Table of Contents

• Identifying Factors Contributing to "Bad Days" for Software Developers: A Mixed-Methods StudyIke Obi, Jenna L. Butler, Sankeerti Haniyur, Brian Hassan, Margaret-Anne D. Storey, Brendan Murphy. 1-11 [doi]
• Time Warp: The Gap Between Developers' Ideal vs Actual Workweeks in an AI-Driven EraSukrit Kumar, Drishti Goel, Thomas Zimmermann 0001, Brian Houck, Balasubramanyan Ashok, Chetan Bansal. 12-22 [doi]
• Wearables to Measure Developer Experience at WorkCharlotte Brandebusemeyer, Tobias Schimmer, Bert Arnrich. 23-33 [doi]
• KuiTest: Leveraging Knowledge in the Wild as GUI Testing Oracle for Mobile AppsYongxiang Hu, Yu Zhang 0165, Xuan Wang, Yingjie Liu, Shiyu Guo, Chaoyi Chen, Xin Wang 0002, Yangfan Zhou. 34-45 [doi]
• GUIWatcher: Automatically Detecting GUI Lags by Analyzing Mobile Application ScreencastsWei Liu 0155, Feng Lin, Linqiang Guo, Tse-Hsun Peter Chen, Ahmed E. Hassan. 46-56 [doi]
• Agent for User: Testing Multi - User Interactive Features in TikTokSidong Feng, Changhao Du, Huaxiao Liu, Qingnan Wang, Zhengwei Lv, Gang Huo, Xu Yang, Chunyang Chen 0001. 57-68 [doi]
• Dialogagent: An Auto-Engagement Agent for Code Question Answering Data ProductionXiaoyun Liang 0006, Jingyi Ren, Jiayi Qi, Chao Peng 0002, Bo Jiang. 69-79 [doi]
• Evaluation of Tools and Frameworks for Machine Learning Model ServingNiklas Beck, Benny Jörg Stein, Lennard Helmer, Dennis Wegener. 80-90 [doi]
• Real-Time Adapting Routing (Rar): Improving Efficiency Through Continuous Learning in Software Powered by Layered Foundation ModelsKirill Vasilevski, Dayi Lin, Ahmed E. Hassan. 91-100 [doi]
• Safe Validation of Pricing AgreementsJohn Kolesar, Tancrède Lepoint, Martin Schäf, Willem Visser. 101-111 [doi]
• Systematizing Inclusive Design in MOSIP: An Experience ReportSoumiki Chattopadhyay, Amreeta Chatterjee, Puja Agarwal, Bianca Trinkenreich, Swarathmika Kumar, Rohit Ranjan Rai, Resham Chugani, Pragya Kumari, Margaret Burnett, Anita Sarma. 112-123 [doi]
• RAPGen: An Approach for Fixing Code Inefficiencies in Zero-ShotSpandan Garg, Roshanak Zilouchian Moghaddam, Neel Sundaresan. 124-135 [doi]
• ArkAnalyzer: The Static Analysis Framework for OpenHarmonyHaonan Chen, Daihang Chen, Yizhuo Yang 0005, Lingyun Xu, Liang Gao, Mingyi Zhou, Chunming Hu, Li Li 0029. 136-147 [doi]
• AI-Assisted SQL Authoring at Industry ScaleChandra Shekhar Maddila, Negar Ghorbani, Kosay Jabre, Vijayaraghavan Murali, Edwin Kim, Parth Thakkar, Nikolay Pavlovich Laptev, Olivia Harman, Diana Hsu, Rui Abreu 0001, Peter C. Rigby. 148-158 [doi]
• Automating ML Model Development at ScaleKaiyuan Wang, Yang Li 0005, Junyang Shen, Kaikai Sheng, Yiwei You, Jiaqi Zhang, Srikar Ayyalasomayajula, Julian Grady, Martin Wicke. 159-169 [doi]
• Towards Better Static Analysis Bug Reports in the Clang Static AnalyzerKristóf Umann, Zoltán Porkoláb. 170-180 [doi]
• LLM Driven Smart Assistant for Data MappingArihant Bedagkar, Sayandeep Mitra, Raveendra Kumar Medicherla, Ravindra Naik, Samiran Pal. 181-191 [doi]
• On the Diagnosis of Flaky Job Failures: Understanding and Prioritizing Failure CategoriesHenri Aïdasso, Francis Bordeleau, Ali Tizghadam. 192-202 [doi]
• Detecting Python Malware in the Software Supply Chain with Program AnalysisRidwan Shariffdeen, Behnaz Hassanshahi, Martin Mirchev, Ali El Husseini, Abhik Roychoudhury. 203-214 [doi]
• aiXcoder-7B: A Lightweight and Effective Large Language Model for Code ProcessingSiyuan Jiang, Jia Li 0012, He Zong, Huanyu Liu, Hao Zhu, ShuKai Hu, Erlu Li, Jiazheng Ding, Yu Han, Wei Ning, Ge Li 0001. 215-226 [doi]
• Leveraging MLOps: Developing a Sequential Classification System for RFQ Documents in Electrical EngineeringClaudio Martens, Hammam Abdelwahab, Katharina Beckh, Birgit Kirsch, Vishwani Gupta, Steffen Hoh, Dennis Wegener. 227-236 [doi]
• On Mitigating Code LLM Hallucinations with API DocumentationNihal Jain, Robert Kwiatkowski, Baishakhi Ray, Murali Krishna Ramanathan, Varun Kumar. 237-248 [doi]
• Semantic Code Finder: an Efficient Semantic Search Framework for Large-Scale CodebasesDaeha Ryu, Seokjun Ko, Eunbi Jang, Jinyoung Park, Myunggwan Kim, Chang-Seo Park. 249-259 [doi]
• Time to Retrain? Detecting Concept Drifts in Machine Learning SystemsTri Minh Triet Pham, Karthikeyan Premkumar, Mohamed Naili, Jinqiu Yang 0001. 260-271 [doi]
• UML Sequence Diagram Generation: A Multi-Model, Multi-Domain EvaluationChi Xiao, Daniel Ståhl, Jan Bosch. 272-283 [doi]
• NICE: Non-Functional Requirements Identification, Classification, and Explanation Using Small Language ModelsGokul Rejithkumar, Preethu Rose Anish. 284-295 [doi]
• Soft Skills in Software Engineering: Insights from the TrenchesSanna Malinen, Matthias Galster, Antonija Mitrovic, Sreedevi Sankara Iyer, Pasan Peiris, April Clarke. 296-306 [doi]
• Software Engineering and Foundation Models: Insights from Industry Blogs Using a Jury of Foundation ModelsHao Li 0094, Cor-Paul Bezemer, Ahmed E. Hassan. 307-318 [doi]
• Dear Diary: A Randomized Controlled Trial of Generative AI Coding Tools in the WorkplaceJenna L. Butler, Jina Suh, Sankeerti Haniyur, Constance Hadley. 319-329 [doi]
• Exploring GenAI in Software Development: Insights from a Case Study in a Large Brazilian CompanyGuilherme Vaz Pereira, Victoria Jackson, Rafael Prikladnicki, André van der Hoek, Luciane Fortes, Carolina Araújo, André Coelho, Ligia Chelli, Diego Ramos. 330-341 [doi]
• Human-In-The-Loop Software Development AgentsWannita Takerngsaksiri, Jirat Pasuksmit, Patanamon Thongtanunam, Chakkrit Tantithamthavorn, Ruixiong Zhang, Fan Jiang, Jing Li, Evan Cook, Kun Chen, Ming Wu. 342-352 [doi]
• Video Game Procedural Content Generation Through Software TransplantationMar Zamorano, Daniel Blasco, Carlos Cetina, Federica Sarro. 353-364 [doi]
• Evaluating Agent-Based Program Repair at GooglePat Rondon, Renyao Wei, José Cambronero, Jürgen Cito, Aaron Sun, Siddhant Sanyam, Michele Tufano, Satish Chandra 0001. 365-376 [doi]
• Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and DatasetMohammad Saiful Islam, Mohamed Sami Rakha, William Pourmajidi, Janakan Sivaloganathan, John Steinbacher, Andriy V. Miranskyy. 377-388 [doi]
• Crash Report Prioritization for Large-Scale Scheduled LaunchesNimmi Rashinika Weeraddana, Sarra Habchi, Shane McIntosh. 389-400 [doi]
• LogLM: From Task-Based to Instruction-Based Automated Log AnalysisYilun Liu 0001, Yuhe Ji, Shimin Tao, Minggui He, Weibin Meng, Shenglin Zhang, Yongqian Sun, Yuming Xie, Boxing Chen, Hao Yang 0006. 401-412 [doi]
• ASTER: Natural and Multi-Language Unit Test Generation with LLMsRangeet Pan, MyeongSoo Kim, Rahul Krishna, Raju Pavuluri, Saurabh Sinha. 413-424 [doi]
• Automated Code Review in PracticeUmut Cihan, Vahid Haratian, Arda Içöz, Mert Kaan Gül, Ömercan Devran, Emircan Furkan Bayendur, Baykal Mehmet Uçar, Eray Tüzün. 425-436 [doi]
• CI at Scale: Lean, Green, and FastDhruva Juloori, Zhongpeng Lin, Matthew Williams, Eddy Shin, Sonal Mahajan. 437-447 [doi]
• Moving Faster and Reducing Risk: Using LLMs in Release DeploymentRui Abreu 0001, Vijayaraghavan Murali, Peter C. Rigby, Chandra Shekhar Maddila, Weiyan Sun, Jun Ge, Kaavya Chinniah, Audris Mockus, Megh Mehta, Nachiappan Nagappan. 448-457 [doi]
• Prioritizing Large-Scale Natural Language Test Cases at OPPOHaoran Xu, Chen Zhi, Tianyu Xiang, Zixuan Wu, Gaorong Zhang, Xinkui Zhao, Jianwei Yin, ShuiGuang Deng. 458-468 [doi]
• Search+LLM-Based Testing for ARM SimulatorsKarine Even Mendoza, Héctor D. Menéndez 0001, William B. Langdon, Aidan Dakhama, Justyna Petke, Bobby R. Bruce. 469-480 [doi]
• How is Google Using AI for Internal Code Migrations?Stoyan Nikolov, Daniele Codecasa, Anna Sjövall, Maxim Tabachnyk, Satish Chandra 0001, Siddharth Taneja, Celal Ziftci. 481-492 [doi]
• BSODiag: A Global Diagnosis Framework for Batch Servers Outage in Large-Scale Cloud Infrastructure SystemsTao Duan, Runqing Chen, Pinghui Wang, Junzhou Zhao, Jiongzhou Liu, Shujie Han 0001, Yi Liu, Fan Xu. 493-503 [doi]
• On Large Language Models in Mission-Critical IT Governance: Are We Ready Yet?Matteo Esposito 0001, Francesco Palagiano, Valentina Lenarduzzi, Davide Taibi 0001. 504-515 [doi]
• Beyond the Comfort Zone: Emerging Solutions to Overcome Challenges in Integrating LLMs into Software ProductsNadia Nahar, Christian Kästner, Jenna L. Butler, Chris Parnin, Thomas Zimmermann 0001, Christian Bird. 516-527 [doi]
• Testing False Recalls in E-Commerce Apps: a User-Perspective Blackbox ApproachShengnan Wu, Yongxiang Hu, Jiazhen Gu, Penglei Mao, Jin Meng, Liujie Fan, Zhongshi Luan, Xin Wang 0002, Yangfan Zhou. 528-539 [doi]
• A Scalable, Effective and Simple Vulnerability Tracking Approach for Heterogeneous SAST Setups Based on Scope+OffsetJames Johnson, Julian Thome, Lucas Charles, Hua Yan, Jason Leasure. 540-550 [doi]
• "Immediateshortterm3mthsafterthatlol": Developer Secure-Coding Sentiment, Practice and Culture in OrganisationsIta Ryan, Utz Roedig, Klaas-Jan Stol. 551-562 [doi]
• Full Line Code Completion: Bringing AI to DesktopAnton Semenkin, Vitaliy Bibaev, Yaroslav Sokolov, Kirill Krylov, Alexey Kalina, Anna Khannanova, Danila Savenkov, Darya Rovdo, Igor Davidenko, Kirill Karnaukhov, Maxim Vakhrushev, Mikhail Kostyukov, Mikhail Podvitskii, Petr Surkov, Yaroslav Golubev, Nikita Povarov, Timofey Bryksin. 563-574 [doi]
• An Empirical Study on Decision-Making Aspects in Responsible Software Engineering for AILekshmi Murali Rani, Faezeh Mohammadi, Robert Feldt, Richard Berntsson-Svensson. 575-585 [doi]
• SUNFLOWER: Enhancing Linux Kernel Fuzzing via Exploit-Driven Seed GenerationQiang Zhang, Yuheng Shen, Jianzhong Liu, Yiru Xu, Heyuan Shi, Yu Jiang 0001, Wanli Chang 0001. 586-596 [doi]
• Towards Realistic Evaluation of Commit Message Generation by Matching Online and Offline SettingsPetr Tsvetkov, Aleksandra Eliseeva, Danny Dig, Alexander Bezzubov, Yaroslav Golubev, Timofey Bryksin, Yaroslav Zharov. 597-606 [doi]
• Enhancing Differential Testing: LLM-Powered Automation in Release EngineeringAjay Krishna Vajjala, Arun 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. 607-617 [doi]
• How Much Does AI Impact Development Speed? an Enterprise-Based Randomized Controlled TrialElise Paradis, Kate Grey, Quinn Madison, Daye Nam, Andrew Macvean, Vahid Meimand, Nan Zhang, Benjamin Ferrari-Church, Satish Chandra 0001. 618-629 [doi]
• Test Input Validation for Vision-Based DL Systems: An Active Learning ApproachDelaram Ghobari, Mohammad Hossein Amini, Dai Quoc Tran, Seunghee Park, Shiva Nejati 0001, Mehrdad Sabetzadeh. 630-640 [doi]
• FlatD: Protecting Deep Neural Network Program from Reversing AttacksJinquan Zhang, Zihao Wang, Dinghao Wu, Pei Wang 0007, Rui Zhong. 641-652 [doi]
• Automating Explanation Need Management in App Reviews: A Case Study from the Navigation App IndustryMartin Obaidi, Hannah Deters, Jakob Droste, Marc Herrmann, Kurt Schneider, Nicolas Voß, Jannik Fischbach. 653-663 [doi]