| 2022 | 'Who built this crap?' Developing a Software Engineering Domain Specific Toxicity Detector. Jaydeb Sarker |
| 2022 | 37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022, Rochester, MI, USA, October 10-14, 2022 |
| 2022 | A Comprehensive Evaluation of Android ICC Resolution Techniques. Jiwei Yan, Shixin Zhang, Yepang Liu, Xi Deng, Jun Yan, Jian Zhang |
| 2022 | A Drift Handling Approach for Self-Adaptive ML Software in Scalable Industrial Processes. Firas Bayram, Bestoun S. Ahmed, Erik Hallin, Anton Engman |
| 2022 | A First Look at CI/CD Adoptions in Open-Source Android Apps. Pei Liu, Xiaoyu Sun, Yanjie Zhao, Yonghui Liu, John Grundy, Li Li |
| 2022 | A Framework for Testing Chemical Reaction Networks. Michael C. Gerten |
| 2022 | A Hybrid Approach for Inference between Behavioral Exception API Documentation and Implementations, and Its Applications. Hoan Anh Nguyen, Hung Dang Phan, Syeda Khairunnesa Samantha, Son Nguyen, Aashish Yadavally, Shaohua Wang, Hridesh Rajan, Tien N. Nguyen |
| 2022 | A Light Bug Triage Framework for Applying Large Pre-trained Language Model. Jaehyung Lee, Kisun Han, Hwanjo Yu |
| 2022 | A Novel Coverage-guided Greybox Fuzzing based on Power Schedule Optimization with Time Complexity. Jinfu Chen, Shengran Wang, Saihua Cai, Chi Zhang, Haibo Chen, Jingyi Chen, Jianming Zhang |
| 2022 | A Review of AI-augmented End-to-End Test Automation Tools. Phuoc Pham, Vu Nguyen, Tien N. Nguyen |
| 2022 | A Role Based Model Template for Specifying Virtual Reality Software. Sai Anirudh Karre, Vivek Pareek, Raghav Mittal, Raghu Reddy |
| 2022 | A Scenario Distribution Model for Effective and Efficient Testing of Autonomous Driving Systems. Qunying Song, Per Runeson, Stefan Persson |
| 2022 | A Study of User Privacy in Android Mobile AR Apps. Xiaoyi Yang, Xueling Zhang |
| 2022 | A Transferable Time Series Forecasting Service Using Deep Transformer Model for Online Systems. Tao Huang, Pengfei Chen, Jingrun Zhang, Ruipeng Li, Rui Wang |
| 2022 | A Unified Specification Mining Framework for Smart Contracts. Ye Liu |
| 2022 | A fault injection platform for learning AIOps models. Frank Bagehorn, Jesus Rios, Saurabh Jha, Robert Filepp, Larisa Shwartz, Naoki Abe, Xi Yang |
| 2022 | A model for automatic generating reusable code from multiple GUIs. Cícero A. G. Araújo |
| 2022 | A real-world case study for automated ticket team assignment using natural language processing and explainable models. Lucas Marcondes Pavelski, Rodrigo de Souza Braga |
| 2022 | A transformer-based IDE plugin for vulnerability detection. Cláudia Mamede, Eduard Pinconschi, Rui Abreu |
| 2022 | ADEPT: A Testing Platform for Simulated Autonomous Driving. Sen Wang, Zhuheng Sheng, Jingwei Xu, Taolue Chen, Junjun Zhu, Shuhui Zhang, Yuan Yao, Xiaoxing Ma |
| 2022 | AST-Probe: Recovering abstract syntax trees from hidden representations of pre-trained language models. José Antonio Hernández López, Martin Weyssow, Jesús Sánchez Cuadrado, Houari A. Sahraoui |
| 2022 | ASTOR: An Approach to Identify Security Code Reviews. Rajshakhar Paul |
| 2022 | AUSERA: Automated Security Vulnerability Detection for Android Apps. Sen Chen, Yuxin Zhang, Lingling Fan, Jiaming Li, Yang Liu |
| 2022 | Accelerating Build Dependency Error Detection via Virtual Build. Rongxin Wu, Minglei Chen, Chengpeng Wang, Gang Fan, Jiguang Qiu, Charles Zhang |
| 2022 | Accelerating OCR-Based Widget Localization for Test Automation of GUI Applications. Ju Qian, Yingwei Ma, Chenghao Lin, Lin Chen |
| 2022 | An Empirical Study of Automation in Software Security Patch Management. Nesara Dissanayake, Asangi Jayatilaka, Mansooreh Zahedi, Muhammad Ali Babar |
| 2022 | An Empirical Study on Numerical Bugs in Deep Learning Programs. Gan Wang, Zan Wang, Junjie Chen, Xiang Chen, Ming Yan |
| 2022 | Answer Summarization for Technical Queries: Benchmark and New Approach. Chengran Yang, Bowen Xu, Ferdian Thung, Yucen Shi, Ting Zhang, Zhou Yang, Xin Zhou, Jieke Shi, Junda He, DongGyun Han, David Lo |
| 2022 | Answering Software Deployment Questions via Neural Machine Reading at Scale. Guanjie Qiu, Diwei Chen, Shuai Zhang, Yitian Chai, Xiaodong Gu, Beijun Shen |
| 2022 | AntiCopyPaster: Extracting Code Duplicates As Soon As They Are Introduced in the IDE. Eman Abdullah AlOmar, Anton Ivanov, Zarina Kurbatova, Yaroslav Golubev, Mohamed Wiem Mkaouer, Ali Ouni, Timofey Bryksin, Le Nguyen, Amit Dilip Kini, Aditya Thakur |
| 2022 | Application of Natural Language Processing Towards Autonomous Software Testing. Khang Pham, Vu Nguyen, Tien N. Nguyen |
| 2022 | Are Neural Bug Detectors Comparable to Software Developers on Variable Misuse Bugs? Cedric Richter, Jan Haltermann, Marie-Christine Jakobs, Felix Pauck, Stefan Schott, Heike Wehrheim |
| 2022 | Are they Toeing the Line? Diagnosing Privacy Compliance Violations among Browser Extensions. Yuxi Ling, Kailong Wang, Guangdong Bai, Haoyu Wang, Jin Song Dong |
| 2022 | Assessment of Automated (Intelligent) Toolchains. Aurora Papotti |
| 2022 | Augur: Dynamic Taint Analysis for Asynchronous JavaScript. Mark W. Aldrich, Alexi Turcotte, Matthew Blanco, Frank Tip |
| 2022 | Auto Off-Target: Enabling Thorough and Scalable Testing for Complex Software Systems. Tomasz Kuchta, Bartosz Zator |
| 2022 | Automated Feedback Generation for Competition-Level Code. Jialu Zhang, De Li, John Charles Kolesar, Hanyuan Shi, Ruzica Piskac |
| 2022 | Automated Identification of Security-Relevant Configuration Settings Using NLP. Patrick Stöckle, Theresa Wasserer, Bernd Grobauer, Alexander Pretschner |
| 2022 | Automatic Code Documentation Generation Using GPT-3. Junaed Younus Khan, Gias Uddin |
| 2022 | Automatic Comment Generation via Multi-Pass Deliberation. Fangwen Mu, Xiao Chen, Lin Shi, Song Wang, Qing Wang |
| 2022 | Automatic Generation of Visualizations for Machine Learning Pipelines. Lei Liu, Wei-Peng Chen, Mehdi Bahrami, Mukul R. Prasad |
| 2022 | Automatic Software Timing Attack Evaluation & Mitigation on Clear Hardware Assumption. Prabuddha Chakraborty |
| 2022 | Automatically Detecting Visual Bugs in HTML5 Canvas Games. Finlay Macklon, Mohammad Reza Taesiri, Markos Viggiato, Stefan Antoszko, Natalia Romanova, Dale Paas, Cor-Paul Bezemer |
| 2022 | Automatically Fixing Breaking Changes of Data Science Libraries. Hailie Mitchell |
| 2022 | Automatically Tagging the "AAA" Pattern in Unit Test Cases Using Machine Learning Models. Chenhao Wei, Lu Xiao, Tingting Yu, Xinyu Chen, Xiao Wang, Sunny Wong, Abigail Clune |
| 2022 | B-AIS: An Automated Process for Black-box Evaluation of Visual Perception in AI-enabled Software against Domain Semantics. Hamed Barzamini, Mona Rahimi |
| 2022 | Boosting Spectrum-Based Fault Localization for Spreadsheets with Product Metrics in a Learning Approach. Adil Mukhtar, Birgit Hofer, Dietmar Jannach, Franz Wotawa, Konstantin Schekotihin |
| 2022 | Boosting the Revealing of Detected Violations in Deep Learning Testing: A Diversity-Guided Method. Xiaoyuan Xie, Pengbo Yin, Songqiang Chen |
| 2022 | BuildSonic: Detecting and Repairing Performance-Related Configuration Smells for Continuous Integration Builds. Chen Zhang, Bihuan Chen, Junhao Hu, Xin Peng, Wenyun Zhao |
| 2022 | Building recommenders for modelling languages with Droid. Lissette Almonte, Esther Guerra, Iván Cantador, Juan de Lara |
| 2022 | CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture. Vikram Nitin, Shubhi Asthana, Baishakhi Ray, Rahul Krishna |
| 2022 | CBMC-SSM: Bounded Model Checking of C Programs with Symbolic Shadow Memory. Bernd Fischer, Salvatore La Torre, Gennaro Parlato, Peter Schrammel |
| 2022 | Call Graph Evolution Analytics over a Version Series of an Evolving Software System. Animesh Chaturvedi |
| 2022 | Call Me Maybe: Using NLP to Automatically Generate Unit Test Cases Respecting Temporal Constraints. Arianna Blasi, Alessandra Gorla, Michael D. Ernst, Mauro Pezzè |
| 2022 | Checking LTL Satisfiability via End-to-end Learning. Weilin Luo, Hai Wan, Delong Zhang, Jianfeng Du, Hengdi Su |
| 2022 | Code Understanding Linter to Detect Variable Misuse. Yeonhee Ryou, Sangwoo Joh, Joonmo Yang, Sujin Kim, Youil Kim |
| 2022 | CoditT5: Pretraining for Source Code and Natural Language Editing. Jiyang Zhang, Sheena Panthaplackel, Pengyu Nie, Junyi Jessy Li, Milos Gligoric |
| 2022 | Compiler Testing using Template Java Programs. Zhiqiang Zang, Nathan Wiatrek, Milos Gligoric, August Shi |
| 2022 | Compressing Pre-trained Models of Code into 3 MB. Jieke Shi, Zhou Yang, Bowen Xu, Hong Jin Kang, David Lo |
| 2022 | Consistent Scene Graph Generation by Constraint Optimization. Boqi Chen, Kristóf Marussy, Sebastian Pilarski, Oszkár Semeráth, Dániel Varró |
| 2022 | Constructing a System Knowledge Graph of User Tasks and Failures from Bug Reports to Support Soap Opera Testing. Yanqi Su, Zheming Han, Zhenchang Xing, Xin Xia, Xiwei Xu, Liming Zhu, Qinghua Lu |
| 2022 | Cornucopia : A Framework for Feedback Guided Generation of Binaries. Vidush Singhal, Akul Abhilash Pillai, Charitha Saumya, Milind Kulkarni, Aravind Machiry |
| 2022 | Coverage-based Greybox Fuzzing with Pointer Monitoring for C Programs. Haibo Chen, Jinfu Chen |
| 2022 | CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code. Aryaz Eghbali, Michael Pradel |
| 2022 | Dancing, not Wrestling: Moving from Compliance to Concordance for Secure Software Development. Debi Ashenden, Gail Ollis, Iain Reid |
| 2022 | Data Augmentation for Improving Emotion Recognition in Software Engineering Communication. Mia Mohammad Imran, Yashasvi Jain, Preetha Chatterjee, Kostadin Damevski |
| 2022 | Data Leakage in Notebooks: Static Detection and Better Processes. Chenyang Yang, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner |
| 2022 | DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks. Simin Chen, Mirazul Haque, Cong Liu, Wei Yang |
| 2022 | Design-Space Exploration for Decision-Support Software. Ate Penders, Ana Lucia Varbanescu, Gregor Pavlin, Henk J. Sips |
| 2022 | Detecting Blocking Errors in Go Programs using Localized Abstract Interpretation. Oskar Haarklou Veileborg, Georgian-Vlad Saioc, Anders Møller |
| 2022 | Detecting Build Conflicts in Software Merge for Java Programs via Static Analysis. Sheikh Shadab Towqir, Bowen Shen, Muhammad Ali Gulzar, Na Meng |
| 2022 | Detecting Inconsistencies in If-Condition-Raise Statements. Islem Bouzenia |
| 2022 | Detecting Semantic Code Clones by Building AST-based Markov Chains Model. Yueming Wu, Siyue Feng, Deqing Zou, Hai Jin |
| 2022 | Differentially Testing Database Transactions for Fun and Profit. Ziyu Cui, Wensheng Dou, Qianwang Dai, Jiansen Song, Wei Wang, Jun Wei, Dan Ye |
| 2022 | Do Regional Variations Affect the CAPTCHA User Experience? A Comparison of CAPTCHAs in China and the United States. Xinyao Ma, Zaiqiao Ye, Sameer Patil |
| 2022 | DyTRec: A Dynamic Testing Recommendation tool for Unity-based Virtual Reality Software. Xue Qin, Foyzul Hassan |
| 2022 | E-MANAFA: Energy Monitoring and ANAlysis tool For Android. Rui Rua, João Saraiva |
| 2022 | ESAVE: Estimating Server and Virtual Machine Energy. Priyavanshi Pathania, Rohit Mehra, Vibhu Saujanya Sharma, Vikrant Kaulgud, Sanjay Podder, Adam P. Burden |
| 2022 | Effectively Generating Vulnerable Transaction Sequences in Smart Contracts with Reinforcement Learning-guided Fuzzing. Jianzhong Su, Hong-Ning Dai, Lingjun Zhao, Zibin Zheng, Xiapu Luo |
| 2022 | Efficient Greybox Fuzzing to Detect Memory Errors. Jinsheng Ba, Gregory J. Duck, Abhik Roychoudhury |
| 2022 | Efficient Synthesis of Method Call Sequences for Test Generation and Bounded Verification. Yunfan Zhang, Ruidong Zhu, Yingfei Xiong, Tao Xie |
| 2022 | ElecDaug: Electromagnetic Data Augmentation for Model Repair based on Metamorphic Relation. Jiawei He, Zhida Bao, Quanjun Zhang, Weisong Sun, Jiawei Liu, Chunrong Fang, Yun Lin |
| 2022 | Empirical Study of System Resources Abused by IoT Attackers. Zijing Yin, Yiwen Xu, Chijin Zhou, Yu Jiang |
| 2022 | End-to-End Rationale Reconstruction. Mouna Dhaouadi, Bentley Oakes, Michalis Famelis |
| 2022 | Enhancing the security of gaming transactions using blockchain technology. Ciprian Paduraru, Rares Cristea, Alin Stefanescu |
| 2022 | Enriching Compiler Testing with Real Program from Bug Report. Hao Zhong |
| 2022 | Evolving Ranking-Based Failure Proximities for Better Clustering in Fault Isolation. Yi Song, Xiaoyuan Xie, Xihao Zhang, Quanming Liu, Ruizhi Gao |
| 2022 | Execution Path Detection through Dynamic Analysis in Black-Box Testing Environments. Frank Dixon Whitworth |
| 2022 | Explaining the Behaviour of Game Agents Using Differential Comparison. Ezequiel Castellano, Xiao-Yi Zhang, Paolo Arcaini, Toru Takisaka, Fuyuki Ishikawa, Nozomu Ikehata, Kosuke Iwakura |
| 2022 | Exploiting Epochs and Symmetries in Analysing MPI Programs. Rishabh Ranjan, Ishita Agrawal, Subodh Sharma |
| 2022 | Extraction and Management of Rationale. Mouna Dhaouadi |
| 2022 | Fastbot2: Reusable Automated Model-based GUI Testing for Android Enhanced by Reinforcement Learning. Zhengwei Lv, Chao Peng, Zhao Zhang, Ting Su, Kai Liu, Ping Yang |
| 2022 | Few-shot training LLMs for project-specific code-summarization. Toufique Ahmed, Premkumar T. Devanbu |
| 2022 | Finding Property Violations through Network Falsification: Challenges, Adaptations and Lessons Learned from OpenPilot. Meriel von Stein, Sebastian G. Elbaum |
| 2022 | Finding and Understanding Incompleteness Bugs in SMT Solvers. Mauro Bringolf, Dominik Winterer, Zhendong Su |
| 2022 | FlexType: A Plug-and-Play Framework for Type Inference Models. Sivani Voruganti, Kevin Jesse, Premkumar T. Devanbu |
| 2022 | FuzzerAid: Grouping Fuzzed Crashes Based On Fault Signatures. Ashwin Kallingal Joshy, Wei Le |
| 2022 | Fuzzle: Making a Puzzle for Fuzzers. Haeun Lee, Soomin Kim, Sang Kil Cha |
| 2022 | GLITCH: Automated Polyglot Security Smell Detection in Infrastructure as Code. Nuno Saavedra, João F. Ferreira |
| 2022 | Generalizability of Code Clone Detection on CodeBERT. Tim Sonnekalb, Bernd Gruner, Clemens-Alexander Brust, Patrick Mäder |
| 2022 | Generating Critical Test Scenarios for Autonomous Driving Systems via Influential Behavior Patterns. Haoxiang Tian, Guoquan Wu, Jiren Yan, Yan Jiang, Jun Wei, Wei Chen, Shuo Li, Dan Ye |
| 2022 | Global Decision Making Over Deep Variability in Feedback-Driven Software Development. Jörg Kienzle, Benoît Combemale, Gunter Mussbacher, Omar Alam, Francis Bordeleau, Lola Burgueño, Gregor Engels, Jessie Galasso, Jean-Marc Jézéquel, Bettina Kemme, Sébastien Mosser, Houari A. Sahraoui, Maximilian Schiedermeier, Eugene Syriani |
| 2022 | Graph based Incident Extraction and Diagnosis in Large-Scale Online Systems. Zilong He, Pengfei Chen, Yu Luo, Qiuyu Yan, Hongyang Chen, Guangba Yu, Fangyuan Li |
| 2022 | Griffin : Grammar-Free DBMS Fuzzing. Jingzhou Fu, Jie Liang, Zhiyong Wu, Mingzhe Wang, Yu Jiang |
| 2022 | Groundhog: An Automated Accessibility Crawler for Mobile Apps. Navid Salehnamadi, Forough Mehralian, Sam Malek |
| 2022 | HTFuzz: Heap Operation Sequence Sensitive Fuzzing. Yuanping Yu, Xiangkun Jia, Yuwei Liu, Yanhao Wang, Qian Sang, Chao Zhang, Purui Su |
| 2022 | Has My Release Disobeyed Semantic Versioning? Static Detection Based on Semantic Differencing. Lyuye Zhang, Chengwei Liu, Zhengzi Xu, Sen Chen, Lingling Fan, Bihuan Chen, Yang Liu |
| 2022 | Horntinuum: Autonomous Testing using Constrained Horn Clauses. Ilia Zlatkin, Grigory Fedyukovich |
| 2022 | How Readable is Model-generated Code? Examining Readability and Visual Inspection of GitHub Copilot. Naser Al Madi |
| 2022 | How Useful is Code Change Information for Fault Localization in Continuous Integration? An Ran Chen, Tse-Hsun (Peter) Chen, Junjie Chen |
| 2022 | How students choose names: A replication study. Qing Mi, Xiaoke Wang, Bingnuo Chen |
| 2022 | HyperAST: Enabling Efficient Analysis of Software Histories at Scale. Quentin Le Dilavrec, Djamel Eddine Khelladi, Arnaud Blouin, Jean-Marc Jézéquel |
| 2022 | ICEBAR: Feedback-Driven Iterative Repair of Alloy Specifications. Simón Gutiérrez Brida, Germán Regis, Guolong Zheng, Hamid Bagheri, ThanhVu Nguyen, Nazareno Aguirre, Marcelo F. Frias |
| 2022 | Identification and Mitigation of Gender Biases to Promote Diversity and Inclusion among Open Source Communities. Sayma Sultana |
| 2022 | Identification and Mitigation of Toxic Communications Among Open Source Software Developers. Jaydeb Sarker |
| 2022 | Identifying Sexism and Misogyny in Pull Request Comments. Sayma Sultana |
| 2022 | Identifying Solidity Smart Contract API Documentation Errors. Chenguang Zhu, Ye Liu, Xiuheng Wu, Yi Li |
| 2022 | Inline Tests. Yu Liu, Pengyu Nie, Owolabi Legunsen, Milos Gligoric |
| 2022 | Insight: Exploring Cross-Ecosystem Vulnerability Impacts. Meiqiu Xu, Ying Wang, Shing-Chi Cheung, Hai Yu, Zhiliang Zhu |
| 2022 | Intelligent Code Review Assignment for Large Scale Open Source Software Stacks. Ishan Aryendu, Ying Wang, Farah Elkourdi, Eman Abdullah AlOmar |
| 2022 | InvCon: A Dynamic Invariant Detector for Ethereum Smart Contracts. Ye Liu, Yi Li |
| 2022 | Is this Change the Answer to that Problem?: Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness. Haoye Tian, Xunzhu Tang, Andrew Habib, Shangwen Wang, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé |
| 2022 | Jasmine: A Static Analysis Framework for Spring Core Technologies. Miao Chen, Tengfei Tu, Hua Zhang, Qiaoyan Wen, Weihang Wang |
| 2022 | Keeping Secrets: Multi-objective Genetic Improvement for Detecting and Reducing Information Leakage. Ibrahim Mesecan, Daniel Blackwell, David Clark, Myra B. Cohen, Justyna Petke |
| 2022 | LISSA: Lazy Initialization with Specialized Solver Aid. Juan Manuel Copia, Pablo Ponzio, Nazareno Aguirre, Alessandra Gorla, Marcelo F. Frias |
| 2022 | LawBreaker: An Approach for Specifying Traffic Laws and Fuzzing Autonomous Vehicles. Yang Sun, Christopher M. Poskitt, Jun Sun, Yuqi Chen, Zijiang Yang |
| 2022 | Learning Contract Invariants Using Reinforcement Learning. Junrui Liu, Yanju Chen, Bryan Tan, Isil Dillig, Yu Feng |
| 2022 | Learning to Construct Better Mutation Faults. Zhao Tian, Junjie Chen, Qihao Zhu, Junjie Yang, Lingming Zhang |
| 2022 | Learning to Synthesize Relational Invariants. Jingbo Wang, Chao Wang |
| 2022 | Leveraging Artificial Intelligence on Binary Code Comprehension. Yifan Zhang |
| 2022 | Leveraging Practitioners' Feedback to Improve a Security Linter. Sofia Reis, Rui Abreu, Marcelo d'Amorim, Daniel Fortunato |
| 2022 | LiveRef: a Tool for Live Refactoring Java Code. Sara Fernandes, Ademar Aguiar, André Restivo |
| 2022 | Low-Resources Project-Specific Code Summarization. Rui Xie, Tianxiang Hu, Wei Ye, Shikun Zhang |
| 2022 | MCDA Framework for Edge-Aware Multi-Cloud Hybrid Architecture Recommendation. Manish Ahuja, Sukhavasi Narendranath, Swapnajeet Gon Choudhury, Kaushik Amar Das, Kapil Singi, Kuntal Dey, Vikrant Kaulgud |
| 2022 | MV-HAN: A Hybrid Attentive Networks based Multi-View Learning Model for Large-scale Contents Recommendation. Ge Fan, Chaoyun Zhang, Kai Wang, Junyang Chen |
| 2022 | Maktub: Lightweight Robot System Test Creation and Automation. Amr Moussa, John-Paul Ore |
| 2022 | MalWhiteout: Reducing Label Errors in Android Malware Detection. Liu Wang, Haoyu Wang, Xiapu Luo, Yulei Sui |
| 2022 | Mining Android API Usage to Generate Unit Test Cases for Pinpointing Compatibility Issues. Xiaoyu Sun, Xiao Chen, Yanjie Zhao, Pei Liu, John Grundy, Li Li |
| 2022 | Morest: Industry Practice of Automatic RESTful API Testing. Yi Liu, Yuekang Li, Yang Liu, Ruiyuan Wan, Runchao Wu, Qingkun Liu |
| 2022 | Multi-objective Optimization-based Bug-fixing Template Mining for Automated Program Repair. Misoo Kim, Youngkyoung Kim, Kicheol Kim, Eunseok Lee |
| 2022 | Namesake: A Checker of Lexical Similarity in Identifier Names. Naser Al Madi |
| 2022 | Natural Test Generation for Precise Testing of Question Answering Software. Qingchao Shen, Junjie Chen, Jie M. Zhang, Haoyu Wang, Shuang Liu, Menghan Tian |
| 2022 | Neuroevolution-Based Generation of Tests and Oracles for Games. Patric Feldmeier, Gordon Fraser |
| 2022 | Next Syntactic-Unit Code Completion and Applications. Anh Tuan Nguyen, Aashish Yadavally, Tien N. Nguyen |
| 2022 | Not All Dependencies are Equal: An Empirical Study on Production Dependencies in NPM. Jasmine Latendresse, Suhaib Mujahid, Diego Elias Costa, Emad Shihab |
| 2022 | On the Naturalness of Bytecode Instructions. Yoon-Ho Choi, Jaechang Nam |
| 2022 | Outcome-Preserving Input Reduction for Scientific Data Analysis Workflows. Anh Duc Vu, Timo Kehrer, Christos Tsigkanos |
| 2022 | PRCBERT: Prompt Learning for Requirement Classification using BERT-based Pretrained Language Models. Xianchang Luo, Yinxing Xue, Zhenchang Xing, Jiamou Sun |
| 2022 | Patching Weak Convolutional Neural Network Models through Modularization and Composition. Binhang Qi, Hailong Sun, Xiang Gao, Hongyu Zhang |
| 2022 | Precise (Un)Affected Version Analysis for Web Vulnerabilities. Youkun Shi, Yuan Zhang, Tianhan Luo, Xiangyu Mao, Min Yang |
| 2022 | PredART: Towards Automatic Oracle Prediction of Object Placements in Augmented Reality Testing. Tahmid Rafi, Xueling Zhang, Xiaoyin Wang |
| 2022 | Principled Composition of Function Variants for Dynamic Software Diversity and Program Protection. Giacomo Priamo, Daniele Cono D'Elia, Leonardo Querzoni |
| 2022 | Prioritized Constraint-Aided Dynamic Partial-Order Reduction. Jie Su, Cong Tian, Zuchao Yang, Jiyu Yang, Bin Yu, Zhenhua Duan |
| 2022 | Privacy Analysis of Period Tracking Mobile Apps in the Post-Roe v. Wade Era. Zikan Dong, Liu Wang, Hao Xie, Guoai Xu, Haoyu Wang |
| 2022 | Prompt-tuned Code Language Model as a Neural Knowledge Base for Type Inference in Statically-Typed Partial Code. Qing Huang, Zhiqiang Yuan, Zhenchang Xing, Xiwei Xu, Liming Zhu, Qinghua Lu |
| 2022 | Property-Based Automated Repair of DeFi Protocols. Palina Tolmach, Yi Li, Shang-Wei Lin |
| 2022 | Prototyping Deep Learning Applications with Non-Experts: An Assistant Proposition. Gustavo Rodrigues dos Reis, Adrian Mos, Mario Cortes Cornax, Cyril Labbé |
| 2022 | Provably Tightest Linear Approximation for Robustness Verification of Sigmoid-like Neural Networks. Zhaodi Zhang, Yiting Wu, Si Liu, Jing Liu, Min Zhang |
| 2022 | QATest: A Uniform Fuzzing Framework for Question Answering Systems. Zixi Liu, Yang Feng, Yining Yin, Jingyu Sun, Zhenyu Chen, Baowen Xu |
| 2022 | QVIP: An ILP-based Formal Verification Approach for Quantized Neural Networks. Yedi Zhang, Zhe Zhao, Guangke Chen, Fu Song, Min Zhang, Taolue Chen, Jun Sun |
| 2022 | Quacky: Quantitative Access Control Permissiveness Analyzer✱. William Eiers, Ganesh Sankaran, Albert Li, Emily O'Mahony, Benjamin Prince, Tevfik Bultan |
| 2022 | RESTCluster: Automated Crash Clustering for RESTful API. Yi Liu |
| 2022 | Rank Learning-Based Code Readability Assessment with Siamese Neural Networks. Qing Mi |
| 2022 | Reentrancy Vulnerability Detection and Localization: A Deep Learning Based Two-phase Approach. Zhuo Zhang, Yan Lei, Meng Yan, Yue Yu, Jiachi Chen, Shangwen Wang, Xiaoguang Mao |
| 2022 | Reflecting on Recurring Failures in IoT Development. Dharun Anandayuvaraj, James C. Davis |
| 2022 | Repairing Failure-inducing Inputs with Input Reflection. Yan Xiao, Yun Lin, Ivan Beschastnikh, Changsheng Sun, David S. Rosenblum, Jin Song Dong |
| 2022 | Research on Test Flakiness: from Unit to System Testing. Kiet Ngo, Vu Nguyen, Tien N. Nguyen |
| 2022 | Right to Know, Right to Refuse: Towards UI Perception-Based Automated Fine-Grained Permission Controls for Android Apps. Vikas Kumar Malviya, Chee Wei Leow, Ashok Kasthuri, Yan Naing Tun, Lwin Khin Shar, Lingxiao Jiang |
| 2022 | RoboSimVer: A Tool for RoboSim Modeling and Analysis. Dehui Du, Ana Cavalcanti, Jihui Nie |
| 2022 | Robust Learning of Deep Predictive Models from Noisy and Imbalanced Software Engineering Datasets. Zhong Li, Minxue Pan, Yu Pei, Tian Zhang, Linzhang Wang, Xuandong Li |
| 2022 | SA4U: Practical Static Analysis for Unit Type Error Detection. Max Taylor, Johnathon Aurand, Feng Qin, Xiaorui Wang, Brandon Henry, Xiangyu Zhang |
| 2022 | SAFA: A Tool for Supporting Safety Analysis in Evolving Software Systems. Alberto D. Rodriguez, Timothy Newman, Katherine R. Dearstyne, Jane Cleland-Huang |
| 2022 | SML4ADS: An Open DSML for Autonomous Driving Scenario Representation and Generation. Bo Li, Dehui Du, Sicong Chen, Minjun Wei, Chenghang Zheng, Xinyuan Zhang |
| 2022 | Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment. Jie Zhu, Leye Wang, Xiao Han |
| 2022 | Scalable Sampling of Highly-Configurable Systems: Generating Random Instances of the Linux Kernel. David Fernández-Amorós, Ruben Heradio, Christoph Mayr-Dorn, Alexander Egyed |
| 2022 | Scaling Arbitrary Android App Analyses. Felix Pauck |
| 2022 | Scrutinizing Privacy Policy Compliance of Virtual Personal Assistant Apps. Fuman Xie, Yanjun Zhang, Chuan Yan, Suwan Li, Lei Bu, Kai Chen, Zi Huang, Guangdong Bai |
| 2022 | Selectively Combining Multiple Coverage Goals in Search-Based Unit Test Generation. Zhichao Zhou, Yuming Zhou, Chunrong Fang, Zhenyu Chen, Yutian Tang |
| 2022 | SelfAPR: Self-supervised Program Repair with Test Execution Diagnostics. He Ye, Matias Martinez, Xiapu Luo, Tao Zhang, Martin Monperrus |
| 2022 | Shibboleth: Hybrid Patch Correctness Assessment in Automated Program Repair. Ali Ghanbari, Andrian Marcus |
| 2022 | Simulating cyber security management: A gamified approach to executive decision making. Adam Tonkin, William Kosasih, Marthie Grobler, Mehwish Nasim |
| 2022 | SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design. Houssem Ben Braiek, Ali Tfaily, Foutse Khomh, Thomas Reid, Ciro Guida |
| 2022 | Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics. Nicholas M. Synovic, Matt Hyatt, Rohan Sethi, Sohini Thota, Shilpika, Allan J. Miller, Wenxin Jiang, Emmanuel S. Amobi, Austin Pinderski, Konstantin Läufer, Nicholas J. Hayward, Neil Klingensmith, James C. Davis, George K. Thiruvathukal |
| 2022 | So Many Fuzzers, So Little Time✱: Experience from Evaluating Fuzzers on the Contiki-NG Network (Hay)Stack. Clement Poncelet, Konstantinos Sagonas, Nicolas Tsiftes |
| 2022 | Software Evolution Management with Differential Facts. Xiuheng Wu |
| 2022 | Sorry, I don't Understand: Improving Voice User Interface Testing. Emanuela Guglielmi, Giovanni Rosa, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto |
| 2022 | StandUp4NPR: Standardizing SetUp for Empirically Comparing Neural Program Repair Systems. Wenkang Zhong, Hongliang Ge, Hongfei Ai, Chuanyi Li, Kui Liu, Jidong Ge, Bin Luo |
| 2022 | Static Type Recommendation for Python. Ke Sun, Yifan Zhao, Dan Hao, Lu Zhang |
| 2022 | Studying and Understanding the Tradeoffs Between Generality and Reduction in Software Debloating. Qi Xin, Qirun Zhang, Alessandro Orso |
| 2022 | SymFusion: Hybrid Instrumentation for Concolic Execution. Emilio Coppa, Heng Yin, Camil Demetrescu |
| 2022 | Taming Multi-Output Recommenders for Software Engineering. Christoph Treude |
| 2022 | Test-Driven Multi-Task Learning with Functionally Equivalent Code Transformation for Neural Code Generation. Xin Wang, Xiao Liu, Pingyi Zhou, Qixia Liu, Jin Liu, Hao Wu, Xiaohui Cui |
| 2022 | The Metamorphosis: Automatic Detection of Scaling Issues for Mobile Apps. Yuhui Su, Chunyang Chen, Junjie Wang, Zhe Liu, Dandan Wang, Shoubin Li, Qing Wang |
| 2022 | ThirdEye: Attention Maps for Safe Autonomous Driving Systems. Andrea Stocco, Paulo J. Nunes, Marcelo d'Amorim, Paolo Tonella |
| 2022 | Too Much Accessibility is Harmful! Automated Detection and Analysis of Overly Accessible Elements in Mobile Apps. Forough Mehralian, Navid Salehnamadi, Syed Fatiul Huq, Sam Malek |
| 2022 | Toward Improving the Robustness of Deep Learning Models via Model Transformation. Yingyi Zhang, Zan Wang, Jiajun Jiang, Hanmo You, Junjie Chen |
| 2022 | Towards Agent-Based Testing of 3D Games using Reinforcement Learning. Raihana Ferdous, Fitsum Meshesha Kifetew, Davide Prandi, Angelo Susi |
| 2022 | Towards Effective Static Analysis Approaches for Security Vulnerabilities in Smart Contracts. Asem Ghaleb |
| 2022 | Towards Generating Labeled Property Graphs for Comprehending C#-based Software Projects. David Heidrich, Andreas Schreiber, Sebastian Oberdörfer |
| 2022 | Towards Gradual Multiparty Session Typing. Sung-Shik Jongmans |
| 2022 | Towards Improving Code Review Effectiveness Through Task Automation. Asif Kamal Turzo |
| 2022 | Towards Improving the Adoption and Usage of National Digital Identity Systems. Malyun Muhudin Hilowle, William Yeoh, Marthie Grobler, Graeme Pye, Frank Jiang |
| 2022 | Towards Robust Models of Code via Energy-Based Learning on Auxiliary Datasets. Nghi D. Q. Bui, Yijun Yu |
| 2022 | Towards Understanding Third-party Library Dependency in C/C++ Ecosystem. Wei Tang, Zhengzi Xu, Chengwei Liu, Jiahui Wu, Shouguo Yang, Yi Li, Ping Luo, Yang Liu |
| 2022 | Towards Understanding the Faults of JavaScript-Based Deep Learning Systems. Lili Quan, Qianyu Guo, Xiaofei Xie, Sen Chen, Xiaohong Li, Yang Liu |
| 2022 | Towards Understanding the Runtime Performance of Rust. Yuchen Zhang, Yunhang Zhang, Georgios Portokalidis, Jun Xu |
| 2022 | Towards Using Data-Influence Methods to Detect Noisy Samples in Source Code Corpora. Anh T. V. Dau, Nghi D. Q. Bui, Thang Nguyen-Duc, Hoang Thanh-Tung |
| 2022 | Towards a Live Environment for Code Refactoring. Sara Fernandes |
| 2022 | Towards the Integration of Human Factors in Collaborative Decision Making for Secure Architecture Design. Jason Jaskolka, Brahim Hamid |
| 2022 | TransRepair: Context-aware Program Repair for Compilation Errors. Xueyang Li, Shangqing Liu, Ruitao Feng, Guozhu Meng, Xiaofei Xie, Kai Chen, Yang Liu |
| 2022 | Transfer learning of cars behaviors from reality to simulation applications. Ciprian Paduraru, Miruna Gabriela Paduraru, Andrei Blahovici |
| 2022 | TransplantFix: Graph Differencing-based Code Transplantation for Automated Program Repair. Deheng Yang, Xiaoguang Mao, Liqian Chen, Xuezheng Xu, Yan Lei, David Lo, Jiayu He |
| 2022 | TreeCen: Building Tree Graph for Scalable Semantic Code Clone Detection. Yutao Hu, Deqing Zou, Junru Peng, Yueming Wu, Junjie Shan, Hai Jin |
| 2022 | Trimmer: Context-Specific Code Reduction. Aatira Anum Ahmad, Mubashir Anwar, Hashim Sharif, Ashish Gehani, Fareed Zaffar |
| 2022 | Tseitin or not Tseitin? The Impact of CNF Transformations on Feature-Model Analyses. Elias Kuiter, Sebastian Krieter, Chico Sundermann, Thomas Thüm, Gunter Saake |
| 2022 | Understanding and Predicting Docker Build Duration: An Empirical Study of Containerized Workflow of OSS Projects. Yiwen Wu, Yang Zhang, Kele Xu, Tao Wang, Huaimin Wang |
| 2022 | Unsupervised Summarization of Privacy Concerns in Mobile Application Reviews. Fahimeh Ebrahimi, Anas Mahmoud |
| 2022 | Unveiling Hidden DNN Defects with Decision-Based Metamorphic Testing. Yuanyuan Yuan, Qi Pang, Shuai Wang |
| 2022 | Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery. Hui Gao, Hongyu Kuang, Kexin Sun, Xiaoxing Ma, Alexander Egyed, Patrick Mäder, Guoping Rong, Dong Shao, He Zhang |
| 2022 | V-Achilles: An Interactive Visualization of Transitive Security Vulnerabilities. Vipawan Jarukitpipat, Klinton Chhun, Wachirayana Wanprasert, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Thanwadee Sunetnanta, Raula Gaikovina Kula, Bodin Chinthanet, Takashi Ishio, Kenichi Matsumoto |
| 2022 | VITAS : Guided Model-based VUI Testing of VPA Apps. Suwan Li, Lei Bu, Guangdong Bai, Zhixiu Guo, Kai Chen, Hanlin Wei |
| 2022 | Verifying Game Logic in Unreal Engine 5 Blueprint Visual Scripting System Using Model Checking. Kazuki Wayama, Tomoyuki Yokogawa, Sousuke Amasaki, Hirohisa Aman, Kazutami Arimoto |
| 2022 | WebMonitor: Verification of Web User Interfaces. Ennio Visconti, Christos Tsigkanos, Laura Nenzi |
| 2022 | Which Exception Shall We Throw? Hao Zhong |
| 2022 | XSA: eXplainable Self-Adaptation. Matteo Camilli, Raffaela Mirandola, Patrizia Scandurra |
| 2022 | Xscope: Hunting for Cross-Chain Bridge Attacks. Jiashuo Zhang, Jianbo Gao, Yue Li, Ziming Chen, Zhi Guan, Zhong Chen |
| 2022 | ecoCode: a SonarQube Plugin to Remove Energy Smells from Android Projects. Olivier Le Goaër, Julien Hertout |
| 2022 | reformulator: Automated Refactoring of the N+1 Problem in Database-Backed Applications. Alexi Turcotte, Mark W. Aldrich, Frank Tip |
| 2022 | smartPip: A Smart Approach to Resolving Python Dependency Conflict Issues. Chao Wang, Rongxin Wu, Haohao Song, Jiwu Shu, Guoqing Li |