Výsledky vyhledávání - "Software and its engineering Software notations and tools Software maintenance tools"

  1. 1

    DLFix: Context-based Code Transformation Learning for Automated Program Repair Autor Li, Yi, Wang, Shaohua, Nguyen, Tien N.

    ISSN: 1558-1225
    Vydáno: ACM 01.10.2020
    “…Automated Program Repair (APR) is very useful in helping developers in the process of software development and maintenance. Despite recent advances in deep…”
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  2. 2

    Retrieval-based Neural Source Code Summarization Autor Zhang, Jian, Wang, Xu, Zhang, Hongyu, Sun, Hailong, Liu, Xudong

    ISSN: 1558-1225
    Vydáno: ACM 01.10.2020
    “…Source code summarization aims to automatically generate concise summaries of source code in natural language texts, in order to help developers better…”
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  3. 3

    Big Code != Big Vocabulary: Open-Vocabulary Models for Source Code Autor Karampatsis, Rafael-Michael, Babii, Hlib, Robbes, Romain, Sutton, Charles, Janes, Andrea

    ISSN: 1558-1225
    Vydáno: ACM 01.10.2020
    “…Statistical language modeling techniques have successfully been applied to large source code corpora, yielding a variety of new software development tools,…”
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  4. 4

    Using Pre-Trained Models to Boost Code Review Automation Autor Tufano, Rosalia, Masiero, Simone, Mastropaolo, Antonio, Pascarella, Luca, Poshyvanyk, Denys, Bavota, Gabriele

    ISSN: 1558-1225
    Vydáno: ACM 01.05.2022
    “…Code review is a practice widely adopted in open source and industrial projects. Given the non-negligible cost of such a process, researchers started…”
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  5. 5

    Multi-task Learning based Pre-trained Language Model for Code Completion Autor Liu, Fang, Li, Ge, Zhao, Yunfei, Jin, Zhi

    ISSN: 2643-1572
    Vydáno: ACM 01.09.2020
    “…Code completion is one of the most useful features in the Integrated Development Environments (IDEs), which can accelerate software development by suggesting…”
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  6. 6

    Retrieve and Refine: Exemplar-based Neural Comment Generation Autor Wei, Bolin, Li, Yongmin, Li, Ge, Xia, Xin, Jin, Zhi

    ISSN: 2643-1572
    Vydáno: ACM 01.09.2020
    “…Code comment generation which aims to automatically generate natural language descriptions for source code, is a crucial task in the field of automatic…”
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  7. 7

    Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning Autor Geng, Mingyang, Wang, Shangwen, Dong, Dezun, Wang, Haotian, Li, Ge, Jin, Zhi, Mao, Xiaoguang, Liao, Xiangke

    ISSN: 1558-1225
    Vydáno: ACM 14.04.2024
    “…Code comment generation aims at generating natural language descriptions for a code snippet to facilitate developers' program comprehension activities. Despite…”
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  8. 8

    Modern code review: a case study at google Autor Sadowski, Caitlin, Söderberg, Emma, Church, Luke, Sipko, Michal, Bacchelli, Alberto

    ISBN: 9781450356596, 1450356591
    Vydáno: New York, NY, USA ACM 27.05.2018
    “…Employing lightweight, tool-based code review of code changes (aka modern code review) has become the norm for a wide variety of open-source and industrial…”
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  9. 9

    Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study Autor Guo, Qi, Cao, Junming, Xie, Xiaofei, Liu, Shangqing, Li, Xiaohong, Chen, Bihuan, Peng, Xin

    ISSN: 1558-1225
    Vydáno: ACM 14.04.2024
    “…Code review is an essential activity for ensuring the quality and maintainability of software projects. However, it is a time-consuming and often error-prone…”
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  10. 10

    DEAR: A Novel Deep Learning-based Approach for Automated Program Repair Autor Li, Yi, Wang, Shaohua, Nguyen, Tien N.

    ISSN: 1558-1225
    Vydáno: ACM 01.05.2022
    “…The existing deep learning (DL)-based automated program repair (APR) models are limited in fixing general software defects. We present DEAR, a DL-based…”
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  11. 11

    SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations Autor Niu, Changan, Li, Chuanyi, Ng, Vincent, Ge, Jidong, Huang, Liguo, Luo, Bin

    ISSN: 1558-1225
    Vydáno: ACM 01.05.2022
    “…Recent years have seen the successful application of large pretrained models to code representation learning, resulting in substantial improvements on many…”
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  12. 12

    Neural-Machine-Translation-Based Commit Message Generation: How Far Are We? Autor Liu, Zhongxin, Xia, Xin, Hassan, Ahmed E., Lo, David, Xing, Zhenchang, Wang, Xinyu

    ISSN: 2643-1572
    Vydáno: ACM 03.09.2018
    “…Commit messages can be regarded as the documentation of software changes. These messages describe the content and purposes of changes, hence are useful for…”
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  13. 13

    On the Evaluation of Neural Code Summarization Autor Shi, Ensheng, Wang, Yanlin, Du, Lun, Chen, Junjie, Han, Shi, Zhang, Hongyu, Zhang, Dongmei, Sun, Hongbin

    ISSN: 1558-1225
    Vydáno: ACM 01.05.2022
    “…Source code summaries are important for program comprehension and maintenance. However, there are plenty of programs with missing, outdated, or mismatched…”
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  14. 14

    CCAligner: a token based large-gap clone detector Autor Wang, Pengcheng, Svajlenko, Jeffrey, Wu, Yanzhao, Xu, Yun, Roy, Chanchal K.

    ISBN: 9781450356381, 1450356389
    ISSN: 1558-1225
    Vydáno: New York, NY, USA ACM 27.05.2018
    “…Copying code and then pasting with large number of edits is a common activity in software development, and the pasted code is a kind of complicated Type-3…”
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  15. 15

    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.

    ISSN: 2643-1572
    Vydáno: IEEE 11.09.2023
    “…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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  16. 16

    FIRA: Fine-Grained Graph-Based Code Change Representation for Automated Commit Message Generation Autor Dong, Jinhao, Lou, Yiling, Zhu, Qihao, Sun, Zeyu, Li, Zhilin, Zhang, Wenjie, Hao, Dan

    ISSN: 1558-1225
    Vydáno: ACM 01.05.2022
    “…Commit messages summarize code changes of each commit in nat-ural language, which help developers understand code changes without digging into detailed…”
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  17. 17

    Release Planning of Mobile Apps Based on User Reviews Autor Villarroel, Lorenzo, Bavota, Gabriele, Russo, Barbara, Oliveto, Rocco, Di Penta, Massimiliano

    ISSN: 1558-1225
    Vydáno: ACM 01.05.2016
    “…Developers have to to constantly improve their apps by fixing critical bugs and implementing the most desired features in order to gain shares in the…”
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  18. 18

    Using Deep Learning to Generate Complete Log Statements Autor Mastropaolo, Antonio, Pascarella, Luca, Bavota, Gabriele

    ISSN: 1558-1225
    Vydáno: ACM 01.05.2022
    “…Logging is a practice widely adopted in several phases of the software lifecycle. For example, during software development log statements allow engineers to…”
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  19. 19

    An Empirical Investigation into Learning Bug-Fixing Patches in the Wild via Neural Machine Translation Autor Tufano, Michele, Watson, Cody, Bavota, Gabriele, di Penta, Massimiliano, White, Martin, Poshyvanyk, Denys

    ISSN: 2643-1572
    Vydáno: ACM 01.09.2018
    “…Millions of open-source projects with numerous bug fixes are available in code repositories. This proliferation of software development histories can be…”
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  20. 20

    CCGraph: a PDG-based code clone detector with approximate graph matching Autor Zou, Yue, Ban, Bihuan, Xue, Yinxing, Xu, Yun

    ISSN: 2643-1572
    Vydáno: ACM 01.09.2020
    “…Software clone detection is an active research area, which is very important for software maintenance, bug detection, etc. The two pieces of cloned code…”
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