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Publication search results
found 945 matches
- 2024
- Hichem Belgacem, Xiaochen Li, Domenico Bianculli, Lionel C. Briand:
Learning-based Relaxation of Completeness Requirements for Data Entry Forms. ACM Trans. Softw. Eng. Methodol. 33(3): 77:1-77:32 (2024) - Narjes Bessghaier, Mohammed Sayagh, Ali Ouni, Mohamed Wiem Mkaouer:
What Constitutes the Deployment and Runtime Configuration System? An Empirical Study on OpenStack Projects. ACM Trans. Softw. Eng. Methodol. 33(1): 5:1-5:37 (2024) - Matteo Biagiola, Paolo Tonella:
Testing of Deep Reinforcement Learning Agents with Surrogate Models. ACM Trans. Softw. Eng. Methodol. 33(3): 73:1-73:33 (2024) - Chidera Biringa, Gökhan Kul:
PACE: A Program Analysis Framework for Continuous Performance Prediction. ACM Trans. Softw. Eng. Methodol. 33(4): 85:1-85:23 (2024) - Pablo C. Cañizares, Jose María López-Morales, Sara Pérez-Soler, Esther Guerra, Juan de Lara:
Measuring and Clustering Heterogeneous Chatbot Designs. ACM Trans. Softw. Eng. Methodol. 33(4): 90:1-90:43 (2024) - Sicong Cao, Xiaobing Sun, Lili Bo, Rongxin Wu, Bin Li, Xiaoxue Wu, Chuanqi Tao, Tao Zhang, Wei Liu:
Learning to Detect Memory-related Vulnerabilities. ACM Trans. Softw. Eng. Methodol. 33(2): 43:1-43:35 (2024) - Johan Cederbladh, Antonio Cicchetti, Jagadish Suryadevara:
Early Validation and Verification of System Behaviour in Model-based Systems Engineering: A Systematic Literature Review. ACM Trans. Softw. Eng. Methodol. 33(3): 81:1-81:67 (2024) - Zhe Chen, Rui Yan, Yingzi Ma, Yulei Sui, Jingling Xue:
A Smart Status Based Monitoring Algorithm for the Dynamic Analysis of Memory Safety. ACM Trans. Softw. Eng. Methodol. 33(4): 89:1-89:47 (2024) - Shaiful Alam Chowdhury, Gias Uddin, Hadi Hemmati, Reid Holmes:
Method-level Bug Prediction: Problems and Promises. ACM Trans. Softw. Eng. Methodol. 33(4): 98:1-98:31 (2024) - Andrew G. Clark, Michael Foster, Benedikt Prifling, Neil Walkinshaw, Robert M. Hierons, Volker Schmidt, Robert D. Turner:
Testing Causality in Scientific Modelling Software. ACM Trans. Softw. Eng. Methodol. 33(1): 10:1-10:42 (2024) - Donato Clun, Donghwan Shin, Antonio Filieri, Domenico Bianculli:
Rigorous Assessment of Model Inference Accuracy using Language Cardinality. ACM Trans. Softw. Eng. Methodol. 33(4): 95:1-95:39 (2024) - Xueqi Dang, Yinghua Li, Mike Papadakis, Jacques Klein, Tegawendé F. Bissyandé, Yves Le Traon:
GraphPrior: Mutation-based Test Input Prioritization for Graph Neural Networks. ACM Trans. Softw. Eng. Methodol. 33(1): 22:1-22:40 (2024) - Zishuo Ding, Yiming Tang, Xiaoyu Cheng, Heng Li, Weiyi Shang:
LoGenText-Plus: Improving Neural Machine Translation Based Logging Texts Generation with Syntactic Templates. ACM Trans. Softw. Eng. Methodol. 33(2): 38:1-38:45 (2024) - Rafael Dutra, Rahul Gopinath, Andreas Zeller:
FormatFuzzer: Effective Fuzzing of Binary File Formats. ACM Trans. Softw. Eng. Methodol. 33(2): 53:1-53:29 (2024) - Sina Entekhabi, Wojciech Mostowski, Mohammad Reza Mousavi:
Automated and Efficient Test-Generation for Grid-Based Multiagent Systems: Comparing Random Input Filtering versus Constraint Solving. ACM Trans. Softw. Eng. Methodol. 33(1): 12:1-12:32 (2024) - Wang Fang, Mingsheng Ying, Xiaodi Wu:
Differentiable Quantum Programming with Unbounded Loops. ACM Trans. Softw. Eng. Methodol. 33(1): 19:1-19:63 (2024) - Alessio Ferrari, Thaide Huichapa, Paola Spoletini, Nicole Novielli, Davide Fucci, Daniela Girardi:
Using Voice and Biofeedback to Predict User Engagement during Product Feedback Interviews. ACM Trans. Softw. Eng. Methodol. 33(4): 87:1-87:36 (2024) - Federico Formica, Tony Fan, Claudio Menghi:
Search-Based Software Testing Driven by Automatically Generated and Manually Defined Fitness Functions. ACM Trans. Softw. Eng. Methodol. 33(2): 40:1-40:37 (2024) - Michael Fu, Van Nguyen, Chakkrit Tantithamthavorn, Dinh Phung, Trung Le:
Vision Transformer Inspired Automated Vulnerability Repair. ACM Trans. Softw. Eng. Methodol. 33(3): 78:1-78:29 (2024) - Carlo A. Furia, Richard Torkar, Robert Feldt:
Towards Causal Analysis of Empirical Software Engineering Data: The Impact of Programming Languages on Coding Competitions. ACM Trans. Softw. Eng. Methodol. 33(1): 13:1-13:35 (2024) - Kai Gao, Runzhi He, Bing Xie, Minghui Zhou:
Characterizing Deep Learning Package Supply Chains in PyPI: Domains, Clusters, and Disengagement. ACM Trans. Softw. Eng. Methodol. 33(4): 97:1-97:27 (2024) - Pengfei Gao, Fu Song, Taolue Chen:
Compositional Verification of First-Order Masking Countermeasures against Power Side-Channel Attacks. ACM Trans. Softw. Eng. Methodol. 33(3): 79:1-79:38 (2024) - Luca Giamattei, Antonio Guerriero, Roberto Pietrantuono, Stefano Russo:
Causality-driven Testing of Autonomous Driving Systems. ACM Trans. Softw. Eng. Methodol. 33(3): 74:1-74:35 (2024) - Amid Golmohammadi, Man Zhang, Andrea Arcuri:
Testing RESTful APIs: A Survey. ACM Trans. Softw. Eng. Methodol. 33(1): 27:1-27:41 (2024) - Hashini Gunatilake, John C. Grundy, Rashina Hoda, Ingo Mueller:
Enablers and Barriers of Empathy in Software Developer and User Interactions: A Mixed Methods Case Study. ACM Trans. Softw. Eng. Methodol. 33(4): 109:1-109:41 (2024) - Hanyang Guo, Yingye Chen, Xiangping Chen, Yuan Huang, Zibin Zheng:
Smart Contract Code Repair Recommendation based on Reinforcement Learning and Multi-metric Optimization. ACM Trans. Softw. Eng. Methodol. 33(4): 106:1-106:31 (2024) - Hanyang Guo, Xiangping Chen, Yuan Huang, Yanlin Wang, Xi Ding, Zibin Zheng, Xiaocong Zhou, Hong-Ning Dai:
Snippet Comment Generation Based on Code Context Expansion. ACM Trans. Softw. Eng. Methodol. 33(1): 24:1-24:30 (2024) - Yuejun Guo, Qiang Hu, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Yves Le Traon:
KAPE: kNN-based Performance Testing for Deep Code Search. ACM Trans. Softw. Eng. Methodol. 33(2): 48:1-48:24 (2024) - Shikai Guo, Dongmin Li, Lin Huang, Sijia Lv, Rong Chen, Hui Li, Xiaochen Li, He Jiang:
Estimating Uncertainty in Labeled Changes by SZZ Tools on Just-In-Time Defect Prediction. ACM Trans. Softw. Eng. Methodol. 33(4): 105:1-105:25 (2024) - Junda He, Xin Zhou, Bowen Xu, Ting Zhang, Kisub Kim, Zhou Yang, Ferdian Thung, Ivana Clairine Irsan, David Lo:
Representation Learning for Stack Overflow Posts: How Far Are We? ACM Trans. Softw. Eng. Methodol. 33(3): 69:1-69:24 (2024)
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