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ORCIDAutomated Software Engineering, Volume 32
Volume 32, Number 1, June 2025
- Shiji Wang, Xiangfu Zhao:
Contractsentry: a static analysis tool for smart contract vulnerability detection. 1 - James Callan, Justyna Petke
:
Multi-objective improvement of Android applications. 2 - Kenneth H. Chan, Betty H. C. Cheng:
Evoattack: suppressive adversarial attacks against object detection models using evolutionary search. 3 - Andrea Arcuri, Man Zhang, Susruthan Seran, Juan Pablo Galeotti, Amid Golmohammadi, Onur Duman, Agustina Aldasoro, Hernan Ghianni:
Tool report: EvoMaster - black and white box search-based fuzzing for REST, GraphQL and RPC APIs. 4 - Alexander Poth, Olsi Rrjolli, Andrea Arcuri:
Technology adoption performance evaluation applied to testing industrial REST APIs. 5 - William B. Langdon, David Clark:
Deep imperative mutations have less impact. 6 - Dongjin Yu, Yihang Xu, Lehui Weng, Jie Chen, Xin Chen, Quanxin Yang:
Efficient feature envy detection and refactoring based on graph neural network. 7 - Arif Ali Khan, Muhammad Azeem Akbar, Valtteri Lahtinen, Marko Paavola, Mahmood Niazi, Mohammed Naif Alatawi, Shoayee Dlaim Alotaibi:
Correction: Agile meets quantum: a novel genetic algorithm model for predicting the success of quantum software development project. 8 - Taha Varol, Milad Elyasi, T. Huzeyfe Aktas, Okan Örsan Özener, Hasan Sözer:
Parallelization of genetic algorithms for software architecture recovery. 9 - Max-Arno Meyer, Mehdi Zouari, Sebastian Bannenberg, Markus Deppe, Sébastien Christiaens, Sung-Yong Lee, Jakob Andert:
Machine-readable specification and intelligent cloud-based execution of logical test cases for automated driving functions. 10 - Meetesh Nevendra, Pradeep Singh:
Meta network attention-based feature matching for heterogeneous defect prediction. 11 - Jiaze Sun, Zhiqiang Yin, Hengshan Zhang, Xiang Chen, Wei Zheng:
Adversarial generation method for smart contract fuzz testing seeds guided by chain-based LLM. 12 - Qirong Bu, Xiangqiang Guo, Xia Sun, Jingjing Jiang, Xiaodi Zhao, Wang Zou, Xuxin Wang, Jianqiang Yan:
Detecting question relatedness in programming Q&A communities via bimodal feature fusion. 13 - Xuehai Jia, Junwei Du, Minying Fang, Hao Liu, Yuying Li, Feng Jiang:
Vulnerability detection with graph enhancement and global dependency representation learning. 14 - Alexander E. I. Brownlee, James Callan, Karine Even-Mendoza, Alina Geiger, Carol Hanna, Justyna Petke, Federica Sarro, Dominik Sobania:
Large language model based mutations in genetic improvement. 15 - Gong Chen, Wenjie Liu, Xiaoyuan Xie:
RFMC-CS: a representation fusion based multi-view momentum contrastive learning framework for code search. 16 - Yubin Qu, Song Huang, Yanzhou Li, Tongtong Bai, Xiang Chen, Xingya Wang, Long Li, Yongming Yao:
BadCodePrompt: backdoor attacks against prompt engineering of large language models for code generation. 17 - Miriam Ugarte, Pablo Valle, Miren Illarramendi, Aitor Arrieta:
Enhancing multi-objective test case selection through the mutation operator. 18 - Yanlin Wang, Ensheng Shi, Lun Du, Xiaodi Yang, Yuxuan Hu, Yan Wang, Daya Guo, Shi Han, Hongyu Zhang, Dongmei Zhang:
Context-aware code summarization with multi-relational graph neural network. 19 - Ruofan Yang, Xianghua Xu, Ran Wang:
LLM-enhanced evolutionary test generation for untyped languages. 20 - Cheng-Hao Cai:
MP: motion program synthesis with machine learning interpretability and knowledge graph analogy. 21 - Kashumi Madampe, John C. Grundy, Minh Nguyen, Ellen Welstead-Cloud, Vinh Tuan Huynh, Linh Doan, William Lay, Sayed Hashim:
EmoReflex: an AI-powered emotion-centric developer insights platform. 22 - Ahmad Bilal, Hamid Turab Mirza, Adnan Ahmad, Ibrar Hussain, Ahmad Salman Khan:
Unveiling functional aspects in google play education app titles and descriptions influencing app success. 23 - Feiqiao Mao, Kaihang Zhong, Long Cheng:
Bmco-o: a smart code smell detection method based on co-occurrences. 24 - Yingling Li, Yuhan Wu, Ziao Wang, Lei Huang, Junjie Wang, Jianping Li, Minying Huang:
CodeDoctor: multi-category code review comment generation. 25 - Bo Liu, Yanjie Jiang, Yuxia Zhang, Nan Niu, Guangjie Li, Hui Liu:
Exploring the potential of general purpose LLMs in automated software refactoring: an empirical study. 26 - Ashis Kumar Mandal, Md. Nadim, Chanchal K. Roy, Banani Roy, Kevin A. Schneider:
Quantum software engineering and potential of quantum computing in software engineering research: a review. 27 - Junsan Zhang, Yang Zhu, Ao Lu, Yudie Yan, Yao Wan:
Bash command comment generation via multi-scale heterogeneous feature fusion. 28 - Chengyu Jia, Jinyin Chen, Xiaohao Li, Haibin Zheng, Luxin Zhang:
BallPri: test cases prioritization for deep neuron networks via tolerant ball in variable space. 29 - Jialun Cao, Meiziniu Li, Ming Wen, Shing-Chi Cheung:
A study on prompt design, advantages and limitations of ChatGPT for deep learning program repair. 30
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