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What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs? by Gao, Shuzheng, Wen, Xin-Cheng, Gao, Cuiyun, Wang, Wenxuan, Zhang, Hongyu, Lyu, Michael R.

“…Pre-trained models of source code have gained widespread popularity in many code intelligence tasks. Recently, with the scaling of the model and corpus size,…”
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Testing vision-based control systems using learnable evolutionary algorithms by Abdessalem, Raja Ben, Nejati, Shiva, Briand, Lionel C., Stifter, Thomas

“…: First, classification models guide the search-based generation of tests faster towards critical test scenarios (i.e…”
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Natural Attack for Pre-trained Models of Code by Yang, Zhou, Shi, Jieke, He, Junda, Lo, David

“…Pre-trained models of code have achieved success in many important software engineering tasks…”
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From Misuse to Mastery: Enhancing Code Generation with Knowledge-Driven AI Chaining by Ren, Xiaoxue, Ye, Xinyuan, Zhao, Dehai, Xing, Zhenchang, Yang, Xiaohu

“…Large Language Models (LLMs) have shown promising results in automatic code generation by improving coding efficiency to a certain extent. However, generating…”
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SBSE4VM: Search Based Software Engineering for Variability Management by Lopez-Herrejon, R. E., Egyed, A.

“…) that runs for two years. The driving goal of the project is to explore the application of Search Based Software Engineering techniques to reverse engineer, evolve…”
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A Search-Based Approach for Accurate Identification of Log Message Formats by Messaoudi, Salma, Panichella, Annibale, Bianculli, Domenico, Briand, Lionel, Sasnauskas, Raimondas

“…Many software engineering activities process the events contained in log files. However, before performing any processing activity, it is necessary to parse the entries in a log file, to retrieve the actual events recorded in the log…”
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Distilled Lifelong Self-Adaptation for Configurable Systems by Ye, Yulong, Chen, Tao, Li, Miqing

“…Modern configurable systems provide tremendous opportunities for engineering future intelligent software systems…”
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Fuzz Testing based Data Augmentation to Improve Robustness of Deep Neural Networks by Gao, Xiang, Saha, Ripon K., Prasad, Mukul R., Roychoudhury, Abhik

“… Inspired by these approaches, in this paper, we propose a technique that re-purposes software testing methods, specifically…”
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Testing Autonomous Cars for Feature Interaction Failures using Many-Objective Search by Ben Abdessalem, Raja, Panichella, Annibale, Nejati, Shiva, Briand, Lionel C., Stifter, Thomas

“… In this paper, we propose a technique to detect feature interaction failures by casting this problem into a search-based test generation problem…”
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Software requirements interaction management using search-based software engineering methods: A survey by Sodagari, Elham, Keyvanpour, Mohammadreza

“… The purpose of the research in the field of search-based software engineering is transfer of software engineering issues from a search based on human activities to a machine-based search using…”
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Efficient Online Testing for DNN-Enabled Systems using Surrogate-Assisted and Many-Objective Optimization by Haq, Fitash Ul, Shin, Donghwan, Briand, Lionel

“…) for self-driving cars, ensuring the reliability and safety of such DNN-enabled Systems emerges as a fundamental topic in software testing…”
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A Closer Look at Different Difficulty Levels Code Generation Abilities of ChatGPT by Yan, Dapeng, Gao, Zhipeng, Liu, Zhiming

“… With the rapid development of intelligent software engineering, automated code generation has become a hot research topic in both artificial intelligence and software engineering, and researchers…”
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Search-Based LLMs for Code Optimization by Gao, Shuzheng, Gao, Cuiyun, Gu, Wenchao, Lyu, Michael R.

“…The code written by developers usually suffers from efficiency problems and contain various performance bugs. These inefficiencies necessitate the research of…”
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Code Search based on Context-aware Code Translation by Sun, Weisong, Fang, Chunrong, Chen, Yuchen, Tao, Guanhong, Han, Tingxu, Zhang, Quanjun

“…Code search is a widely used technique by developers during software development…”
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DeepTC-Enhancer: Improving the Readability of Automatically Generated Tests by Roy, Devjeet, Zhang, Ziyi, Ma, Maggie, Arnaoudova, Venera, Panichella, Annibale, Panichella, Sebastiano, Gonzalez, Danielle, Mirakhorli, Mehdi

“…Automated test case generation tools have been successfully proposed to reduce the amount of human and infrastructure resources required to write and run test…”
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An Empirical Study of Parameter-Efficient Fine-Tuning Methods for Pre-Trained Code Models by Liu, Jiaxing, Sha, Chaofeng, Peng, Xin

“…Pre-trained code models (e.g. CodeBERT and CodeT5) have demonstrated their code intelligence in various software engineering tasks, such as code summarization…”
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Automated Parameter Optimization of Classification Techniques for Defect Prediction Models by Tantithamthavorn, Chakkrit, McIntosh, Shane, Hassan, Ahmed E., Matsumoto, Kenichi

“…Defect prediction models are classifiers that are trained to identify defect-prone software modules…”
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Intention is All you Need: Refining your Code from your Intention by Guo, Qi, Xie, Xiaofei, Liu, Shangqing, Hu, Ming, Li, Xiaohong, Bu, Lei

“… As software projects scale in size and complexity, the traditional iterative exchange between re-viewers and developers becomes increasingly burdensome…”
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Knowledge-Enhanced Program Repair for Data Science Code by Ouyang, Shuyin, Zhang, Jie M., Sun, Zeyu, Penuela, Albert Merono

“…This paper introduces DSrepair, a knowledge-enhanced program repair approach designed to repair the buggy code generated by LLMs in the data science domain…”
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Challenges of Accurate and Efficient AutoML by Dey, Swarnava, Ghose, Avik, Das, Soumik

“…Embedded Artificial Intelligence (AI) is becoming increasingly important in the field of healthcare where such AI enabled devices are utilized to assist…”
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