检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

4 篇 会议

馆藏范围

4 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

4 篇 工学
- 4 篇 软件工程
- 1 篇 信息与通信工程
- 1 篇 计算机科学与技术...

主题

4 篇 deprecated api
2 篇 program transfor...
2 篇 automatic update
2 篇 python
1 篇 evolution
1 篇 api migration
1 篇 python library
1 篇 deprecation
1 篇 migration patter...

机构

2 篇 singapore manage...
1 篇 inria
1 篇 fudan univ sch c...
1 篇 monash univ melb...
1 篇 inria le chesnay...
1 篇 washington state...
1 篇 nanjing univ aer...

作者

2 篇 thung ferdian
2 篇 lo david
2 篇 jiang lingxiao
2 篇 lawall julia
2 篇 haryono stefanus...
1 篇 li li
1 篇 liu kui
1 篇 wang jiawei
1 篇 xi yaoguo
1 篇 shen liwei
1 篇 gui yukun
1 篇 cai haipeng
1 篇 zhao wenyun

语言

4 篇 英文

检索条件"主题词=Deprecated API"

共 4 条记录，以下是1-10 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Migrating deprecated api to Documented Replacement: Patterns and Tool 19

Migrating Deprecated API to Documented Replacement: Patterns...

引用

11th Asia-Pacific Symposium on Internetware (Internetware)

作者： Xi, Yaoguo Shen, Liwei Gui, Yukun Zhao, Wenyun Fudan Univ Sch Comp Sci Shanghai Key Lab Data Sci Shanghai Peoples R China

ISBN: (纸本)9781450377010

Deprecation is commonly leveraged to preserve the backwards compatibility in api clients during api evolution. Client developers then usually encounter migration tasks when relying on a new version of api. Manually migrating a deprecated api to its replacement may be tedious and time-consuming. Existing research has focused on the requirements of automated migration however has limitations on the consistency and granularity of the generated migration pathway. In this paper, we propose an approach for migrating deprecated apis to their replacements which are explicitly documented in the code documentation. A migration pattern including the migration type and the migration strategy is first introduced to describe the difference and the code change from a deprecated api to its replacement. An automated process is then designed and implemented to construct the pattern for a specific deprecated api by reviewing the code documentation and analyzing the api source code. Based on the patterns, a tool named DAAMT is developed to locate deprecated apis and to provide migration suggestions for api clients. An experimental study on open-source Java projects and a user study is performing utilizing the approach. The results show that three-fourth of the deprecated apis with documented replacements involved in the projects can be automatically migrated. In addition, the DAAMT tool can improve the efficiency and accuracy of the tasks compared with the manual migration. CCS CONCEPTS Software and its engineering -> Software maintenance tools;Software libraries and repositories;Maintaining software.

关键词： deprecated api api Migration Migration Pattern

来源：评论

学校读者我要写书评

暂无评论

Characterization and Automatic Updates of deprecated Machine-Learning api Usages 37

Characterization and Automatic Updates of Deprecated Machine...

引用

37th IEEE International Conference on Software Maintenance and Evolution (ICSME)

作者： Haryono, Stefanus A. Thung, Ferdian Lo, David Lawall, Julia Jiang, Lingxiao Singapore Management Univ Sch Informat Syst Singapore Singapore Inria Paris France

ISBN: (纸本)9781665428828

Due to the rise of AI applications, machine learning (ML) libraries, often written in Python, have become far more accessible. ML libraries tend to be updated periodically, which may deprecate existing apis, making it necessary for application developers to update their usages. In this paper, we build a tool to automate deprecated api usage updates. We first present an empirical study to better understand how updates of deprecated ML api usages in Python can be done. The study involves a dataset of 112 deprecated apis from Scikit-Learn, TensorFlow, and PyTorch. Guided by the findings of our empirical study, we propose MLCatchUp, a tool to automate the updates of Python deprecated api usages, that automatically infers the api migration transformation through comparison of the deprecated and updated api signatures. These transformations are expressed in a Domain Specific Language (DSL). We evaluate MLCatchUp using a dataset containing 267 files with 551 api usages that we collected from public GitHub repositories. In our dataset, MLCatchUp can detect deprecated api usages with perfect accuracy, and update them correctly for 80.6% of the cases. We further improve the accuracy of MLCatchUp in performing updates by adding a feature that allows it to accept an additional user input that specifies the transformation constraints in the DSL for context-dependent api migration. Using this addition, MLCatchUp can make correct updates for 90.7% of the cases.

关键词： Python Program Transformation Automatic Update deprecated api

来源：评论

学校读者我要写书评

暂无评论

MLCatchUp: Automated Update of deprecated Machine-Learning apis in Python 37

MLCatchUp: Automated Update of Deprecated Machine-Learning A...

引用

37th IEEE International Conference on Software Maintenance and Evolution (ICSME)

作者： Haryono, Stefanus A. Thung, Ferdian Lo, David Lawall, Julia Jiang, Lingxiao Singapore Management Univ Sch Informat Syst Singapore Singapore INRIA Le Chesnay Rocquencourt France

ISBN: (纸本)9781665428828

Machine learning (ML) libraries are gaining vast popularity, especially in the Python programming language. Using the latest version of such libraries is recommended to ensure the best performance and security. When migrating to the latest version of a machine learning library, usages of deprecated apis need to be updated, which is a time-consuming process. In this paper, we propose MLCatchUp, an automated api usage update tool for deprecated apis of popular ML libraries written in Python. MLCatchUp automatically infers the required transformation to migrate usages of deprecated api through the differences between the deprecated and updated api signatures. MLCatchUp offers a readable transformation rule in the form of a domain specific language (DSL). We evaluate MLCatchUp using a dataset of 267 real-world Python code containing 551 usages of 68 distinct deprecated apis, where MLCatchUp achieves 90.7% accuracy. A video demonstration of MLCatchUp is available at https://***/5NjOPNt5iaA.

关键词： Python Program Transformation Automatic Update deprecated api

来源：评论

学校读者我要写书评

暂无评论

Exploring How deprecated Python Library apis Are (Not) Handled 2020

Exploring How Deprecated Python Library APIs Are (Not) Handl...

引用

28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE)

作者： Wang, Jiawei Li, Li Liu, Kui Cai, Haipeng Monash Univ Melbourne Vic Australia Nanjing Univ Aeronaut & Astronaut Nanjing Peoples R China Washington State Univ Pullman WA 99164 USA

ISBN: (纸本)9781450370431

In this paper, we present the first exploratory study of deprecated Python library apis to understand the status quo of api deprecation in the realm of Python libraries. Specifically, we aim to comprehend how deprecated library apis are declared and documented in practice by their maintainers, and how library users react to them. By thoroughly looking into six reputed Python libraries and 1,200 GitHub projects, we experimentally observe that api deprecation is poorly handled by library contributors, which subsequently introduce difficulties for Python developers to resolve the usage of deprecated library apis. This empirical evidence suggests that our community should take immediate actions to appropriately handle the deprecation of Python library apis.

关键词： deprecated api Deprecation Python library Evolution

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共1页 << < 1 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：