End-to-end log statement generation at block-level

IF 3.7 2区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING Journal of Systems and Software Pub Date : 2024-06-21 DOI:10.1016/j.jss.2024.112146
Ying Fu , Meng Yan , Pinjia He , Chao Liu , Xiaohong Zhang , Dan Yang
{"title":"End-to-end log statement generation at block-level","authors":"Ying Fu ,&nbsp;Meng Yan ,&nbsp;Pinjia He ,&nbsp;Chao Liu ,&nbsp;Xiaohong Zhang ,&nbsp;Dan Yang","doi":"10.1016/j.jss.2024.112146","DOIUrl":null,"url":null,"abstract":"<div><p>Logging is crucial in software development for addressing runtime issues but can pose challenges. Logging encompasses four essential sub-tasks: whether to log (Whether), where to log (Position), which log level (Level), and what information to log (Message). While existing approaches have performed well, they suffer from two limitations. Firstly, they address only a subset of the logging sub-tasks. Secondly, most of them focus on generating single log statements at class or method level, potentially overlooking multiple log statements within those scopes.</p><p>To address these issues, we propose ELogger, which enables end-to-end log statement generation at block-level. Furthermore, ELogger implements block-level log generation, enabling it to handle multiple log statements within different code blocks of a method. Evaluation results indicate that ELogger correctly predicts all four sub-tasks in 19.55% of cases. Compared to the baselines that combined existing approaches for end-to-end log statement generation, ELogger demonstrates a significant improvement with a 50.85% to 78.21% average increase. Additionally, ELogger correctly predicts whether to log in 71.68% of cases, two sub-tasks (Whether and Position) in 58.29% of cases, and three sub-tasks (Whether, Position, and Level) in 41.97% of cases, all of which outperform the baselines.</p></div>","PeriodicalId":51099,"journal":{"name":"Journal of Systems and Software","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Systems and Software","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0164121224001912","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0

Abstract

Logging is crucial in software development for addressing runtime issues but can pose challenges. Logging encompasses four essential sub-tasks: whether to log (Whether), where to log (Position), which log level (Level), and what information to log (Message). While existing approaches have performed well, they suffer from two limitations. Firstly, they address only a subset of the logging sub-tasks. Secondly, most of them focus on generating single log statements at class or method level, potentially overlooking multiple log statements within those scopes.

To address these issues, we propose ELogger, which enables end-to-end log statement generation at block-level. Furthermore, ELogger implements block-level log generation, enabling it to handle multiple log statements within different code blocks of a method. Evaluation results indicate that ELogger correctly predicts all four sub-tasks in 19.55% of cases. Compared to the baselines that combined existing approaches for end-to-end log statement generation, ELogger demonstrates a significant improvement with a 50.85% to 78.21% average increase. Additionally, ELogger correctly predicts whether to log in 71.68% of cases, two sub-tasks (Whether and Position) in 58.29% of cases, and three sub-tasks (Whether, Position, and Level) in 41.97% of cases, all of which outperform the baselines.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
在块级生成端到端日志语句
日志记录在软件开发中对于解决运行时问题至关重要,但也会带来挑战。日志记录包括四个重要的子任务:是否记录日志(是否)、记录在哪里(位置)、哪种日志级别(级别)以及记录什么信息(信息)。虽然现有方法性能良好,但它们存在两个局限性。首先,它们只解决了日志子任务的一部分。为了解决这些问题,我们提出了 ELogger,它可以在块级生成端到端的日志语句。此外,ELogger 实现了块级日志生成,使其能够处理一个方法的不同代码块中的多个日志语句。评估结果表明,在 19.55% 的情况下,ELogger 能正确预测所有四个子任务。与结合现有方法生成端到端日志语句的基线相比,ELogger 的性能有了显著提高,平均提高了 50.85% 到 78.21%。此外,在 71.68% 的案例中,ELogger 能正确预测是否记录日志;在 58.29% 的案例中,ELogger 能正确预测两个子任务(是否和位置);在 41.97% 的案例中,ELogger 能正确预测三个子任务(是否、位置和级别),所有这些都优于基线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Systems and Software
Journal of Systems and Software 工程技术-计算机:理论方法
CiteScore
8.60
自引率
5.70%
发文量
193
审稿时长
16 weeks
期刊介绍: The Journal of Systems and Software publishes papers covering all aspects of software engineering and related hardware-software-systems issues. All articles should include a validation of the idea presented, e.g. through case studies, experiments, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited to: • Methods and tools for, and empirical studies on, software requirements, design, architecture, verification and validation, maintenance and evolution • Agile, model-driven, service-oriented, open source and global software development • Approaches for mobile, multiprocessing, real-time, distributed, cloud-based, dependable and virtualized systems • Human factors and management concerns of software development • Data management and big data issues of software systems • Metrics and evaluation, data mining of software development resources • Business and economic aspects of software development processes The journal welcomes state-of-the-art surveys and reports of practical experience for all of these topics.
期刊最新文献
FSECAM: A contextual thematic approach for linking feature to multi-level software architectural components Exploring emergent microservice evolution in elastic deployment environments An empirical study of AI techniques in mobile applications Information needs in bug reports for web applications Development and benchmarking of multilingual code clone detector
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1