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ORCID45th ICSE 2023: Melbourne, Australia
- 45th IEEE/ACM International Conference on Software Engineering, ICSE 2023, Melbourne, Australia, May 14-20, 2023. IEEE 2023, ISBN 978-1-6654-5701-9
- Lori L. Pollock, Massimiliano Di Penta:
Message from the ICSE 2023 Program Co-Chairs. xl - Gennaro Laudato, Simone Scalabrino, Nicole Novielli, Filippo Lanubile, Rocco Oliveto:
Predicting Bugs by Monitoring Developers During Task Execution. 1-13 - Sarah Pink:
Future Software for Life in Trusted Futures. 1 - Paolo Tonella:
The Road Toward Dependable AI Based Systems. 2 - Liming Zhu:
Software Engineering as the Linchpin of Responsible AI. 3-4 - Deze Wang, Boxing Chen, Shanshan Li, Wei Luo, Shaoliang Peng
, Wei Dong, Xiangke Liao:
One Adapter for All Programming Languages? Adapter Tuning for Code Search and Summarization. 5-16 - Zhongxin Liu, Zhijie Tang, Xin Xia, Xiaohu Yang:
CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back. 17-29 - Shuzheng Gao, Hongyu Zhang, Cuiyun Gao, Chaozheng Wang:
Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models. 30-42 - Haoxiang Jia, Ming Wen, Zifan Xie, Xiaochen Guo, Rongxin Wu, Maolin Sun, Kang Chen, Hai Jin:
Detecting JVM JIT Compiler Bugs via Exploring Two-Dimensional Input Spaces. 43-55 - Mingyuan Wu, Minghai Lu, Heming Cui, Junjie Chen, Yuqun Zhang, Lingming Zhang:
JITfuzz: Coverage-guided Fuzzing for JVM Just-in-Time Compilers. 56-68 - Maolin Sun, Yibiao Yang, Ming Wen, Yongcong Wang, Yuming Zhou, Hai Jin:
Validating SMT Solvers via Skeleton Enumeration Empowered by Historical Bug-Triggering Inputs. 69-81 - Hanmo You, Zan Wang, Junjie Chen, Shuang Liu, Shuochuan Li:
Regression Fuzzing for Deep Learning Systems. 82-94 - Suyue Guo, Xinyu Wan, Wei You, Bin Liang, Wenchang Shi, Yiwei Zhang, Jianjun Huang, Jian Zhang:
Operand-Variation-Oriented Differential Analysis for Fuzzing Binding Calls in PDF Readers. 95-107 - Daniel Oliveira, Wesley K. G. Assunção, Alessandro F. Garcia, Ana Carla Bibiano, Márcio Ribeiro, Rohit Gheyi, Baldoino Fonseca:
The untold story of code refactoring customizations in practice. 108-120 - Roland Croft, Muhammad Ali Babar, M. Mehdi Kholoosi:
Data Quality for Software Vulnerability Datasets. 121-133 - André Oliveira, Vânia Neves, Alexandre Plastino, Ana Carla Bibiano, Alessandro F. Garcia, Leonardo Murta:
Do code refactorings influence the merge effort? 134-146 - Hao Guan, Ying Xiao, Jiaying Li, Yepang Liu, Guangdong Bai:
A Comprehensive Study of Real-World Bugs in Machine Learning Model Optimization. 147-158 - Ezekiel O. Soremekun, Lukas Kirschner, Marcel Böhme, Mike Papadakis:
Evaluating the Impact of Experimental Assumptions in Automated Fault Localization. 159-171 - Jiwei Yan, Miaomiao Wang, Yepang Liu, Jun Yan, Long Zhang:
Locating Framework-specific Crashing Faults with Compact and Explainable Candidate Set. 172-183 - Sunzhou Huang, Xiaoyin Wang:
PExReport: Automatic Creation of Pruned Executable Cross-Project Failure Reports. 184-195 - Feifei Niu, Wesley K. G. Assunção, LiGuo Huang, Christoph Mayr-Dorn, Jidong Ge, Bin Luo, Alexander Egyed:
RAT: A Refactoring-Aware Traceability Model for Bug Localization. 196-207 - Hammad Ahmad, Zachary Karas, Kimberly Diaz, Amir Kamil, Jean-Baptiste Jeannin, Westley Weimer:
How Do We Read Formal Claims? Eye-Tracking and the Cognition of Proofs about Algorithms. 208-220 - Rafi Shalom, Shahar Maoz:
Which of My Assumptions are Unnecessary for Realizability and Why Should I Care? 221-232 - Andreas Dann, Ben Hermann, Eric Bodden:
UPCY: Safely Updating Outdated Dependencies. 233-244 - Xiaoke Wang, Lei Zhao:
APICAD: Augmenting API Misuse Detection through Specifications from Code and Documents. 245-256 - Sen Yang, Sen Chen, Lingling Fan, Sihan Xu, Zhanwei Hui, Song Huang:
Compatibility Issue Detection for Android Apps Based on Path-Sensitive Semantic Analysis. 257-269 - Jiahui Wu, Zhengzi Xu, Wei Tang, Lyuye Zhang, Yueming Wu, Chengyue Liu, Kairan Sun, Lida Zhao, Yang Liu:
OSSFP: Precise and Scalable C/C++ Third-Party Library Detection using Fingerprinting Functions. 270-282 - Taeyoung Kim, Yunhee Jang, Chanjong Lee, Hyungjoon Koo, Hyoungshick Kim:
Smartmark: Software Watermarking Scheme for Smart Contracts. 283-294 - Zibin Zheng, Neng Zhang, Jianzhong Su, Zhijie Zhong, Mingxi Ye, Jiachi Chen:
Turn the Rudder: A Beacon of Reentrancy Detection for Smart Contracts on Ethereum. 295-306 - Peilin Zheng, Xiapu Luo, Zibin Zheng:
BSHUNTER: Detecting and Tracing Defects of Bitcoin Scripts. 307-318 - Bianca Trinkenreich, Klaas-Jan Stol, Anita Sarma, Daniel M. Germán, Marco Aurélio Gerosa, Igor Steinmacher:
Do I Belong? Modeling Sense of Virtual Community Among Linux Kernel Contributors. 319-331 - Yuekun Wang, Yuhang Ye, Yueming Wu, Weiwei Zhang, Yinxing Xue, Yang Liu:
Comparison and Evaluation of Clone Detection Techniques with Different Code Representations. 332-344 - Jiahao Liu, Jun Zeng, Xiang Wang, Zhenkai Liang:
Learning Graph-based Code Representations for Source-level Functional Similarity Detection. 345-357 - Qihong Chen, Rúben Câmara, José Campos, André Souto, Iftekhar Ahmed:
The Smelly Eight: An Empirical Study on the Prevalence of Code Smells in Quantum Computing. 358-370 - Danushka Liyanage, Marcel Böhme, Chakkrit Tantithamthavorn, Stephan Lipp:
Reachable Coverage: Estimating Saturation in Fuzzing. 371-383 - Myungho Lee, Sooyoung Cha, Hakjoo Oh:
Learning Seed-Adaptive Mutation Strategies for Greybox Fuzzing. 384-396 - Sicong Cao, Xiaobing Sun, Xiaoxue Wu, Lili Bo, Bin Li, Rongxin Wu, Wei Liu, Biao He, Yu Ouyang, Jiajia Li:
Improving Java Deserialization Gadget Chain Mining via Overriding-Guided Object Generation. 397-409 - Ling Jiang, Hengchen Yuan, Mingyuan Wu, Lingming Zhang, Yuqun Zhang:
Evaluating and Improving Hybrid Fuzzing. 410-422 - Changjian Zhang, Tarang Saluja, Rômulo Meira-Góes, Matthew L. Bolton, David Garlan, Eunsuk Kang:
Robustification of Behavioral Designs against Environmental Deviations. 423-434 - Jenny T. Liang, Maryam Arab, Minhyuk Ko, Amy J. Ko, Thomas D. LaToza:
A Qualitative Study on the Implementation Design Decisions of Developers. 435-447 - I Luk Kim, Weihang Wang, Yonghwi Kwon, Xiangyu Zhang:
BFTDETECTOR: Automatic Detection of Business Flow Tampering for Digital Content Service. 448-459 - Ziqi Zhang, Yuanchun Li, Bingyan Liu, Yifeng Cai, Ding Li, Yao Guo, Xiangqun Chen:
FedSlice: Protecting Federated Learning Models from Malicious Participants with Model Slicing. 460-472 - Zeya Tan, Wei Song:
PTPDroid: Detecting Violated User Privacy Disclosures to Third-Parties of Android Apps. 473-485 - Yutian Yan, Yunhui Zheng, Xinyue Liu, Nenad Medvidovic, Weihang Wang:
Adhere: Automated Detection and Repair of Intrusive Ads. 486-498 - Duc-Ly Vu, Zachary Newman, John Speed Meyers:
Bad Snakes: Understanding and Improving Python Package Index Malware Scanning. 499-511 - Waris Gill, Ali Anwar, Muhammad Ali Gulzar:
FedDebug: Systematic Debugging for Federated Learning Applications. 512-523 - Weibin Wu, Jianping Zhang, Victor Junqiu Wei, Xixian Chen, Zibin Zheng, Irwin King, Michael R. Lyu:
Practical and Efficient Model Extraction of Sentiment Analysis APIs. 524-536 - Changan Niu, Chuanyi Li, Vincent Ng, Bin Luo:
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models. 537-549 - Austin Mordahl, Zenong Zhang, Dakota Soles, Shiyi Wei:
ECSTATIC: An Extensible Framework for Testing and Debugging Configurable Static Analysis. 550-562 - Sahar Badihi, Khaled Ahmed, Yi Li, Julia Rubin:
Responsibility in Context: On Applicability of Slicing in Semantic Regression Analysis. 563-575 - Jan Reichl, Stefan Hanenberg, Volker Gruhn:
Does the Stream API Benefit from Special Debugging Facilities? A Controlled Experiment on Loops and Streams with Specific Debuggers. 576-588 - Gabin An, Jingun Hong, Naryeong Kim, Shin Yoo:
Fonte: Finding Bug Inducing Commits from Failures. 589-601 - Sen Fang, Tao Zhang, Youshuai Tan, He Jiang, Xin Xia, Xiaobing Sun:
RepresentThemAll: A Universal Learning Representation of Bug Reports. 602-614 - Zhuo Zhang, Brian Zhang, Wen Xu, Zhiqiang Lin:
Demystifying Exploitable Bugs in Smart Contracts. 615-627 - Teng Wang, Zhouyang Jia, Shanshan Li, Si Zheng, Yue Yu, Erci Xu, Shaoliang Peng, Xiangke Liao:
Understanding and Detecting On-The-Fly Configuration Bugs. 628-639 - Parvez Mahbub, Ohiduzzaman Shuvo, Mohammad Masudur Rahman:
Explaining Software Bugs Leveraging Code Structures in Neural Machine Translation. 640-652 - Xin Tan, Yiran Chen, Haohua Wu, Minghui Zhou, Li Zhang:
Is It Enough to Recommend Tasks to Newcomers? Understanding Mentoring on Good First Issues. 653-664 - Kaia Newman, Madeline Endres, Westley Weimer, Brittany Johnson:
From Organizations to Individuals: Psychoactive Substance Use By Professional Programmers. 665-677 - Likang Yin, Xiyu Zhang, Vladimir Filkov:
On the Self-Governance and Episodic Changes in Apache Incubator Projects: An Empirical Study. 678-689 - Alina Mailach, Norbert Siegmund:
Socio-Technical Anti-Patterns in Building ML-Enabled Software: Insights from Leaders on the Forefront. 690-702 - Patrícia G. F. Matsubara, Igor Steinmacher, Bruno Gadelha, Tayana Conte:
Moving on from the Software Engineers' Gambit: An Approach to Support the Defense of Software Effort Estimates. 703-715 - Jaemin Hong, Sukyoung Ryu:
Concrat: An Automatic C-to-Rust Lock API Translator for Concurrent Programs. 716-728 - Gal Amram, Dor Ma'ayan, Shahar Maoz, Or Pistiner, Jan Oliver Ringert:
Triggers for Reactive Synthesis Specifications. 729-741 - Dor Ma'ayan, Shahar Maoz:
Using Reactive Synthesis: An End-to-End Exploratory Case Study. 742-754 - Fang Liu, Jia Li, Li Zhang:
Syntax and Domain Aware Model for Unsupervised Program Translation. 755-767 - Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang:
Developer-Intent Driven Code Comment Generation. 768-780 - Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Jingwei Xu, Xiaoxing Ma:
Data Quality Matters: A Case Study of Obsolete Comment Detection. 781-793 - Jinhao Dong, Yiling Lou, Dan Hao, Lin Tan:
Revisiting Learning-based Commit Message Generation. 794-805 - Jiawei Li, Iftekhar Ahmed:
Commit Message Matters: Investigating Impact and Evolution of Commit Message Quality. 806-817 - Hetong Dai, Yiming Tang, Heng Li, Weiyi Shang:
PILAR: Studying and Mitigating the Influence of Configurations on Log Parsing. 818-829 - Zhenhao Li, Chuan Luo, Tse-Hsun Chen, Weiyi Shang, Shilin He, Qingwei Lin, Dongmei Zhang:
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction. 830-842 - Zishuo Ding, Yiming Tang, Yang Li, Heng Li, Weiyi Shang:
On the Temporal Relations between Logging and Code. 843-854 - Guoping Rong, Shenghui Gu, Haifeng Shen, He Zhang, Hongyu Kuang:
How Do Developers' Profiles and Experiences Influence their Logging Practices? An Empirical Study of Industrial Practitioners. 855-867 - Islem Bouzenia, Michael Pradel:
When to Say What: Learning to Find Condition-Message Inconsistencies. 868-880 - Yintong Huo, Yuxin Su, Cheryl Lee, Michael R. Lyu:
SemParser: A Semantic Parser for Log Analytics. 881-893 - Dezhi Ran, Hao Wang, Wenyu Wang, Tao Xie:
Badge: Prioritizing UI Events with Hierarchical Multi-Armed Bandits for Automated UI Testing. 894-905 - Sidong Feng, Mulong Xie, Chunyang Chen:
Efficiency Matters: Speeding Up Automated Testing with GUI Rendering Inference. 906-918 - Caroline Lemieux, Jeevana Priya Inala, Shuvendu K. Lahiri, Siddhartha Sen:
CodaMosa: Escaping Coverage Plateaus in Test Generation with Pre-trained Large Language Models. 919-931 - Chao Wang, Ronny Ko, Yue Zhang, Yuqing Yang, Zhiqiang Lin:
Taintmini: Detecting Flow of Sensitive Data in Mini-Programs with Static Taint Analysis. 932-944 - Asem Ghaleb, Julia Rubin, Karthik Pattabiraman:
AChecker: Statically Detecting Smart Contract Access Control Vulnerabilities. 945-956 - Shengyi Pan, Lingfeng Bao, Xin Xia, David Lo, Shanping Li:
Fine-grained Commit-level Vulnerability Type Prediction by CWE Tree Structure. 957-969 - Jiamou Sun, Zhenchang Xing, Qinghua Lu, Xiwei Xu, Liming Zhu, Thong Hoang, Dehai Zhao:
Silent Vulnerable Dependency Alert Prediction with Vulnerability Key Aspect Explanation. 970-982 - Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang, Zhaotian Li, Xudong Liu:
Reusing Deep Neural Network Models through Model Re-engineering. 983-994 - Malinda Dilhara, Danny Dig, Ameya Ketkar:
PYEVOLVE: Automating Frequent Code Changes in Python ML Systems. 995-1007 - Xiaoning Ren, Yun Lin, Yinxing Xue, Ruofan Liu, Jun Sun, Zhiyong Feng, Jin Song Dong:
DeepArc: Modularizing Neural Networks for the Model Maintenance. 1008-1019 - Sayem Mohammad Imtiaz, Fraol Batole, Astha Singh, Rangeet Pan, Breno Dantas Cruz, Hridesh Rajan:
Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement. 1020-1032 - Yunbo Lyu, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Zhipeng Zhao, Xuan-Bach Dinh Le, Ming Li, David Lo:
CHRONOS: Time-Aware Zero-Shot Identification of Libraries from Vulnerability Reports. 1033-1045 - Yulun Wu, Zeliang Yu, Ming Wen, Qiang Li, Deqing Zou, Hai Jin:
Understanding the Threats of Upstream Vulnerabilities to Downstream Projects in the Maven Ecosystem. 1046-1058 - Masudul Hasan Masud Bhuiyan, Adithya Srinivas Parthasarathy, Nikos Vasilakis, Michael Pradel, Cristian-Alexandru Staicu:
SecBench.js: An Executable Security Benchmark Suite for Server-Side JavaScript. 1059-1070 - Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Aditya Ghose:
On Privacy Weaknesses and Vulnerabilities in Software Systems. 1071-1083 - Hao Zhang, Ji Luo, Mengze Hu, Jun Yan, Jian Zhang, Zongyan Qiu:
Detecting Exception Handling Bugs in C++ Programs. 1084-1095 - Yoonseok Ko, Hakjoo Oh:
Learning to Boost Disjunctive Static Bug-Finders. 1097-1109 - Wensheng Dou, Ziyu Cui, Qianwang Dai, Jiansen Song, Dong Wang, Yu Gao, Wei Wang, Jun Wei, Lei Chen, Hanmo Wang, Hua Zhong, Tao Huang:
Detecting Isolation Bugs via Transaction Oracle Construction. 1123-1135 - Siwei Cui, Yifei Gao, Rainer Unterguggenberger, Wilfried Pichler, Sean Livingstone, Jeff Huang:
SmallRace: Static Race Detection for Dynamic Languages - A Case on Smalltalk. 1136-1147 - Sterre van Breukelen, Ann Barcomb, Sebastian Baltes, Alexander Serebrenik:
"STILL AROUND": Experiences and Survival Strategies of Veteran Women Software Developers. 1148-1160 - Vincenzo Riccio, Paolo Tonella:
When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study. 1161-1173 - Chenyuan Yang, Yinlin Deng, Jiayi Yao, Yuxing Tu, Hanchi Li, Lingming Zhang:
Fuzzing Automatic Differentiation in Deep-Learning Libraries. 1174-1186 - Zenan Li, Maorun Zhang, Jingwei Xu, Yuan Yao, Chun Cao, Taolue Chen, Xiaoxing Ma, Jian Lu:
Lightweight Approaches to DNN Regression Error Reduction: An Uncertainty Alignment Perspective. 1187-1199 - Yuanyuan Yuan, Qi Pang, Shuai Wang:
Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion. 1200-1212 - Mahtab Nejati, Mahmoud Alfadel, Shane McIntosh:
Code Review of Build System Specifications: Prevalence, Purposes, Patterns, and Perceptions. 1213-1224 - Manish Motwani, Yuriy Brun:
Better Automatic Program Repair by Using Bug Reports and Tests Together. 1225-1237 - Zongjie Li, Chaozheng Wang, Zhibo Liu, Haoxuan Wang, Dong Chen, Shuai Wang, Cuiyun Gao:
CCTEST: Testing and Repairing Code Completion Systems. 1238-1250 - Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang:
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair. 1251-1263 - Nikhil Parasaram, Earl T. Barr, Sergey Mechtaev:
Rete: Learning Namespace Representation for Program Repair. 1264-1276 - Saad Ezzini, Sallam Abualhaija, Chetan Arora, Mehrdad Sabetzadeh:
AI-based Question Answering Assistance for Analyzing Natural-language Requirements. 1277-1289 - Alessio Ferrari, Paola Spoletini:
Strategies, Benefits and Challenges of App Store-inspired Requirements Elicitation. 1290-1302 - Zhilei Han, Fei He:
Data-driven Recurrent Set Learning For Non-termination Analysis. 1303-1315 - Guannan Wei, Songlin Jia, Ruiqi Gao, Haotian Deng, Shangyin Tan, Oliver Bracevac, Tiark Rompf:
Compiling Parallel Symbolic Execution with Continuations. 1316-1328 - Chengpeng Wang, Gang Fan, Peisen Yao, Fuxiong Pan, Charles Zhang:
Verifying Data Constraint Equivalence in FinTech Systems. 1329-1341 - Shihao Zhu, Yuqi Guo, Long Zhang, Yan Cai:
Tolerate Control-Flow Changes for Sound Data Race Prediction. 1342-1354 - Zhe Liu, Chunyang Chen, Junjie Wang, Xing Che, Yuekai Huang, Jun Hu, Qing Wang:
Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing. 1355-1367 - Paul T. Chiou, Ali S. Alotaibi, William G. J. Halfond:
Detecting Dialog-Related Keyboard Navigation Failures in Web Applications. 1368-1380 - Priyanka Bose, Dipanjan Das, Saastha Vasan, Sebastiano Mariani, Ilya Grishchenko, Andrea Continella, Antonio Bianchi, Christopher Kruegel, Giovanni Vigna:
Columbus: Android App Testing Through Systematic Callback Exploration. 1381-1392 - Jiongchi Yu, Yuechen Wu, Xiaofei Xie, Wei Le, Lei Ma, Yingfeng Chen, Jingyu Hu, Fan Zhang:
GameRTS: A Regression Testing Framework for Video Games. 1393-1404 - Amir Ghorbani, Nathan Cassee, Derek Robinson, Adam Alami, Neil A. Ernst, Alexander Serebrenik, Andrzej Wasowski:
Autonomy Is An Acquired Taste: Exploring Developer Preferences for GitHub Bots. 1405-1417 - Donald Pinckney, Federico Cassano, Arjun Guha, Jonathan Bell, Massimiliano Culpo, Todd Gamblin:
Flexible and Optimal Dependency Management via Max-SMT. 1418-1429 - Nan Jiang, Kevin Liu, Thibaud Lutellier, Lin Tan:
Impact of Code Language Models on Automated Program Repair. 1430-1442 - Qihao Zhu, Zeyu Sun, Wenjie Zhang, Yingfei Xiong, Lu Zhang:
Tare: Type-Aware Neural Program Repair. 1443-1455 - Xiangxin Meng, Xu Wang, Hongyu Zhang, Hailong Sun, Xudong Liu, Chunming Hu:
Template-based Neural Program Repair. 1456-1468 - Zhiyu Fan, Xiang Gao, Martin Mirchev, Abhik Roychoudhury, Shin Hwei Tan:
Automated Repair of Programs from Large Language Models. 1469-1481 - Chunqiu Steven Xia, Yuxiang Wei, Lingming Zhang:
Automated Program Repair in the Era of Large Pre-trained Language Models. 1482-1494 - Zejun Zhang, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Qinghua Lu:
Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence. 1495-1507 - Pavel Reich, Walid Maalej:
Testability Refactoring in Pull Requests: Patterns and Trends. 1508-1519 - Catarina Gamboa, Paulo Canelas, Christopher Steven Timperley, Alcides Fonseca:
Usability-Oriented Design of Liquid Types for Java. 1520-1532 - Usman Gohar, Sumon Biswas, Hridesh Rajan:
Towards Understanding Fairness and its Composition in Ensemble Machine Learning. 1533-1545 - Sumon Biswas, Hridesh Rajan:
Fairify: Fairness Verification of Neural Networks. 1546-1558 - Jiri Gesi, Xinyun Shen, Yunfan Geng, Qihong Chen, Iftekhar Ahmed:
Leveraging Feature Bias for Scalable Misprediction Explanation of Machine Learning Models. 1559-1570 - Verya Monjezi, Ashutosh Trivedi, Gang Tan, Saeid Tizpaz-Niari:
Information-Theoretic Testing and Debugging of Fairness Defects in Deep Neural Networks. 1571-1582 - Kaifa Zhao, Xian Zhan, Le Yu, Shiyao Zhou, Hao Zhou, Xiapu Luo, Haoyu Wang, Yepang Liu:
Demystifying Privacy Policy of Third-Party Libraries in Mobile Apps. 1583-1595 - Zhiyuan Chang, Mingyang Li, Qing Wang, Shoubin Li, Junjie Wang:
Cross-Domain Requirements Linking via Adversarial-based Domain Adaptation. 1596-1608 - Viktoria Koscinski, Sara Hashemi, Mehdi Mirakhorli:
On-Demand Security Requirements Synthesis with Relational Generative Adversarial Networks. 1609-1621 - Ita Ryan, Utz Roedig, Klaas-Jan Stol:
Measuring Secure Coding Practice and Culture: A Finger Pointing at the Moon is not the Moon. 1622-1634 - Setu Kumar Basak, Lorenzo Neil, Bradley Reaves, Laurie A. Williams:
What Challenges Do Developers Face About Checked-in Secrets in Software Artifacts? 1635-1647 - Xinyuan Miao, Ziyi Lin, Shaojun Wang, Lei Yu, Sanhong Li, Zihan Wang, Pengbo Nie, Yuting Chen, Beijun Shen, He Jiang:
Lejacon: A Lightweight and Efficient Approach to Java Confidential Computing on SGX. 1648-1660 - Jeffy Jahfar Poozhithara, Hazeline U. Asuncion, Brent Lagesse:
Keyword Extraction From Specification Documents for Planning Security Mechanisms. 1661-1673 - Wuxia Jin, Yitong Dai, Jianguo Zheng, Yu Qu, Ming Fan, Zhenyu Huang, Dezhi Huang, Ting Liu:
Dependency Facade: The Coupling and Conflicts between Android Framework and Its Customization. 1674-1686 - Shuai Wang, Xinyu Lian, Darko Marinov, Tianyin Xu:
Test Selection for Unified Regression Testing. 1687-1699 - Rongqi Pan, Taher Ahmed Ghaleb, Lionel C. Briand:
ATM: Black-box Test Case Minimization based on Test Code Similarity and Evolutionary Search. 1700-1711 - Soneya Binta Hossain, Matthew B. Dwyer, Sebastian G. Elbaum, Anh Nguyen-Tuong:
Measuring and Mitigating Gaps in Structural Testing. 1712-1723 - Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Yongqiang Yang, Michael R. Lyu:
Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention. 1724-1736 - Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, Saravan Rajmohan:
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. 1737-1749 - Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Michael R. Lyu:
Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data. 1750-1762 - Guangba Yu, Pengfei Chen, Pairui Li, Tianjun Weng, Haibing Zheng, Yuetang Deng, Zibin Zheng:
LogReducer: Identify and Reduce Log Hotspots in Kernel on the Fly. 1763-1775 - Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, Yves Le Traon:
Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation. 1776-1787 - Zhenlan Ji, Pingchuan Ma, Yuanyuan Yuan, Shuai Wang:
CC: Causality-Aware Coverage Criterion for Deep Neural Networks. 1788-1800 - Chunqiu Steven Xia, Saikat Dutta, Sasa Misailovic, Darko Marinov, Lingming Zhang:
Balancing Effectiveness and Flakiness of Non-Deterministic Machine Learning Tests. 1801-1813 - Fitash Ul Haq, Donghwan Shin, Lionel C. Briand:
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems. 1814-1826 - Linyi Li, Yuhao Zhang, Luyao Ren, Yingfei Xiong, Tao Xie:
Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects. 1827-1839 - Haoran Yang, Weile Lian, Shaowei Wang, Haipeng Cai:
Demystifying Issues, Challenges, and Solutions for Multilingual Software Development. 1840-1852 - Bonan Kou, Muhao Chen, Tianyi Zhang:
Automated Summarization of Stack Overflow Posts. 1853-1865 - Roy Rutishauser, André A. Meyer, Reid Holmes, Thomas Fritz:
Semi-Automatic, Inline and Collaborative Web Page Code Curations. 1866-1877 - Weifeng Pan, Xin Du, Ming Hua, Dae-Kyoo Kim, Zijiang Yang:
Identifying Key Classes for Initial Software Comprehension: Can We Do It Better? 1878-1889 - Daye Nam, Brad A. Myers, Bogdan Vasilescu, Vincent J. Hellendoorn:
Improving API Knowledge Discovery with ML: A Case Study of Comparable API Methods. 1890-1906 - Marvin Muñoz Barón, Marvin Wyrich, Daniel Graziotin, Stefan Wagner:
Evidence Profiles for Validity Threats in Program Comprehension Experiments. 1907-1919 - Abir Bouraffa, Gian-Luca Fuhrmann, Walid Maalej:
Developers' Visuo-spatial Mental Model and Program Comprehension. 1920-1932 - Shuzheng Gao, Cuiyun Gao, Chaozheng Wang, Jun Sun, David Lo, Yue Yu:
Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension. 1933-1945 - Dehai Zhao, Zhenchang Xing, Xin Xia, Deheng Ye, Xiwei Xu, Liming Zhu:
SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics. 1946-1957 - S. M. Hasan Mansur, Sabiha Salma, Damilola Awofisayo, Kevin Moran:
AidUI: Toward Automated Recognition of Dark Patterns in User Interfaces. 1958-1970 - Rahulkrishna Yandrapally, Saurabh Sinha, Rachel Tzoref-Brill, Ali Mesbah:
Carving UI Tests to Generate API Tests and API Specification. 1971-1982 - Zhe Liu, Chunyang Chen, Junjie Wang, Yuhui Su, Yuekai Huang, Jun Hu, Qing Wang:
Ex pede Herculem: Augmenting Activity Transition Graph for Apps via Graph Convolution Network. 1983-1995 - Sean McGuire, Erin Schultz, Bimpe Ayoola, Paul Ralph:
Sustainability is Stratified: Toward a Better Theory of Sustainable Software Engineering. 1996-2008 - Yanyan Yan, Yang Feng, Hongcheng Fan, Baowen Xu:
DLInfer: Deep Learning with Static Slicing for Python Type Inference. 2009-2021 - Ping Yu, Yijian Wu, Xin Peng, Jiahan Peng, Jian Zhang, Peicheng Xie, Wenyun Zhao:
ViolationTracker: Building Precise Histories for Static Analysis Violations. 2022-2034 - Junjie Chen, Chenyao Suo, Jiajun Jiang, Peiqi Chen, Xingjian Li:
Compiler Test-Program Generation via Memoized Configuration Search. 2035-2047 - Cong Yan, Suman Nath, Shan Lu:
Generating Test Databases for Database-Backed Applications. 2048-2059 - Jinsheng Ba, Manuel Rigger:
Testing Database Engines via Query Plan Guidance. 2060-2071 - Jiansen Song, Wensheng Dou, Ziyu Cui, Qianwang Dai, Wei Wang, Jun Wei, Hua Zhong, Tao Huang:
Testing Database Systems via Differential Query Execution. 2072-2084 - Stefan Mühlbauer, Florian Sattler, Christian Kaltenecker, Johannes Dorn, Sven Apel, Norbert Siegmund:
Analysing the Impact of Workloads on Modeling the Performance of Configurable Software Systems. 2085-2097 - Max Weber, Christian Kaltenecker, Florian Sattler, Sven Apel, Norbert Siegmund:
Twins or False Friends? A Study on Energy Consumption and Performance of Configurable Software. 2098-2110 - Pengyu Nie, Rahul Banerjee, Junyi Jessy Li, Raymond J. Mooney, Milos Gligoric:
Learning Deep Semantics for Test Completion. 2111-2123 - Jia Li, Yongmin Li, Ge Li, Zhi Jin, Yiyang Hao, Xing Hu:
SkCoder: A Sketch-based Approach for Automatic Code Generation. 2124-2135 - Changan Niu, Chuanyi Li, Vincent Ng, Dongxiao Chen, Jidong Ge, Bin Luo:
An Empirical Comparison of Pre-Trained Models of Source Code. 2136-2148 - Antonio Mastropaolo, Luca Pascarella, Emanuela Guglielmi, Matteo Ciniselli, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota:
On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot. 2149-2160 - Matteo Ciniselli, Luca Pascarella, Emad Aghajani, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota:
Source Code Recommender Systems: The Practitioners' Perspective. 2161-2172 - Solal Pirelli, George Candea:
Safe Low-Level Code Without Overhead is Practical. 2173-2184 - Will Leeson, Matthew B. Dwyer, Antonio Filieri:
Sibyl: Improving Software Engineering Tools with SMT Selection. 2185-2197 - Ensheng Shi, Yanlin Wang, Wenchao Gu, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
CoCoSoDa: Effective Contrastive Learning for Code Search. 2198-2210 - Yu Gao, Wensheng Dou, Dong Wang, Wenhan Feng, Jun Wei, Hua Zhong, Tao Huang:
Coverage Guided Fault Injection for Cloud Systems. 2211-2223 - Jongwook Kim, Sunbeom So, Hakjoo Oh:
Diver: Oracle-Guided SMT Solver Testing with Unrestricted Random Mutations. 2224-2236 - Benjamin Steenhoek, Md Mahbubur Rahman, Richard Jiles, Wei Le:
An Empirical Study of Deep Learning Models for Vulnerability Detection. 2237-2248 - Wenbo Wang, Tien N. Nguyen, Shaohua Wang, Yi Li, Jiyuan Zhang, Aashish Yadavally:
DeepVD: Toward Class-Separation Features for Neural Network Vulnerability Detection. 2249-2261 - Bin Yuan, Yifan Lu, Yilin Fang, Yueming Wu, Deqing Zou, Zhen Li, Zhi Li, Hai Jin:
Enhancing Deep Learning-based Vulnerability Detection by Building Behavior Graph Model. 2262-2274 - Xin-Cheng Wen, Yupan Chen, Cuiyun Gao, Hongyu Zhang, Jie M. Zhang, Qing Liao:
Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning. 2275-2286 - Xu Yang, Shaowei Wang, Yi Li, Shaohua Wang:
Does data sampling improve deep learning-based vulnerability detection? Yeas! and Nays! 2287-2298 - Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu:
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. 2299-2311 - Sungmin Kang, Juyeon Yoon, Shin Yoo:
Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction. 2312-2323 - Hao-Nan Zhu, Cindy Rubio-González:
On the Reproducibility of Software Defect Datasets. 2324-2335 - Yuchao Huang, Junjie Wang, Zhe Liu, Song Wang, Chunyang Chen, Mingyang Li, Qing Wang:
Context-aware Bug Reproduction for Mobile Apps. 2336-2348 - Sidong Feng, Mulong Xie, Yinxing Xue, Chunyang Chen:
Read It, Don't Watch It: Captioning Bug Recordings Automatically. 2349-2361 - Binger Chen, Ziawasch Abedjan:
Duetcs: Code Style Transfer through Generation and Retrieval. 2362-2373 - Elisabeth Griebl, Benedikt Fein, Florian Obermüller, Gordon Fraser, René Just:
On the Applicability of Language Models to Block-Based Programs. 2374-2386 - Wenxuan Wang, Jen-tse Huang, Weibin Wu, Jianping Zhang, Yizhan Huang, Shuqing Li, Pinjia He, Michael R. Lyu:
MTTM: Metamorphic Testing for Textual Content Moderation Software. 2387-2399 - Dongwei Xiao, Zhibo Liu, Shuai Wang:
Metamorphic Shader Fusion for Testing Graphics Shader Compilers. 2400-2412 - Matteo Paltenghi, Michael Pradel:
MorphQ: Metamorphic Testing of the Qiskit Quantum Computing Platform. 2413-2424 - Rosalia Tufano, Luca Pascarella, Gabriele Bavota:
Automating Code-Related Tasks Through Transformers: The Impact of Pre-training. 2425-2437 - Van-Hoang Le, Hongyu Zhang:
Log Parsing with Prompt-based Few-shot Learning. 2438-2449 - Noor Nashid, Mifta Sintaha, Ali Mesbah:
Retrieval-Based Prompt Selection for Code-Related Few-Shot Learning. 2450-2462 - Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis:
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. 2463-2475 - Shangqing Liu, Bozhi Wu, Xiaofei Xie, Guozhu Meng, Yang Liu:
ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning. 2476-2487 - Xizao Wang, Zhiqiang Zuo, Lei Bu, Jianhua Zhao:
DStream: A Streaming-Based Highly Parallel IFDS Framework. 2488-2500 - Aashish Yadavally, Tien N. Nguyen, Wenbo Wang, Shaohua Wang:
(Partial) Program Dependence Learning. 2501-2513 - Yicheng Ouyang, Kailai Shao, Kunqiu Chen, Ruobing Shen, Chao Chen, Mingze Xu, Yuqun Zhang, Lingming Zhang:
MirrorTaint: Practical Non-intrusive Dynamic Taint Tracking for JVM-based Microservice Systems. 2514-2526 - Yu Nong, Yuzhe Ou, Michael Pradel, Feng Chen, Haipeng Cai:
VULGEN: Realistic Vulnerability Generation Via Pattern Mining and Deep Learning. 2527-2539 - Lyuye Zhang, Chengwei Liu, Zhengzi Xu, Sen Chen, Lingling Fan, Lida Zhao, Jiahui Wu, Yang Liu:
Compatible Remediation on Vulnerabilities from Third-Party Libraries for Java Projects. 2540-2552 - Davide Corradini, Michele Pasqua, Mariano Ceccato:
Automated Black-Box Testing of Mass Assignment Vulnerabilities in RESTful APIs. 2553-2564 - Jiayuan Zhou, Michael Pacheco, Jinfu Chen, Xing Hu, Xin Xia, David Lo, Ahmed E. Hassan:
CoLeFunDa: Explainable Silent Vulnerability Fix Identification. 2565-2577 - Christopher M. Poskitt, Yuqi Chen, Jun Sun, Yu Jiang:
Finding Causally Different Tests for an Industrial Control System. 2578-2590 - Yuqi Huai, Yuntianyi Chen, Sumaya Almanee, Tuan Ngo, Xiang Liao, Ziwen Wan, Qi Alfred Chen, Joshua Garcia:
Doppelgänger Test Generation for Revealing Bugs in Autonomous Driving Software. 2591-2603 - Garrett Christian, Trey Woodlief, Sebastian G. Elbaum:
Generating Realistic and Diverse Tests for LiDAR-Based Perception Systems. 2604-2616 - Mariam Guizani, Aileen Abril Castro-Guzman, Anita Sarma, Igor Steinmacher:
Rules of Engagement: Why and How Companies Participate in OSS. 2617-2629 - Boming Xia, Tingting Bi, Zhenchang Xing, Qinghua Lu, Liming Zhu:
An Empirical Study on Software Bill of Materials: Where We Stand and the Road Ahead. 2630-2642
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