Výsledky vyhľadávania - "Software and its engineering Software notations and tools Software libraries and repositories"

  1. 1

    Supporting reuse by delivering task-relevant and personalized information Autor Ye, Yunwen, Fischer, Gerhard

    ISBN: 158113472X, 9781581134728
    ISSN: 0270-5257
    Vydavateľské údaje: New York, NY, USA ACM 2002
    “…Technical, cognitive, and social factors inhibit the widespread success of systematic software reuse. Our research is primarily concerned with the cognitive…”
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  2. 2

    Green AI: Do Deep Learning Frameworks Have Different Costs? Autor Georgiou, Stefanos, Kechagia, Maria, Sharma, Tushar, Sarro, Federica, Zou, Ying

    ISSN: 1558-1225
    Vydavateľské údaje: ACM 01.05.2022
    “…The use of Artificial Intelligence (AI), and more specifically of Deep Learning (DL), in modern software systems, is nowadays widespread and continues to grow…”
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  3. 3

    "Jumping Through Hoops": Why do Java Developers Struggle with Cryptography APIs? Autor Nadi, Sarah, Kruger, Stefan, Mezini, Mira, Bodden, Eric

    ISSN: 1558-1225
    Vydavateľské údaje: ACM 01.05.2016
    “…To protect sensitive data processed by current applications, developers, whether security experts or not, have to rely on cryptography. While cryptography…”
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  4. 4

    Watchman: Monitoring Dependency Conflicts for Python Library Ecosystem Autor Wang, Ying, Wen, Ming, Liu, Yepang, Wang, Yibo, Li, Zhenming, Wang, Chao, Yu, Hai, Cheung, Shing-Chi, Xu, Chang, Zhu, Zhiliang

    ISSN: 1558-1225
    Vydavateľské údaje: ACM 01.10.2020
    “…The PyPI ecosystem has indexed millions of Python libraries to allow developers to automatically download and install dependencies of their projects based on…”
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  5. 5

    Muffin: Testing Deep Learning Libraries via Neural Architecture Fuzzing Autor Gu, Jiazhen, Luo, Xuchuan, Zhou, Yangfan, Wang, Xin

    ISSN: 1558-1225
    Vydavateľské údaje: ACM 01.05.2022
    “…Deep learning (DL) techniques are proven effective in many chal-lenging tasks, and become widely-adopted in practice. However, previous work has shown that DL…”
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  6. 6

    API-Misuse Detection Driven by Fine-Grained API-Constraint Knowledge Graph Autor Ren, Xiaoxue, Ye, Xinyuan, Xing, Zhenchang, Xia, Xin, Xu, Xiwei, Zhu, Liming, Sun, Jianling

    ISSN: 2643-1572
    Vydavateľské údaje: ACM 01.09.2020
    “…API misuses cause significant problem in software development. Existing methods detect API misuses against frequent API usage patterns mined from codebase…”
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  7. 7

    Owl Eyes: Spotting UI Display Issues via Visual Understanding Autor Liu, Zhe, Chen, Chunyang, Wang, Junjie, Huang, Yuekai, Hu, Jun, Wang, Qing

    ISSN: 2643-1572
    Vydavateľské údaje: ACM 01.09.2020
    “…Graphical User Interface (GUI) provides a visual bridge between a software application and end users, through which they can interact with each other. With the…”
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  8. 8

    Efficiently Trimming the Fat: Streamlining Software Dependencies with Java Reflection and Dependency Analysis Autor Song, Xiaohu, Wang, Ying, Cheng, Xiao, Liang, Guangtai, Wang, Qianxiang, Zhu, Zhiliang

    ISSN: 1558-1225
    Vydavateľské údaje: ACM 14.04.2024
    “…Numerous third-party libraries introduced into client projects are not actually required, resulting in modern software being gradually bloated. Software…”
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  9. 9

    Resource Usage and Optimization Opportunities in Workflows of GitHub Actions Autor Bouzenia, Islem, Pradel, Michael

    ISSN: 1558-1225
    Vydavateľské údaje: ACM 14.04.2024
    “…Continuous integration and continuous delivery (CI/CD) has become a prevalent practice in software development. GitHub Actions is emerging as a popular…”
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  10. 10

    An Exploratory Study of Deep learning Supply Chain Autor Tan, Xin, Gao, Kai, Zhou, Minghui, Zhang, Li

    ISSN: 1558-1225
    Vydavateľské údaje: ACM 01.05.2022
    “…Deep learning becomes the driving force behind many contemporary technologies and has been successfully applied in many fields. Through software dependencies,…”
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  11. 11

    VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning Autor Chen, Qibin, Lacomis, Jeremy, Schwartz, Edward J., Neubig, Graham, Vasilescu, Bogdan, Goues, Claire Le

    ISSN: 1558-1225
    Vydavateľské údaje: ACM 01.05.2022
    “…Variable names are critical for conveying intended program behavior. Machine learning-based program analysis methods use variable name representations for a…”
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  12. 12

    Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases Autor Tang, Ze, Ge, Jidong, Liu, Shangqing, Zhu, Tingwei, Xu, Tongtong, Huang, Liguo, Luo, Bin

    ISSN: 2643-1572
    Vydavateľské údaje: IEEE 11.09.2023
    “…Large Language Models (LLMs) have demonstrated remarkable performance in code completion. However, due to the lack of domain-specific knowledge, they may not…”
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  13. 13

    Knowledge-Based Environment Dependency Inference for Python Programs Autor Ye, Hongjie, Chen, Wei, Dou, Wensheng, Wu, Guoquan, Wei, Jun

    ISSN: 1558-1225
    Vydavateľské údaje: ACM 01.05.2022
    “…Besides third-party packages, the Python interpreter and system libraries are also critical dependencies of a Python program. In our empirical study, 34%…”
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  14. 14

    Models Are Codes: Towards Measuring Malicious Code Poisoning Attacks on Pre-trained Model Hubs Autor Zhao, Jian, Wang, Shenao, Zhao, Yanjie, Hou, Xinyi, Wang, Kailong, Gao, Peiming, Zhang, Yuanchao, Wei, Chen, Wang, Haoyu

    ISSN: 2643-1572
    Vydavateľské údaje: ACM 27.10.2024
    “…The proliferation of pre-trained models (PTMs) and datasets has led to the emergence of centralized model hubs like Hugging Face, which facilitate…”
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  15. 15

    BinaryAI: Binary Software Composition Analysis via Intelligent Binary Source Code Matching Autor Jiang, Ling, An, Junwen, Huang, Huihui, Tang, Qiyi, Nie, Sen, Wu, Shi, Zhang, Yuqun

    ISSN: 1558-1225
    Vydavateľské údaje: ACM 12.04.2024
    “…While third-party libraries (TPLs) are extensively reused to enhance productivity during software development, they can also introduce potential security risks…”
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  16. 16

    From Misuse to Mastery: Enhancing Code Generation with Knowledge-Driven AI Chaining Autor Ren, Xiaoxue, Ye, Xinyuan, Zhao, Dehai, Xing, Zhenchang, Yang, Xiaohu

    ISSN: 2643-1572
    Vydavateľské údaje: IEEE 11.09.2023
    “…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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  17. 17

    50K-C: a dataset of compilable, and compiled, Java projects Autor Martins, Pedro, Achar, Rohan, Lopes, Cristina V.

    ISBN: 9781450357166, 1450357164
    ISSN: 2574-3864
    Vydavateľské údaje: New York, NY, USA ACM 28.05.2018
    “…We provide a repository of 50,000 compilable Java projects. Each project in this dataset comes with references to all the dependencies required to compile it,…”
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  18. 18

    Statistical learning of API fully qualified names in code snippets of online forums Autor Phan, Hung, Nguyen, Hoan Anh, Tran, Ngoc M., Truong, Linh H., Nguyen, Anh Tuan, Nguyen, Tien N.

    ISBN: 9781450356381, 1450356389
    ISSN: 1558-1225
    Vydavateľské údaje: New York, NY, USA ACM 27.05.2018
    “…Software developers often make use of the online forums such as StackOverflow (SO) to learn how to use software libraries and their APIs. However, the code…”
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  19. 19

    CodeGen4Libs: A Two-Stage Approach for Library-Oriented Code Generation Autor Liu, Mingwei, Yang, Tianyong, Lou, Yiling, Du, Xueying, Wang, Ying, Peng, Xin

    ISSN: 2643-1572
    Vydavateľské údaje: IEEE 11.09.2023
    “…Automated code generation has been extensively studied in recent literature. In this work, we first survey 66 participants to motivate a more pragmatic code…”
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  20. 20

    LibvDiff: Library Version Difference Guided OSS Version Identification in Binaries Autor Dong, Chaopeng, Li, Siyuan, Yang, Shouguo, Xiao, Yang, Wang, Yongpan, Li, Hong, Li, Zhi, Sun, Limin

    ISSN: 1558-1225
    Vydavateľské údaje: ACM 14.04.2024
    “…Open-source software (OSS) has been extensively employed to expedite software development, inevitably exposing downstream software to the peril of potential…”
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