Výsledky vyhledávání - General and reference Cross-computing tools and techniques Empirical studies*

Lost in Translation: A Study of Bugs Introduced by Large Language Models While Translating Code Autor Pan, Rangeet, Ibrahimzada, Ali Reza, Krishna, Rahul, Sankar, Divya, Wassi, Lambert Pougeum, Merler, Michele, Sobolev, Boris, Pavuluri, Raju, Sinha, Saurabh, Jabbarvand, Reyhaneh

“… To that end, we present a large-scale empirical study to investigate the ability of general LLMs and code LLMs for code translation across pairs of different languages, including C, C++…”
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Grounded Theory in Software Engineering Research: A Critical Review and Guidelines Autor Stol, Klaas-Jan, Ralph, Paul, Fitzgerald, Brian

“…Grounded Theory (GT) has proved an extremely useful research approach in several fields including medical sociology, nursing, education and management theory…”
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Are code examples on an online Q&A forum reliable?: a study of API misuse on stack overflow Autor Zhang, Tianyi, Upadhyaya, Ganesha, Reinhardt, Anastasia, Rajan, Hridesh, Kim, Miryung

“… This paper presents an empirical study on the prevalence and severity of API misuse on Stack Overflow…”
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What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs? Autor 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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An Empirical Study on Fine-Tuning Large Language Models of Code for Automated Program Repair Autor Huang, Kai, Meng, Xiangxin, Zhang, Jian, Liu, Yang, Wang, Wenjie, Li, Shuhao, Zhang, Yuqing

“…The advent of large language models (LLMs) has opened up new opportunities for automated program repair (APR). In particular, some recent studies have explored…”
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Secure coding practices in Java: challenges and vulnerabilities Autor Meng, Na, Nagy, Stefan, Yao, Danfeng (Daphne), Zhuang, Wenjie, Argoty, Gustavo Arango

“… We conducted an empirical study on StackOverflow posts, aiming to understand developers' concerns on Java secure coding, their programming obstacles, and insecure coding practices…”
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Nuances are the Key: Unlocking ChatGPT to Find Failure-Inducing Tests with Differential Prompting Autor Li, Tsz-On, Zong, Wenxi, Wang, Yibo, Tian, Haoye, Wang, Ying, Cheung, Shing-Chi, Kramer, Jeff

“…Automated detection of software failures is an important but challenging software engineering task. It involves finding in a vast search space the…”
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Gamma: Revisiting Template-Based Automated Program Repair Via Mask Prediction Autor Zhang, Quanjun, Fang, Chunrong, Zhang, Tongke, Yu, Bowen, Sun, Weisong, Chen, Zhenyu

“…Automated program repair (APR) aims to fix software bugs without manual debugging efforts and plays a crucial role in software development and maintenance…”
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How Many of All Bugs Do We Find? A Study of Static Bug Detectors Autor Habib, Andrew, Pradel, Michael

“… To decide which of these bugs the tools detect, we use a novel methodology that combines an automatic analysis of warnings and bugs with a manual validation of each candidate…”
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How Android Developers Handle Evolution-induced API Compatibility Issues: A Large-scale Study Autor Xia, Hao, Zhang, Yuan, Zhou, Yingtian, Chen, Xiaoting, Wang, Yang, Zhang, Xiangyu, Cui, Shuaishuai, Hong, Geng, Zhang, Xiaohan, Yang, Min, Yang, Zhemin

“…As Android platform evolves in a fast pace, API-related compatibility issues become a significant challenge for developers. To handle an incompatible API…”
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A Large-Scale Empirical Study on Vulnerability Distribution within Projects and the Lessons Learned Autor Liu, Bingchang, Meng, Guozhu, Zou, Wei, Gong, Qi, Li, Feng, Lin, Min, Sun, Dandan, Huo, Wei, Zhang, Chao

“… Previous research either focuses on analyzing bugs rather than vulnerabilities, or only studies general vulnerability distribution among projects rather than the distribution within each project…”
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Assessing and Restoring Reproducibility of Jupyter Notebooks Autor Wang, Jiawei, KUO, Tzu-Yang, Li, Li, Zeller, Andreas

“…Jupyter notebooks-documents that contain live code, equations, visualizations, and narrative text-now are among the most popular means to compute, present,…”
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Understanding and Detecting Callback Compatibility Issues for Android Applications Autor Huang, Huaxun, Wei, Lili, Liu, Yepang, Cheung, Shing-Chi

“… To bridge the gap, we examined Android documentations and conducted an empirical study on 100 real-world callback compatibility issues to investigate how these issues were induced…”
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An Empirical Study of Parameter-Efficient Fine-Tuning Methods for Pre-Trained Code Models Autor Liu, Jiaxing, Sha, Chaofeng, Peng, Xin

“… Although these methods claim superiority over the prior techniques, they seldom make a comprehensive and fair comparison on multiple software engineering tasks…”
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The Plastic Surgery Hypothesis in the Era of Large Language Models Autor Xia, Chunqiu Steven, Ding, Yifeng, Zhang, Lingming

“… Traditional APR tools typically focus on specific bug types and fixes through the use of templates, heuristics, and formal specifications…”
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Characterizing and Detecting Bugs in WeChat Mini-Programs Autor Wang, Tao, Xu, Qingxin, Chang, Xiaoning, Dou, Wensheng, Zhu, Jiaxin, Xie, Jinhui, Deng, Yuetang, Yang, Jianbo, Yang, Jiaheng, Wei, Jun, Huang, Tao

“… These bugs have seriously affected users' experience and caused serious impacts. In this paper, we conduct the first empirical study on 83 WeChat Mini-Program bugs, and perform an in-depth analysis of their root causes, impacts and fixes…”
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Where Shall We Log? Studying and Suggesting Logging Locations in Code Blocks Autor Li, Zhenhao, Chen, Tse-Hsun, Shang, Weiyi

“…Developers write logging statements to generate logs and record system execution behaviors to assist in debugging and software maintenance. However, deciding…”
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When Less is Enough: Positive and Unlabeled Learning Model for Vulnerability Detection Autor Wen, Xin-Cheng, Wang, Xinchen, Gao, Cuiyun, Wang, Shaohua, Liu, Yang, Gu, Zhaoquan

“…Automated code vulnerability detection has gained increasing attention in recent years. The deep learning (DL)-based methods, which implicitly learn vulnerable…”
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Understanding Transaction Bugs in Database Systems Autor Cui, Ziyu, Dou, Wensheng, Gao, Yu, Wang, Dong, Song, Jiansen, Zheng, Yingying, Wang, Tao, Yang, Rui, Xu, Kang, Hu, Yixin, Wei, Jun, Huang, Tao

“…, incorrect database states and DBMS crashes. An in-depth understanding of real-world transaction bugs can significantly promote effective techniques in combating transaction bugs in DBMSs…”
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On the Evaluation of Neural Code Translation: Taxonomy and Benchmark Autor Jiao, Mingsheng, Yu, Tingrui, Li, Xuan, Qiu, Guanjie, Gu, Xiaodong, Shen, Beijun

“…s. Based on the empirical results, we develop a taxonomy that categorizes code translation tasks into four primary types according to their complexity…”
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