Page 123 - 《软件学报》2025年第4期
P. 123
香佳宏 等: 大模型在软件缺陷检测与修复的应用发展综述 1529
[190] Jia YQ, Shelhamer E, Donahue J, Karayev S, Long J, Girshick R, Guadarrama S, Darrell T. Caffe: Convolutional architecture for fast
feature embedding. In: Proc. of the 22nd ACM Int’l Conf. on Multimedia. Orlando: ACM, 2014. 675–678. [doi: 10.1145/2647868.
2654889]
[191] Chen TQ, Li M, Li YT, Lin M, Wang NY, Wang MJ, Xiao TJ, Xu B, Zhang CY, Zhang Z. MXNet: A flexible and efficient machine
learning library for heterogeneous distributed systems. arXiv:1512.01274, 2015.
[192] Wiklund K, Eldh S, Sundmark D, Lundqvist K. Impediments for software test automation: A systematic literature review. Software
Testing, Verification and Reliability, 2017, 27(8): e1639. [doi: 10.1002/stvr.1639]
[193] Garcia SE. Usability testing: Creative techniques for answering your research questions. In: Proc. of the Extended Abstracts of the 2020
CHI Conf. on Human Factors in Computing Systems. Honolulu: ACM, 2020. 1–2. [doi: 10.1145/3334480.3375064]
[194] Haas R, Elsner D, Juergens E, Pretschner A, Apel S. How can manual testing processes be optimized? Developer survey, optimization
guidelines, and case studies. In: Proc. of the 29th ACM Joint Meeting on European Software Engineering Conf. and Symp. on the
Foundations of Software Engineering. Athens: ACM, 2021. 1281–1291. [doi: 10.1145/3468264.3473922]
[195] Petroni F, Rocktäschel T, Riedel S, Lewis P, Bakhtin A, Wu YX, Miller A. Language models as knowledge bases? In: Proc. of the 2019
Conf. on Empirical Methods in Natural Language Processing and the 9th Int’l Joint Conf. on Natural Language Processing (EMNLP-
IJCNLP). Hong Kong: Association for Computational Linguistics, 2019. 2463–2473. [doi: 10.18653/v1/D19-1250]
[196] OpenAI. GPT-4 technical report. arXiv:2303.08774, 2024.
学生会员, 主
[197] Yang ZY, Li LJ, Lin K, Wang JF, Lin CC, Liu ZC, Wang LJ. The dawn of LMMs: Preliminary explorations with GPT-4V(ision).
arXiv:2309.17421, 2023.
[198] ChatGPT plugins. 2023. https://openai.com/blog/chatgpt-plugins
[199] GPT-4 turbo. QpenAI help center. 2023. https://help.openai.com/en/articles/8555510-gpt-4-turbo
[200] Browne R. OpenAI CEO admits a bug allowed some ChatGPT users to see others’ conversation titles. 2023. https://www.cnbc.com/
2023/03/23/openai-ceo-says-a-bug-allowed-some-chatgpt-to-see-others-chat-titles.html
附中文参考文献:
[31] 姜佳君, 陈俊洁, 熊英飞. 软件缺陷自动修复技术综述. 软件学报, 2021, 32(9): 2665–2690. http://www.jos.org.cn/1000-9825/6274.
htm [doi: 10.13328/j.cnki.jos.006274]
[74] 杨艺, 王嬉, 赵春蕾, 步志亮. Android GUI 自动化测试综述. 计算机科学, 2022, 49(S2): 756–765. [doi: 10.11896/jsjkx.210900231]
[173] 刘斌斌, 董威, 王戟. 智能化的程序搜索与构造方法综述. 软件学报, 2018, 29(8): 2180–2197. http://www.jos.org.cn/1000-9825/5529.
htm [doi: 10.13328/j.cnki.jos.005529]
香佳宏(1999-), 男, 硕士, CCF 学生会员, 主要 彭湃(1977-), 男, 本科, 主要研究领域为软件测
研究领域为大模型驱动的自动程序修复, 模糊 试, 系统及软件工程.
测试.
徐霄阳(2003-), 男, 本科生, CCF 学生会员, 主 张钊(1976-), 男, 本科, 主要研究领域为系统及
要研究领域为大模型驱动的自动程序修复. 软件工程, 软件测试, 研发质量管理.
孔繁初(2003-), 男, 本科生, CCF 张煜群(1986-), 男, 博士, 助理教授, 博士生导
要研究领域为大模型驱动的自动程序修复. 师, CCF 专业会员, 主要研究领域为模糊测试,
软件成分分析, 污点分析, 基于大模型的软件
工程.