default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID44th ICSE 2022: Pittsburgh, PA, USA
- 44th IEEE/ACM 44th International Conference on Software Engineering, ICSE 2022, Pittsburgh, PA, USA, May 25-27, 2022. ACM 2022, ISBN 978-1-4503-9221-1
- Matthew B. Dwyer:
Message from the ICSE 2022 General Chair. xxix-xxx - Daniela E. Damian, Andreas Zeller:
Message from the ICSE 2022 Program Chairs. xxxi-xxxii - Emily First
, Yuriy Brun:
Diversity-Driven Automated Formal Verification. 1-13 - Wenqiang Li, Jiameng Shi, Fengjun Li, Jingqiang Lin, Wei Wang, Le Guan:
$\mu AFL$: Non-intrusive Feedback-driven Fuzzing for Microcontroller Firmware. 1-12 - Changan Niu, Chuanyi Li, Vincent Ng, Jidong Ge, Liguo Huang, Bin Luo:
SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations. 1-13 - Sara Moshtari, Ahmet Okutan, Mehdi Mirakhorli:
A Grounded Theory Based Approach to Characterize Software Attack Surfaces. 13-24 - Ronnie Edson de Souza Santos, Paul Ralph:
A Grounded Theory of Coordination in Remote-First and Hybrid Software Teams. 25-35 - Eduard Baranov, Sourav Chakraborty, Axel Legay, Kuldeep S. Meel, N. Variyam Vinodchandran:
A Scalable t-wise Coverage Estimator. 36-47 - Huan Xie, Yan Lei, Meng Yan, Yue Yu, Xin Xia, Xiaoguang Mao:
A Universal Data Augmentation Approach for Fault Localization. 48-60 - Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xiao Ling, Michael R. Lyu:
Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching. 61-72 - Xinyu Gao, Yang Feng, Yining Yin, Zixi Liu, Zhenyu Chen, Baowen Xu:
Adaptive Test Selection for Deep Neural Networks. 73-85 - Xin Tan, Kai Gao, Minghui Zhou, Li Zhang:
An Exploratory Study of Deep learning Supply Chain. 86-98 - Anastasia Ruvimova, Alexander Lill, Jan Gugler, Lauren C. Howe, Elaine Huang, Gail C. Murphy, Thomas Fritz:
An Exploratory Study of Productivity Perceptions in Software Teams. 99-111 - Preksha Nema, Pauline Anthonysamy, Nina Taft, Sai Teja Peddinti:
Analyzing User Perspectives on Mobile App Privacy at Scale. 112-124 - Sinan Wang, Yibo Wang, Xian Zhan, Ying Wang, Yepang Liu, Xiapu Luo, Shing-Chi Cheung:
APER: Evolution-Aware Runtime Permission Misuse Detection for Android Apps. 125-137 - Yintong Huo, Yuxin Su, Hongming Zhang, Michael R. Lyu:
ARCLIN: Automated API Mention Resolution for Unformatted Texts. 138-149 - Ze Tang, Xiaoyu Shen, Chuanyi Li, Jidong Ge, Liguo Huang, Zheling Zhu, Bin Luo:
AST-Trans: Code Summarization with Efficient Tree-Structured Attention. 150-162 - Hao Yu, Yiling Lou, Ke Sun, Dezhi Ran, Tao Xie, Dan Hao, Ying Li, Ge Li, Qianxiang Wang:
Automated Assertion Generation via Information Retrieval and Its Integration with Deep learning. 163-174 - Runhan Feng, Ziyang Yan, Shiyan Peng, Yuanyuan Zhang:
Automated Detection of Password Leakage from Public GitHub Repositories. 175-186 - Saad Ezzini, Sallam Abualhaija, Chetan Arora, Mehrdad Sabetzadeh:
Automated Handling of Anaphoric Ambiguity in Requirements: A Multi-solution Study. 187-199 - Zhilei Ren, Shiwei Sun, Jifeng Xuan, Xiaochen Li, Zhide Zhou, He Jiang:
Automated Patching for Unreproducible Builds. 200-211 - Chengcheng Wan, Shicheng Liu, Sophie Xie, Yifan Liu, Henry Hoffmann, Michael Maire, Shan Lu:
Automated Testing of Software that Uses Machine Learning APIs. 212-224 - Xinyu Liu, Qi Zhou, Joy Arulraj, Alessandro Orso:
Automatic Detection of Performance Bugs in Database Systems using Equivalent Queries. 225-236 - Patanamon Thongtanunam, Chanathip Pornprasit, Chakkrit Tantithamthavorn:
AutoTransform: Automated Code Transformation to Support Modern Code Review Process. 237-248 - Hoang Lam Nguyen, Lars Grunske:
BEDIVFUZZ: Integrating Behavioral Diversity into Generator-based Fuzzing. 249-261 - Christoph Gote, Pavlin Mavrodiev, Frank Schweitzer, Ingo Scholtes:
Big Data = Big Insights? Operationalising Brooks' Law in a Massive GitHub Data Set. 262-273 - Mairieli Santos Wessel, Ahmad Abdellatif, Igor Wiese, Tayana Conte, Emad Shihab, Marco Aurélio Gerosa, Igor Steinmacher:
Bots for Pull Requests: The Good, the Bad, and the Promising. 274-286 - Deze Wang, Zhouyang Jia, Shanshan Li, Yue Yu, Yun Xiong, Wei Dong, Xiangke Liao:
Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding. 287-298 - Lin Shi, Fangwen Mu, Yumin Zhang, Ye Yang, Junjie Chen, Xiao Chen, Hanzhi Jiang, Ziyou Jiang, Qing Wang:
BugListener: Identifying and Synthesizing Bug Reports from Collaborative Live Chats. 299-311 - Chen Zhang, Bihuan Chen, Xin Peng, Wenyun Zhao:
Buildsheriff: Change-Aware Test Failure Triage for Continuous Integration Builds. 312-324 - Clemens Dubslaff, Kallistos Weis, Christel Baier, Sven Apel:
Causality in Configurable Software Systems. 325-337 - Bing Sun, Jun Sun, Long H. Pham, Tie Shi:
Causality-Based Neural Network Repair. 338-349 - Daniel Sokolowski, Pascal Weisenburger, Guido Salvaneschi:
Change Is the Only Constant: Dynamic Updates for Workflows. 350-362 - Tao Wang, Qingxin Xu, Xiaoning Chang, Wensheng Dou, Jiaxin Zhu, Jinhui Xie, Yuetang Deng, Jianbo Yang, Jiaheng Yang, Jun Wei, Tao Huang:
Characterizing and Detecting Bugs in WeChat Mini-Programs. 363-375 - Moshi Wei, Nima Shiri Harzevili, Yuchao Huang, Junjie Wang, Song Wang:
CLEAR: Contrastive Learning for API Recommendation. 376-387 - Weisong Sun, Chunrong Fang, Yuchen Chen, Guanhong Tao, Tingxu Han, Quanjun Zhang:
Code Search based on Context-aware Code Translation. 388-400 - Maliheh Izadi, Roberta Gismondi, Georgios Gousios:
CodeFill: Multi-token Code Completion by Jointly learning from Structure and Naming Sequences. 401-412 - Nadia Nahar, Shurui Zhou, Grace A. Lewis, Christian Kästner:
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process. 413-425 - Huayao Wu, Lixin Xu, Xintao Niu, Changhai Nie:
Combinatorial Testing of RESTful APIs. 426-437 - James Kukucka, Luís Pina, Paul Ammann, Jonathan Bell:
CONFETTI: Amplifying Concolic Guidance for Fuzzers. 438-450 - Wei Cheng, Xiangrong Zhu, Wei Hu:
Conflict-aware Inference of Python Compatible Runtime Environments with Domain Knowledge Graph. 451-461 - Ruidong Han, Chao Yang, Siqi Ma, Jianfeng Ma, Cong Sun, Juanru Li, Elisa Bertino:
Control Parameters Considered Harmful: Detecting Range Specification Bugs in Drone Configuration Modules via Learning-Guided Search. 462-473 - Cheng Wen, Mengda He, Bohao Wu, Zhiwu Xu, Shengchao Qin:
Controlled Concurrency Testing via Periodical Scheduling. 474-486 - Yitian Chai, Hongyu Zhang, Beijun Shen, Xiaodong Gu:
Cross-Domain Deep Code Search with Meta Learning. 487-498 - Rongchen Xu, Jianhui Chen, Fei He:
Data-Driven Loop Bound Learning for Termination Analysis. 499-510 - Yi Li, Shaohua Wang, Tien N. Nguyen:
DEAR: A Novel Deep Learning-based Approach for Automated Program Repair. 511-523 - Rangeet Pan, Hridesh Rajan:
Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules. 524-535 - Dirk Beyer, Jan Haltermann, Thomas Lemberger, Heike Wehrheim:
Decomposing Software Verification into Off-the-Shelf Components: An Application to CEGAR. 536-548 - Manish Shetty, Chetan Bansal, Suman Nath, Sean Bowles, Henry Wang, Ozgur Arman, Siamak Ahari:
DeepAnalyze: Learning to Localize Crashes at Scale. 549-560 - Mohammad Wardat, Breno Dantas Cruz, Wei Le, Hridesh Rajan:
DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs. 561-572 - Jialun Cao, Meiziniu Li, Xiao Chen, Ming Wen, Yongqiang Tian, Bo Wu, Shing-Chi Cheung:
DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs. 573-585 - Eliska Kloberdanz, Kyle G. Kloberdanz, Wei Le:
DeepStability: A Study of Unstable Numerical Methods and Their Solutions in Deep Learning. 586-597 - Zixi Liu, Yang Feng, Yining Yin, Zhenyu Chen:
DeepState: Selecting Test Suites to Enhance the Robustness of Recurrent Neural Networks. 598-609 - Jie He, Ezio Bartocci, Dejan Nickovic, Haris Isakovic, Radu Grosu:
DeepSTL - From English Requirements to Signal Temporal Logic. 610-622 - Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin, Dongmei Zhang:
DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning. 623-634 - Xing Zhang, Jiongyi Chen, Chao Feng, Ruilin Li, Wenrui Diao, Kehuan Zhang, Jing Lei, Chaojing Tang:
Default: Mutual Information-based Crash Triage for Massive Crashes. 635-646 - Shishuai Yang, Rui Li, Jiongyi Chen, Wenrui Diao, Shanqing Guo:
Demystifying Android Non-SDK APls: Measurement and Understanding. 647-658 - Yu Hao, Hang Zhang, Guoren Li, Xingyun Du, Zhiyun Qian, Ardalan Amiri Sani:
Demystifying the Dependency Challenge in Kernel Fuzzing. 659-671 - Chengwei Liu, Sen Chen, Lingling Fan, Bihuan Chen, Yang Liu, Xin Peng:
Demystifying the Vulnerability Propagation and Its Evolution via Dependency Trees in the NPM Ecosystem. 672-684 - Shao Yang, Yuehan Wang, Yuan Yao, Haoyu Wang, Yanfang (Fanny) Ye, Xusheng Xiao:
DescribeCtx: Context-Aware Description Synthesis for Sensitive Behaviors in Mobile Apps. 685-697 - Hong Jin Kang, Khai Loong Aw, David Lo:
Detecting False Alarms from Automatic Static Analysis Tools: How Far are We? 698-709 - Courtney Miller, Sophie Cohen, Daniel Klug, Bogdan Vasilescu, Christian Kästner:
"Did You Miss My Comment or What?" Understanding Toxicity in Open Source Discussions. 710-722 - Jordan Samhi, Li Li, Tegawendé F. Bissyandé, Jacques Klein:
Difuzer: Uncovering Suspicious Hidden Sensitive Operations in Android Apps. 723-735 - Malinda Dilhara, Ameya Ketkar, Nikhith Sannidhi, Danny Dig:
Discovering Repetitive Code Changes in Python ML Systems. 736-748 - Miroslav Tushev, Fahimeh Ebrahimi, Anas Mahmoud:
Domain-Specific Analysis of Mobile App Reviews Using Keyword-Assisted Topic Models. 762-773 - Alexi Turcotte, Michael D. Shah, Mark W. Aldrich, Frank Tip:
DrAsync: Identifying and Visualizing Anti-Patterns in Asynchronous JavaScript. 774-785 - Gal Amram, Shahar Maoz, Itai Segall, Matan Yossef:
Dynamic Update for Synthesized GR(1) Controllers. 786-797 - Jiannan Wang, Thibaud Lutellier, Shangshu Qian, Hung Viet Pham, Lin Tan:
EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries. 798-810 - Fitash Ul Haq, Donghwan Shin, Lionel C. Briand:
Efficient Online Testing for DNN-Enabled Systems using Surrogate-Assisted and Many-Objective Optimization. 811-822 - Timur Babakol, Anthony Canino, Yu David Liu:
Eflect: Porting Energy-Aware Applications to Shared Environments. 823-834 - Mirazul Haque, Yaswanth Yadlapalli, Wei Yang, Cong Liu:
EREBA: Black-box Energy Testing of Adaptive Neural Networks. 835-846 - Mingyuan Wu, Ling Jiang, Jiahong Xiang, Yuqun Zhang, Guowei Yang, Huixin Ma, Sen Nie, Shi Wu, Heming Cui, Lingming Zhang:
Evaluating and Improving Neural Program-Smoothing-based Fuzzing. 847-858 - Richard Schumi, Jun Sun:
ExAIS: Executable AI Semantics. 859-870 - Ming Fan, Wenying Wei, Wuxia Jin, Zijiang Yang, Ting Liu:
Explanation-Guided Fairness Testing through Genetic Algorithm. 871-882 - Efe Barlas, Xin Du, James C. Davis:
Exploiting Input Sanitization for Regex Denial of Service. 883-895 - Jin Wu, Jian Dong, Ruili Fang, Wen Zhang, Wenwen Wang, Decheng Zuo:
FADATest: Fast and Adaptive Performance Regression Testing of Dynamic Binary Translation Systems. 896-908 - Saeid Tizpaz-Niari, Ashish Kumar, Gang Tan, Ashutosh Trivedi:
Fairness-aware Configuration of Machine Learning Libraries. 909-920 - Xuanqi Gao, Juan Zhai, Shiqing Ma, Chao Shen, Yufei Chen, Qian Wang:
Fairneuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons. 921-933 - Akshay Utture, Jens Palsberg:
Fast and Precise Application Code Analysis using a Partial Library. 934-945 - Agnieszka Ciborowska, Kostadin Damevski:
Fast Changeset-based Bug Localization with BERT. 946-957 - Muhan Zeng, Yiqian Wu, Zhentao Ye, Yingfei Xiong, Xin Zhang, Lu Zhang:
Fault Localization via Efficient Probabilistic Modeling of Program Semantics. 958-969 - Jinhao Dong, Yiling Lou, Qihao Zhu, Zeyu Sun, Zhilin Li, Wenjie Zhang, Dan Hao:
FIRA: Fine-Grained Graph-Based Code Change Representation for Automated Commit Message Generation. 970-981 - Maxime Cordy, Renaud Rwemalika, Adriano Franci, Mike Papadakis, Mark Harman:
FlakiMe: Laboratory-Controlled Test Flakiness Impact Assessment. 982-994 - Anjiang Wei, Yinlin Deng, Chenyuan Yang, Lingming Zhang:
Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source. 995-1007 - Facundo Molina, Marcelo d'Amorim, Nazareno Aguirre:
Fuzzing Class Specifications. 1008-1020 - Michael Coblenz, Michelle L. Mazurek, Michael Hicks:
Garbage Collection Makes Rust Easier to Use: A Randomized Controlled Trial of the Bronze Garbage Collector. 1021-1032 - Yalin Liu, Jinfeng Lin, Oghenemaro Anuyah, Ronald A. Metoyer, Jane Cleland-Huang:
Generating and Visualizing Trace Link Explanations. 1033-1044 - Sidong Feng, Chunyang Chen:
GIFdroid: Automated Replay of Visual Bug Reports for Android Apps. 1045-1057 - Naomichi Shimada, Tao Xiao, Hideaki Hata, Christoph Treude, Kenichi Matsumoto:
GitHub Sponsors: Exploring a New Way to Contribute to Open Source. 1058-1069 - Harrison Green, Thanassis Avgerinos:
GraphFuzz: Library API Fuzzing with Lifetime-aware Dataflow Graphs. 1070-1081 - Stefanos Georgiou, Maria Kechagia, Tushar Sharma, Federica Sarro, Ying Zou:
Green AI: Do Deep Learning Frameworks Have Different Costs? 1082-1094 - Zanis Ali Khan, Donghwan Shin, Domenico Bianculli, Lionel C. Briand:
Guidelines for Assessing the Accuracy of Log Message Template Identification Techniques. 1095-1106 - Madeline Endres, Kevin Boehnke, Westley Weimer:
Hashing It Out: A Survey of Programmers' Cannabis Usage, Perception, and Motivation. 1107-1119 - Chijung Jung, Doowon Kim, An Chen, Weihang Wang, Yunhui Zheng, Kyu Hyung Lee, Yonghwi Kwon:
Hiding Critical Program Components via Ambiguous Translation. 1120-1132 - Yingquan Zhao, Zan Wang, Junjie Chen, Mengdi Liu, Mingyuan Wu, Yuqun Zhang, Lingming Zhang:
History-Driven Test Program Synthesis for JVM Testing. 1133-1144 - Boyue Caroline Hu, Lina Marsso, Krzysztof Czarnecki, Rick Salay, Huakun Shen, Marsha Chechik:
If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components. 1145-1156 - Nils Mehlhorn, Stefan Hanenberg:
Imperative versus Declarative Collection Processing: An RCT on the Understandability of Traditional Loops versus the Stream API in Java. 1157-1168 - Xiangxin Meng, Xu Wang, Hongyu Zhang, Hailong Sun, Xudong Liu:
Improving Fault Localization and Program Repair with Deep Semantic Features and Transferred Knowledge. 1169-1180 - Zeyu Sun, Jie M. Zhang, Yingfei Xiong, Mark Harman, Mike Papadakis, Lu Zhang:
Improving Machine Translation Systems via Isotopic Replacement. 1181-1192 - Michael C. Gerten, Alexis L. Marsh, James I. Lathrop, Myra B. Cohen, Andrew S. Miner, Titus H. Klinge:
Inference and Test Generation Using Program Invariants in Chemical Reaction Networks. 1193-1205 - Ameya Ketkar, Oleg Smirnov, Nikolaos Tsantalis, Danny Dig, Timofey Bryksin:
Inferring and Applying Type Changes. 1206-1218 - Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram K. Rajamani, Rahul Sharma:
Jigsaw: Large Language Models meet Program Synthesis. 1219-1231 - Jordan Samhi, Jun Gao, Nadia Daoudi, Pierre Graux, Henri Hoyez, Xiaoyu Sun, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein:
JuCify: A Step Towards Android Code Unification for Enhanced Static Analysis. 1232-1244 - Hongjie Ye, Wei Chen, Wensheng Dou, Guoquan Wu, Jun Wei:
Knowledge-Based Environment Dependency Inference for Python Programs. 1245-1256 - Qinsheng Hou, Wenrui Diao, Yanhao Wang, Xiaofeng Liu, Song Liu, Lingyun Ying, Shanqing Guo, Yuanzhi Li, Meining Nie, Haixin Duan:
Large-scale Security Measurements on the Android Firmware Ecosystem. 1257-1268 - Shuofei Zhu, Ziyi Zhang, Boqin Qin, Aiping Xiong, Linhai Song:
Learning and Programming Challenges of Rust: A Mixed-Methods Study. 1269-1281 - Hyunsu Kim, Mukund Raghothaman, Kihong Heo:
Learning Probabilistic Models for Static Analysis Alarms. 1282-1293 - Fang Liu, Ge Li, Zhiyi Fu, Shuai Lu, Yiyang Hao, Zhi Jin:
Learning to Recommend Method Names with Global Context. 1294-1306 - Anant Kharkar, Roshanak Zilouchian Moghaddam, Matthew Jin, Xiaoyu Liu, Xin Shi, Colin B. Clement, Neel Sundaresan:
Learning to Reduce False Positives in Analytic Bug Detectors. 1307-1316 - Larissa Braz, Christian Aeberhard, Gül Çalikli, Alberto Bacchelli:
Less is More: Supporting Developers in Vulnerability Detection during Code Review. 1317-1329 - Keheliya Gallaba, Maxime Lamothe, Shane McIntosh:
Lessons from Eight Years of Operational Data from a Continuous Integration Service: An Exploratory Case Study of CircleCI. 1330-1342 - Ruijie Meng, Zhen Dong, Jialin Li, Ivan Beschastnikh, Abhik Roychoudhury:
Linear-time Temporal Logic guided Greybox Fuzzing. 1343-1355 - Van-Hoang Le, Hongyu Zhang:
Log-based Anomaly Detection with Deep Learning: How Far Are We? 1356-1367 - Giang Nguyen, Md Johirul Islam, Rangeet Pan, Hridesh Rajan:
Manas: Mining Software Repositories to Assist AutoML. 1368-1380 - Guoping Rong, Yifan Zhang, Lanxin Yang, Fuli Zhang, Hongyu Kuang, He Zhang:
Modeling Review History for Reviewer Recommendation: A Hypergraph Approach. 1381-1392 - Can Yang, Zhengzi Xu, Hongxu Chen, Yang Liu, Xiaorui Gong, Baoxu Liu:
ModX: Binary Level Partially Imported Third-Party Library Detection via Program Modularization and Semantic Matching. 1393-1405 - Yi Liu, Yuekang Li, Gelei Deng, Yang Liu, Ruiyuan Wan, Runchao Wu, Dandan Ji, Shiheng Xu, Minli Bao:
Morest: Model-based RESTful API Testing with Execution Feedback. 1406-1417 - Jiazhen Gu, Xuchuan Luo, Yangfan Zhou, Xin Wang:
Muffin: Testing Deep Learning Libraries via Neural Architecture Fuzzing. 1418-1430 - Haochen He, Zhouyang Jia, Shanshan Li, Yue Yu, Chenglong Zhou, Qing Liao, Ji Wang, Xiangke Liao:
Multi-Intention-Aware Configuration Selection for Performance Tuning. 1431-1442 - Toufique Ahmed, Premkumar T. Devanbu:
Multilingual training for Software Engineering. 1443-1455 - Sicong Cao, Xiaobing Sun, Lili Bo, Rongxin Wu, Bin Li, Chuanqi Tao:
MVD: Memory-Related Vulnerability Detection Based on Flow-Sensitive Graph Neural Networks. 1456-1468 - Jibesh Patra, Michael Pradel:
Nalin: learning from Runtime Behavior to Find Name-Value Inconsistencies in Jupyter Notebooks. 1469-1481 - Zhou Yang, Jieke Shi, Junda He, David Lo:
Natural Attack for Pre-trained Models of Code. 1482-1493 - Ellen Arteca, Sebastian Harner, Michael Pradel, Frank Tip:
Nessie: Automatically Testing JavaScript APIs with Asynchronous Callbacks. 1494-1505 - He Ye, Matias Martinez, Martin Monperrus:
Neural Program Repair with Execution-based Backpropagation. 1506-1518 - Haibin Zheng, Zhiqing Chen, Tianyu Du, Xuhong Zhang, Yao Cheng, Shouling Ji, Jingyi Wang, Yue Yu, Jinyin Chen:
NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification. 1519-1531 - Junhee Lee, Seongjoon Hong, Hakjoo Oh:
NPEX: Repairing Java Null Pointer Exceptions without Tests. 1532-1544 - Zhenming Li, Ying Wang, Zeqi Lin, Shing-Chi Cheung, Jian-Guang Lou:
Nufix: Escape From NuGet Dependency Maze. 1545-1557 - Bolun Li, Hao Xu, Qidong Zhao, Pengfei Su, Milind Chabbi, Shuyin Jiao, Xu Liu:
OJXPERF: Featherlight Object Replica Detection for Java Programs. 1558-1570 - Miguel Velez, Pooyan Jamshidi, Norbert Siegmund, Sven Apel, Christian Kästner:
On Debugging the Performance of Configurable Software Systems: Developer Needs and Tailored Tool Support. 1571-1583 - Georges Aaron Randrianaina, Xhevahire Tërnava, Djamel Eddine Khelladi, Mathieu Acher:
On the Benefits and Limits of Incremental Build of Software Configurations: An Exploratory Study. 1584-1596 - Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun:
On the Evaluation of Neural Code Summarization. 1597-1608 - Zhensu Sun, Li Li, Yan Liu, Xiaoning Du, Li Li:
On the Importance of Building High-quality Training Datasets for Neural Code Search. 1609-1620 - Marcel Böhme, László Szekeres, Jonathan Metzman:
On the Reliability of Coverage-Based Fuzzer Benchmarking. 1621-1633 - Mingyuan Wu, Ling Jiang, Jiahong Xiang, Yanwei Huang, Heming Cui, Lingming Zhang, Yuqun Zhang:
One Fuzzing Strategy to Rule Them All. 1634-1645 - Jia Chen, Peng Wang, Wei Wang:
Online Summarizing Alerts through Semantic and Behavior Information. 1646-1657 - Kunpeng Zhang, Xi Xiao, Xiaogang Zhu, Ruoxi Sun, Minhui Xue, Sheng Wen:
Path Transitions Tell More: Optimizing Fuzzing Schedules via Runtime Program States. 1658-1668 - Jingzhu He, Yuhang Lin, Xiaohui Gu, Chin-Chia Michael Yeh, Zhongfang Zhuang:
PerfSig: Extracting Performance Bug Signatures via Multi-modality Causal Analysis. 1669-1680 - Adriana Sejfia, Max Schäfer:
Practical Automated Detection of Malicious npm Packages. 1681-1692 - Xing Hu, Xin Xia, David Lo, Zhiyuan Wan, Qiuyuan Chen, Thomas Zimmermann:
Practitioners' Expectations on Automated Code Comment Generation. 1693-1705 - Seemanta Saha, Mara Downing, Tegan Brennan, Tevfik Bultan:
PREACH: A Heuristic for Probabilistic Reachability to Identify Hard to Reach Statements. 1706-1717 - Yiyuan Guo, Jinguo Zhou, Peisen Yao, Qingkai Shi, Charles Zhang:
Precise Divide-By-Zero Detection with Affirmative Evidence. 1718-1729 - Anjiang Wei, Pu Yi, Zhengxi Li, Tao Xie, Darko Marinov, Wing Lam:
Preempting Flaky Tests via Non-Idempotent-Outcome Tests. 1730-1742 - Samuel J. Kaufman, Ryan Featherman, Justin Alvin, Bob Kurtz, Paul Ammann, René Just:
Prioritizing Mutants to Guide Mutation Testing. 1743-1754 - Changlin Liu, Hanlin Wang, Tianming Liu, Diandian Gu, Yun Ma, Haoyu Wang, Xusheng Xiao:
PROMAL: Precise Window Transition Graphs for Android via Synergy of Program Analysis and Machine Learning. 1755-1767 - Matthías Páll Gissurarson, Leonhard Applis, Annibale Panichella, Arie van Deursen, David Sands:
PROPR: Property-Based Automatic Program Repair. 1768-1780 - Peiming Liu, Yanze Li, Bradley Swain, Jeff Huang:
PUS: A Fast and Highly Efficient Solver for Inclusion-based Pointer Analysis. 1781-1792 - Cong Li, Yanyan Jiang, Chang Xu:
Push-Button Synthesis of Watch Companions for Android Apps. 1793-1804 - William Eiers, Ganesh Sankaran, Albert Li, Emily O'Mahony, Benjamin Prince, Tevfik Bultan:
Quantifying Permissiveness of Access Control Policies. 1805-1817 - Suhwan Song, Jaewon Hur, Sunwoo Kim, Philip Rogers, Byoungyoung Lee:
R2Z2: Detecting Rendering Regressions in Web Browsers through Differential Fuzz Testing. 1818-1829 - Wenxin Xiao, Hao He, Weiwei Xu, Xin Tan, Jinhao Dong, Minghui Zhou:
Recommending Good First Issues in GitHub OSS Projects. 1830-1842 - Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang:
REFTY: Refinement Types for Valid Deep Learning Models. 1843-1855 - Ziqi Zhang, Yuanchun Li, Jindong Wang, Bingyan Liu, Ding Li, Yao Guo, Xiangqun Chen, Yunxin Liu:
ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing. 1856-1868 - Cailin Winston, Caleb Winston, Chloe N. Winston, Claris Winston, Cleah Winston, Rajesh P. N. Rao, René Just:
Repairing Brain-Computer Interfaces with Fault-Based Data Acquisition. 1869-1880 - Chengpeng Li, Chenguang Zhu, Wenxi Wang, August Shi:
Repairing Order-Dependent Flaky Tests via Test Generation. 1881-1892 - Juan Manuel Florez, Jonathan Perry, Shiyi Wei, Andrian Marcus:
Retrieving Data Constraint Implementations Using Fine-Grained Code Patterns. 1893-1905 - Zhen Li, Qian (Guenevere) Chen, Chen Chen, Yayi Zou, Shouhuai Xu:
RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation. 1906-1918 - Michael Cao, Khaled Ahmed, Julia Rubin:
Rotten Apples Spoil the Bunch: An Anatomy of Google Play Malware. 1919-1931 - Ripon K. Saha, Akira Ura, Sonal Mahajan, Chenguang Zhu, Linyi Li, Yang Hu, Hiroaki Yoshida, Sarfraz Khurshid, Mukul R. Prasad:
SAPIENTML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions. 1932-1944 - Yi Xiang, Han Huang, Yuren Zhou, Sizhe Li, Chuan Luo, Qingwei Lin, Miqing Li, Xiaowei Yang:
Search-based Diverse Sampling from Real-world Software Product Lines. 1945-1957 - Trey Woodlief, Sebastian G. Elbaum, Kevin Sullivan:
Semantic Image Fuzzing of AI Perception Systems. 1958-1969 - Neng Zhang, Chao Liu, Xin Xia, Christoph Treude, Ying Zou, David Lo, Zibin Zheng:
ShellFusion: Answer Generation for Shell Programming Tasks via Knowledge Fusion. 1970-1981 - Yiwen Dong, Tianxiao Gu, Yongqiang Tian, Chengnian Sun:
SnR: Constraint-Based Type Inference for Incomplete Java Code Snippets. 1982-1993 - Tobias Lorey, Paul Ralph, Michael Felderer:
Social Science Theories in Software Engineering Research. 1994-2005 - Yun Peng, Cuiyun Gao, Zongjie Li, Bowei Gao, David Lo, Qirun Zhang, Michael R. Lyu:
Static Inference Meets Deep learning: A Hybrid Type Inference Approach for Python. 2019-2030 - Quentin Stiévenart, David W. Binkley, Coen De Roover:
Static Stack-Preserving Intra-Procedural Slicing of WebAssembly Binaries. 2031-2042 - Akshay Utture, Shuyang Liu, Christian Gram Kalhauge, Jens Palsberg:
Striking a Balance: Pruning False-Positives from Static Call Graphs. 2043-2055 - Zach Patterson, Zenong Zhang, Brent Pappas, Shiyi Wei, Paul Gazzillo:
SugarC: Scalable Desugaring of Real-World Preprocessor Usage into Pure C. 2056-2067 - Sooyoung Cha, Myungho Lee, Seokhyun Lee, Hakjoo Oh:
SYMTUNER: Maximizing the Power of Symbolic Execution by Adaptively Tuning External Parameters. 2068-2079 - Anastasia Danilova, Stefan Horstmann, Matthew Smith, Alena Naiakshina:
Testing Time Limits in Screener Questions for Online Surveys with Programmers. 2080-2090 - Sumon Biswas, Mohammad Wardat, Hridesh Rajan:
The Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large. 2091-2103 - David Reid, Mahmoud Jahanshahi, Audris Mockus:
The Extent of Orphan Vulnerabilities from Code Reuse in Open Source Software. 2104-2115 - Hongbo Fang, Hemank Lamba, James D. Herbsleb, Bogdan Vasilescu:
"This Is Damn Slick!" Estimating the Impact of Tweets on Open Source Project Popularity and New Contributors. 2116-2129 - Elizabeth Dinella, Gabriel Ryan, Todd Mytkowicz, Shuvendu K. Lahiri:
TOGA: A Neural Method for Test Oracle Generation. 2130-2141 - Yanjie Zhao, Li Li, Kui Liu, John C. Grundy:
Towards Automatically Repairing Compatibility Issues in Published Android Apps. 2142-2153 - Xing Zhang, Zhenjiang Hu:
Towards Bidirectional Live Programming for Incomplete Programs. 2154-2164 - Samuel Benton, Yuntong Xie, Lan Lu, Mengshi Zhang, Xia Li, Lingming Zhang:
Towards Boosting Patch Execution On-the-Fly. 2165-2176 - Doriane Olewicki, Mathieu Nayrolles, Bram Adams:
Towards language-independent Brown Build Detection. 2177-2188 - Renjue Li, Pengfei Yang, Cheng-Chao Huang, Youcheng Sun, Bai Xue, Lijun Zhang:
Towards Practical Robustness Analysis for DNNs based on PAC-Model Learning. 2189-2201 - Boyuan Chen, Mingzhi Wen, Yong Shi, Dayi Lin, Gopi Krishnan Rajbahadur, Zhen Ming Jiang:
Towards Training Reproducible Deep Learning Models. 2202-2214 - Yanhui Li, Linghan Meng, Lin Chen, Li Yu, Di Wu, Yuming Zhou, Baowen Xu:
Training Data Debugging for the Fairness of Machine Learning Software. 2215-2227 - Yannic Noller, Ridwan Shariffdeen, Xiang Gao, Abhik Roychoudhury:
Trust Enhancement Issues in Program Repair. 2228-2240 - Amir M. Mir, Evaldas Latoskinas, Sebastian Proksch, Georgios Gousios:
Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python. 2241-2252 - Zongjie Li, Pingchuan Ma, Huaijin Wang, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu:
Unleashing the Power of Compiler Intermediate Representation to Enhance Neural Program Embeddings. 2253-2265 - Mattia Fazzini, Chase Choi, Juan Manuel Copia, Gabriel Lee, Yoshiki Kakehi, Alessandra Gorla, Alessandro Orso:
Use of Test Doubles in Android Testing: An In-Depth Investigation. 2266-2278 - Antonio Mastropaolo, Luca Pascarella, Gabriele Bavota:
Using Deep Learning to Generate Complete Log Statements. 2279-2290 - Rosalia Tufano, Simone Masiero, Antonio Mastropaolo, Luca Pascarella, Denys Poshyvanyk, Gabriele Bavota:
Using Pre-Trained Models to Boost Code Review Automation. 2291-2302 - Rosalia Tufano, Simone Scalabrino, Luca Pascarella, Emad Aghajani, Rocco Oliveto, Gabriele Bavota:
Using Reinforcement Learning for Load Testing of Video Games. 2303-2314 - Péter Garamvölgyi, Yuxi Liu, Dong Zhou, Fan Long, Ming Wu:
Utilizing Parallelism in Smart Contracts on Decentralized Blockchains by Taming Application-Inherent Conflicts. 2315-2326 - Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Graham Neubig, Bogdan Vasilescu, Claire Le Goues:
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning. 2327-2339 - Geetam Chawla, Navneet Aman, Raghavan Komondoor, Ashish Bokil, Nilesh Kharat:
Verification of ORM-based Controllers by Summary Inference. 2340-2351 - Lingfeng Bao, Xin Xia, Ahmed E. Hassan, Xiaohu Yang:
V-SZZ: Automatic Identification of Version Ranges Affected by CVE Vulnerabilities. 2352-2364 - Yueming Wu, Deqing Zou, Shihan Dou, Wei Yang, Duo Xu, Hai Jin:
VulCNN: An Image-inspired Scalable Vulnerability Detection System. 2365-2376 - Yao Wan, Wei Zhao, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin:
What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code. 2377-2388 - Yingchen Tian, Yuxia Zhang, Klaas-Jan Stol, Lin Jiang, Hui Liu:
What Makes a Good Commit Message? 2389-2401 - Lucas Gren, Paul Ralph:
What Makes Effective Leadership in Agile Software Development Teams? 2402-2414 - Elizabeth Wyss, Lorenzo De Carli, Drew Davidson:
What the Fork? Finding Hidden Code Clones in npm. 2415-2426 - Yawen Wang, Junjie Wang, Hongyu Zhang, Xuran Ming, Lin Shi, Qing Wang:
Where is Your App Frustrating Users? 2427-2439 - Zhengjie Du, Yuekang Li, Yang Liu, Bing Mao:
Windranger: A Directed Greybox Fuzzer driven by Deviation Basic Blocks. 2440-2451
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-12-04 22:07 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
