks?Fairuz Nawer Meem, Justin Smith 0001, Brittany Johnson-Matthews. 1508-1514 [doi]
• Clash of Requirements: Users First vs. Model FirstTor Sporsem, Rasmus Ulfsnes, Morten Hatling, Inga Strümke. 1515-1519 [doi]
• Human-Centric Hybrid-AI for No-Code DevelopmentThiago Rocha Silva, Thomas Troels Hildebrandt. 1520-1521 [doi]
• AI Coding Tools in Bilingual Software Development: A Survey of Spanish-Speaking DevelopersMiguel Botto-Tobar, Alexander Serebrenik, M. G. J. van den Brand. 1522-1530 [doi]
• Attitudes Towards LLM Use Among Software Engineering Researchers: Results From A Two-Phase Survey StudyViggo Tellefsen Wivestad, Astri Moksnes Barbala. 1531-1535 [doi]
• Leveraging Human Insights for Enhanced LLM-based Code RepairYifan Zhang, Kevin Leach. 1536-1537 [doi]
• Towards a LLM-Based System for Generating and Validating Product RequirementsEvan Krueger, Taylor J. Carpenter, Kevin Leach, James Weimer. 1538-1539 [doi]
• An Empirical Study on the Impact of Gender Diversity on Code Quality in AI SystemsShamse Tasnim Cynthia, Banani Roy. 1540-1549 [doi]
• CodeNoCode Predictive Modeling: Co-Development with LLMs for Transparency and InclusivityFelix Dobslaw, Leif Sundberg. 1550-1551 [doi]
• A Preliminary Framework for Intersectionality in ML PipelinesMichelle Nashla Turcios, Alicia E. Boyd, Angela D. R. Smith, Brittany Johnson. 1552-1563 [doi]
• AI for Empowering Women in AIHanna Meland Vestvik, Letizia Jaccheri. 1564-1573 [doi]
• Rethinking Entry Requirements for Gender Diversity in CS Education: A Case Study of Student Performance in an Introductory Programming CourseLisa Sällvin, Lena-Maria Öberg, Jörgen Söderback, Erik Öberg. 1574-1581 [doi]
• The Tech DEI Backlash - The Changing Landscape of Diversity, Equity, and Inclusion in Software EngineeringSonja Hyrynsalmi, Mary Sánchez-Gordón, Anna Szlávi, Letizia Jaccheri. 1582-1592 [doi]
• The Impact of Team Diversity in Agile Development EducationMarco Torchiano, Riccardo Coppola, Antonio Vetrò, Xhoi Musaj. 1593-1601 [doi]
• Tracking GPTs Third Party Service: Automation, Analysis, and InsightsChuan Yan, Liuhuo Wan, Bowei Guan, Fengqi Yu, Guangdong Bai. 1602-1606 [doi]
• A Systematic Threat Modeling of LLM ApplicationsGuanhong Tao 0001, Siyuan Cheng 0005, Zhuo Zhang 0002, JunMin Zhu, Guangyu Shen, Wanjing Han, Mu Zhang, Xiangyu Zhang 0001. 1607-1614 [doi]
• Exposing the Achilles' Heel: Black-box Reverse Engineering of Commercial LLM Plugins' Hidden PromptsWenying Wei, Kaifa Zhao, Hao Zhou 0009. 1615-1618 [doi]
• Towards the Versioning of LLM-Agent-Based SoftwareChengwei Liu, Lyuye Zhang, XiuFeng Xu, Wenbo Guo 0011, Yang Liu 0003. 1619-1622 [doi]
• From Words to Wisdom: LLMs Summarizing Instructional ContentLukasz Chomatek, Wojciech Slabosz, Aneta Poniszewska-Maranda. 1623-1630 [doi]
• How Well Do ChatGPT Models Maintain Software?Md Mahir Asef Kabir, Sk Adnan Hassan. 1631-1637 [doi]
• Decoding CI/CD Practices in Open-Source Projects with LLM InsightsLukasz Chomatek, Jakub Papuga, Przemyslaw Nowak, Aneta Poniszewska-Maranda. 1638-1644 [doi]
• Towards LLM-Based Automatic PlaytestYan Zhao, Chiawei Tang. 1645-1651 [doi]
• LLPut: Investigating Large Language Models for Bug Report-Based Input GenerationAlif Al Hasan, Subarna Saha, Mia Mohammad Imran, Tarannum Shaila Zaman. 1652-1659 [doi]
• From Prompts to Properties: Rethinking LLM Code Generation with Property-Based TestingDibyendu Brinto Bose. 1660-1665 [doi]
• Research: A Tool and Workflow for Benchmarking LLM-Based Code ImprovementsZeineb Rejiba, Raphael Eidenbenz, Johnny Borkhoche. 1666-1671 [doi]
• The Impact of Hyperparameters on Large Language Model Inference Performance: An Evaluation of vLLM and HuggingFace PipelinesMatias Martinez. 1672-1678 [doi]
• Automatic Proof Generation: Fine-tuning and RAG in Reasoner vs. Math LLMsJuan Carlos Recio Abad, Rubén Saborido, Francisco Chicano. 1679-1682 [doi]
• Smart Building Operations and Virtual Assistants Using LLMReachsak Ly, Alireza Shojaei, Xinghua Gao. 1683-1689 [doi]
• Exploring Advanced Quantum Ensemble for Industrial Control Systems SecurityDanish Vasan, Mohammad Shameem, Mohammad Hammoudeh, Mussadiq Abdul Rahim, Hamad Naeem, Adel Fadhl Ahmed. 1690-1698 [doi]
• Practical Design by Contract Framework for Quantum ApplicationsMasaomi Yamaguchi, Nobukazu Yoshioka, Fuyuki Ishikawa. 1699-1709 [doi]
• A Decision-Making Framework to Recommend Quantum-Based Solutions for Fit Problem Domains with Associated FactorsShahid Hussain 0006, Nasreen Azad, Wen-Li Wang, Saif Ur Rehman Khan 0001, Muhammad Abdul Basit Ur Rahim, Naseem Ibrahim. 1710-1720 [doi]
• The Road to Hybrid Quantum Programs: Characterizing the Evolution from Classical to Hybrid Quantum SoftwareVincenzo De Maio, Ivona Brandic, Ewa Deelman, Jürgen Cito. 1721-1731 [doi]
• Quantum Secure DevOps (QSecOps): Integrating Quantum-Based Security Checks into CI/CD Pipelines: Next-Generation Software SecurityMuhammad Azeem Akbar, Saima Rafi, Arif Ali Khan, Boshuai Ye. 1732-1741 [doi]
• Exploring Developers Discussion Forums for Quantum Software Engineering: A Fine-Grained Classification Approach Using Large Language Model (ChatGPT)Mobashir Husain, Muhammad Sohail Khan, Javed Ali Khan, Nek Dil Khan, Arif Khan, Muhammad Azeem Akbar. 1742-1755 [doi]
• Automated Environment Extraction for Malicious Package Validation: Leveraging Threat IntelligenceWenbo Guo 0011, Limin Wang, Yiran Zhang, Zhengzi Xu, Jiahui Wu. 1756-1759 [doi]
• Embedding Traceability in Large Language Model Code Generation: Towards Trustworthy AI-Augmented Software EngineeringFei Wang, Xuefeng Xi, Zhiming Cui, Huan Dai, Xinyu Wang. 1760-1763 [doi]
• Beyond Stars and Commits: A Fair and Manipulation-Resistant Framework for Measuring Developer ContributionsYuqiang Sun 0001, Sun Ding, Liwei Tan, Yue Xue, Bo Li, Charles Huang, Siyang Xiong. 1764-1767 [doi]
• AI Model GenomeYanjie Zhao, Haoyu Wang. 1768-1773 [doi]
• Aligning Core Aspects: Improving Vulnerability Proof-of-Concepts via Cross-Source InsightsLingxiao Wang, Wenjing Dang, Mengyao Zhao, Yue Wang, Xianzong Wu, Sen Chen. 1774-1777 [doi]