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title: "ACM Transactions on Software Engineering and Methodology"
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# ACM Transactions on Software Engineering and Methodology 2023: all accepted papers

159 papers · page 2 of 2 · the most cited first · [← ACM Transactions on Software Engineering and Methodology 2023](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-software-engineering-and-methodology/2023/)

[← prev](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-software-engineering-and-methodology/2023/papers/) [1](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-software-engineering-and-methodology/2023/papers/) **2**

101. **[DatAFLow : Toward a Data-flow-guided Fuzzer ↗](https://doi.org/10.1145/3587159)**Adrian Herrera, Mathias Payer, Antony L. Hosking*10 citations*
102. **[Estimating Uncertainty in Labeled Changes by SZZ Tools on Just-In-Time Defect Prediction ↗](https://doi.org/10.1145/3637226)**Shikai Guo, Dongmin Li, Lin Huang et al.*10 citations*
103. **[Exploring the Impact of Code Clones on Deep Learning Software ↗](https://doi.org/10.1145/3607181)**Ran Mo, Yao Zhang, Yushuo Wang et al.*10 citations*
104. **[Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications ↗](https://doi.org/10.1145/3583564)**Yongqiang Tian, Wuqi Zhang, Ming Wen et al.*10 citations*
105. **[Horus : Accelerating Kernel Fuzzing through Efficient Host-VM Memory Access Procedures ↗](https://doi.org/10.1145/3611665)**Jianzhong Liu, Yuheng Shen, Yiru Xu et al.*10 citations*
106. **[IFDS-based Context Debloating for Object-Sensitive Pointer Analysis ↗](https://doi.org/10.1145/3579641)**Dongjie He, Jingbo Lu, Jingling Xue*10 citations*
107. **[Test Generation Strategies for Building Failure Models and Explaining Spurious Failures ↗](https://doi.org/10.1145/3638246)**Baharin A. Jodat, Abhishek Chandar, Shiva Nejati et al.*10 citations*
108. **[The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks ↗](https://doi.org/10.1145/3630009)**Jiho Shin, Moshi Wei, Junjie Wang et al.*10 citations*
109. **[Deceiving Humans and Machines Alike: Search-based Test Input Generation for DNNs Using Variational Autoencoders ↗](https://doi.org/10.1145/3635706)**Sungmin Kang, ROBERT H. FELDT, Shin Yoo*9 citations*
110. **[Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Health ↗](https://doi.org/10.1145/3630252)**Andre Lustosa, Tim Menzies*9 citations*
111. **[Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective ↗](https://doi.org/10.1145/3597204)**Xuanzhe Liu, Diandian Gu, Zhenpeng Chen et al.*9 citations*
112. **[A First Look at On-device Models in iOS Apps ↗](https://doi.org/10.1145/3617177)**Han Hu, Yujin Huang, Qiuyuan Chen et al.*8 citations*
113. **[An Interleaving Guided Metamorphic Testing Approach for Concurrent Programs ↗](https://doi.org/10.1145/3607182)**Chang‐ai Sun, Hepeng Dai, Ning Geng et al.*8 citations*
114. **[Beyond Accuracy: An Empirical Study on Unit Testing in Open-source Deep Learning Projects ↗](https://doi.org/10.1145/3638245)**Han Wang, Sijia Yu, Chunyang Chen et al.*8 citations*
115. **[Poracle: Testing Patches under Preservation Conditions to Combat the Overfitting Problem of Program Repair ↗](https://doi.org/10.1145/3625293)**Elkhan Ismayilzada, Md Mazba Ur Rahman, Dongsun Kim et al.*8 citations*
116. **[Reusing Convolutional Neural Network Models through Modularization and Composition ↗](https://doi.org/10.1145/3632744)**Binhang Qi, Hailong Sun, Hongyu Zhang et al.*8 citations*
117. **[Stress Testing Control Loops in Cyber-physical Systems ↗](https://doi.org/10.1145/3624742)**Claudio Mandrioli, Seung Yeob Shin, Martina Maggio et al.*8 citations*
118. **[Toward Interpretable Graph Tensor Convolution Neural Network for Code Semantics Embedding ↗](https://doi.org/10.1145/3582574)**Jia Yang, Cai Fu, Fengyang Deng et al.*8 citations*
119. **[What Quality Aspects Influence the Adoption of Docker Images? ↗](https://doi.org/10.1145/3603111)**Giovanni Rosa, Simone Scalabrino, Gabriele Bavota et al.*8 citations*
120. **[Assessing the Early Bird Heuristic (for Predicting Project Quality) ↗](https://doi.org/10.1145/3583565)**N. C. Shrikanth, Tim Menzies*7 citations*
121. **[Automated Mapping of Adaptive App GUIs from Phones to TVs ↗](https://doi.org/10.1145/3631968)**Han Hu, Ruiqi Dong, John Grundy et al.*7 citations*
122. **[DeepPatch: Maintaining Deep Learning Model Programs to Retain Standard Accuracy with Substantial Robustness Improvement ↗](https://doi.org/10.1145/3604609)**Zhengyuan Wei, Haipeng Wang, Imran Ashraf et al.*7 citations*
123. **[Differentiable Quantum Programming with Unbounded Loops ↗](https://doi.org/10.1145/3617178)**Wang Sheng Fang, Mingsheng Ying, Xiaodi Wu*7 citations*
124. **[Optimization Techniques for Model Checking Leads-to Properties in a Stratified Way ↗](https://doi.org/10.1145/3604610)**Canh Minh Do, Yati Phyo, Adrián Riesco et al.*7 citations*
125. **[Pre-implementation Method Name Prediction for Object-oriented Programming ↗](https://doi.org/10.1145/3597203)**Shangwen Wang, Ming Wen, Bo Lin et al.*7 citations*
126. **[Testing Abstractions for Cyber-Physical Control Systems ↗](https://doi.org/10.1145/3617170)**Claudio Mandrioli, Max Nyberg Carlsson, Martina Maggio*7 citations*
127. **[UniLoc: Unified Fault Localization of Continuous Integration Failures ↗](https://doi.org/10.1145/3593799)**Foyzul Hassan, Na Meng, Xiaoyin Wang*7 citations*
128. **[Using Voice and Biofeedback to Predict User Engagement during Product Feedback Interviews ↗](https://doi.org/10.1145/3635712)**Alessio Ferrari, Thaide Huichapa, Paola Spoletini et al.*7 citations*
129. **[What Constitutes the Deployment and Runtime Configuration System? An Empirical Study on OpenStack Projects ↗](https://doi.org/10.1145/3607186)**Narjes Bessghaier, Mohammed Sayagh, Ali Ouni et al.*7 citations*
130. **[A Smart Status Based Monitoring Algorithm for the Dynamic Analysis of Memory Safety ↗](https://doi.org/10.1145/3637227)**Zhe Chen, Rui Yan, Yingzi Ma et al.*6 citations*
131. **[JavaScript SBST Heuristics to Enable Effective Fuzzing of NodeJS Web APIs ↗](https://doi.org/10.1145/3593801)**Man Zhang, Asma Belhadi, Andrea Arcuri*6 citations*
132. **[PACE: A Program Analysis Framework for Continuous Performance Prediction ↗](https://doi.org/10.1145/3637230)**Chidera Uzoma Biringa, Gökhan Kul*6 citations*
133. **[Predicting the Change Impact of Resolving Defects by Leveraging the Topics of Issue Reports in Open Source Software Systems ↗](https://doi.org/10.1145/3593802)**Maram Assi, Safwat Hassan, Stefanos Georgiou et al.*6 citations*
134. **[Probabilistic Safe WCET Estimation for Weakly Hard Real-time Systems at Design Stages ↗](https://doi.org/10.1145/3617176)**Jaekwon Lee, Seung Yeob Shin, Lionel Briand et al.*6 citations*
135. **[Algorithm Selection for Software Verification Using Graph Neural Networks ↗](https://doi.org/10.1145/3637225)**Will Leeson, Matthew B. Dwyer*5 citations*
136. **[LaF: Labeling-free Model Selection for Automated Deep Neural Network Reusing ↗](https://doi.org/10.1145/3611666)**Qiang Hu, Yuejun Guo, Xiaofei Xie et al.*5 citations*
137. **[Measurement of Embedding Choices on Cryptographic API Completion Tasks ↗](http://dx.doi.org/10.1145/3625291)**Ya Xiao, Wenjia Song, Salman Ahmed et al.*5 citations*
138. **[Understanding the Helpfulness of Stale Bot for Pull-Based Development: An Empirical Study of 20 Large Open-Source Projects ↗](https://doi.org/10.1145/3624739)**SayedHassan Khatoonabadi, Diego Elias Costa, Suhaib Mujahid et al.*5 citations*
139. **[A Post-training Framework for Improving the Performance of Deep Learning Models via Model Transformation ↗](https://doi.org/10.1145/3630011)**Jiajun Jiang, Junjie Yang, Yingyi Zhang et al.*4 citations*
140. **[Assessing Effectiveness of Test Suites: What Do We Know and What Should We Do? ↗](https://doi.org/10.1145/3635713)**Peng Zhang, Yang Wang, Xutong Liu et al.*4 citations*
141. **[Compositional Verification of First-Order Masking Countermeasures against Power Side-Channel Attacks ↗](https://doi.org/10.1145/3635707)**Pengfei Gao, Fu Song, Taolue Chen*4 citations*
142. **[FQN Inference in Partial Code by Prompt-tuned Language Model of Code ↗](https://doi.org/10.1145/3617174)**Qing Yun Huang, Zhiqiang Yuan, Zhenchang Xing et al.*4 citations*
143. **[Programming by Example Made Easy ↗](https://doi.org/10.1145/3607185)**Jiarong Wu, Lili Wei, Yanyan Jiang et al.*4 citations*
144. **[SEAL: Integrating Program Analysis and Repository Mining ↗](https://doi.org/10.1145/3585008)**Florian Sattler, Sebastian Böhm, Philipp Dominik Schubert et al.*4 citations*
145. **[EASE: An Effort-aware Extension of Unsupervised Key Class Identification Approaches ↗](https://doi.org/10.1145/3635714)**Weifeng Pan, Marouane Kessentini, Hua Ming et al.*3 citations*
146. **[Fuzzing Configurations of Program Options - RCR Report ↗](https://doi.org/10.1145/3580601)**Zenong Zhang, George Klees, Eric Wang et al.*3 citations*
147. **[Structured Theorem for Quantum Programs and its Applications ↗](https://doi.org/10.1145/3587154)**Nengkun Yu*3 citations*
148. **[TopicAns: Topic-informed Architecture for Answer Recommendation on Technical Q&A Site ↗](https://doi.org/10.1145/3607189)**Yuanhang Yang, Wei He, Cuiyun Gao et al.*3 citations*
149. **[A Hypothesis Testing-based Framework for Software Cross-modal Retrieval in Heterogeneous Semantic Spaces ↗](https://doi.org/10.1145/3591868)**Hongwei Wei, Xiaohong Su, Cuiyun Gao et al.*2 citations*
150. **[Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks ↗](https://doi.org/10.1145/3617593)**Michael A. Weiss, Paolo Tonella*2 citations*
151. **[Automated and Efficient Test-Generation for Grid-Based Multiagent Systems: Comparing Random Input Filtering versus Constraint Solving ↗](http://dx.doi.org/10.1145/3624736)**Sina Entekhabi, Wojciech Mostowski, Mohammad Reza Mousavi*2 citations*
152. **[Dissecting American Fuzzy Lop – A FuzzBench Evaluation - RCR Report ↗](https://doi.org/10.1145/3580600)**Andrea Fioraldi, Alessandro Mantovani, Dominik Maier et al.*2 citations*
153. **[Incorporating Signal Awareness in Source Code Modeling: An Application to Vulnerability Detection ↗](https://doi.org/10.1145/3597202)**Sahil Suneja, Yufan Zhuang, Yunhui Zheng et al.*2 citations*
154. **[KAPE: k NN-based Performance Testing for Deep Code Search ↗](https://doi.org/10.1145/3624735)**Yuejun Guo, Qiang Hu, Xiaofei Xie et al.*2 citations*
155. **[SourcererJBF: A Java Build Framework For Large-Scale Compilation ↗](https://doi.org/10.1145/3635710)**Md Rakib Hossain Misu, Rohan Achar, Cristina Videira Lopes*2 citations*
156. **[Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks - RCR Report ↗](https://doi.org/10.1145/3617594)**Michael A. Weiss, Paolo Tonella*1 citation*
157. **[EDITORIAL: Announcing Six TOSEM Issues Per Year ↗](https://doi.org/10.1145/3583569)**Mauro Pezzè*1 citation*
158. **[Learning-based Relaxation of Completeness Requirements for Data Entry Forms ↗](https://doi.org/10.1145/3635708)**Hichem Belgacem, Xiaochen Li, Domenico Bianculli et al.*1 citation*
159. **[Adonis : Practical and Efficient Control Flow Recovery through OS-level Traces ↗](https://doi.org/10.1145/3607187)**Xuanzhe Liu, Chengxu Yang, Ding Li et al.

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