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Software-practice & Experience

Software-practice & ExperienceSCIE

国际简称:SOFTWARE PRACT EXPER  参考译名:软件实践与经验

  • 中科院分区

    4区

  • CiteScore分区

    Q1

  • JCR分区

    Q2

基本信息:
ISSN:0038-0644
E-ISSN:1097-024X
是否OA:未开放
是否预警:否
TOP期刊:否
出版信息:
出版地区:ENGLAND
出版商:John Wiley and Sons Ltd
出版语言:English
出版周期:Monthly
出版年份:1971
研究方向:工程技术-计算机:软件工程
评价信息:
影响因子:2.6
H-index:63
CiteScore指数:8
SJR指数:0.816
SNIP指数:1.131
发文数据:
Gold OA文章占比:21.32%
研究类文章占比:98.18%
年发文量:110
自引率:0.0857...
开源占比:0.0934
出版撤稿占比:
出版国人文章占比:0.12
OA被引用占比:0.0440...
英文简介 期刊介绍 CiteScore数据 中科院SCI分区 JCR分区 发文数据 常见问题

英文简介Software-practice & Experience期刊介绍

Software: Practice and Experience is an internationally respected and rigorously refereed vehicle for the dissemination and discussion of practical experience with new and established software for both systems and applications.

Articles published in the journal must be directly relevant to the design and implementation of software at all levels, from a useful programming technique all the way up to a large scale software system. As the journal’s name suggests, the focus is on practice and experience with software itself. The journal cannot and does not attempt to cover all aspects of software engineering.

The key criterion for publication of a paper is that it makes a contribution from which other persons engaged in software design and implementation might benefit. Originality is also important. Exceptions can be made, however, for cases where apparently well-known techniques do not appear in the readily available literature.

Contributions regularly:

Provide detailed accounts of completed software-system projects which can serve as ‘how-to-do-it’ models for future work in the same field;

Present short reports on programming techniques that can be used in a wide variety of areas;

Document new techniques and tools that aid in solving software construction problems;

Explain methods/techniques that cope with the special demands of large-scale software projects. However, software process and management of software projects are topics deemed to be outside the journal’s scope.

The emphasis is always on practical experience; articles with theoretical or mathematical content are included only in cases where an understanding of the theory will lead to better practical systems.

If it is unclear whether a manuscript is appropriate for publication in this journal, the list of referenced publications will usually provide a strong indication. When there are no references to Software: Practice and Experience papers (or to papers in a journal with a similar scope such as JSS), it is quite likely that the manuscript is not suited for this journal. Additionally, one of the journal’s editors can be contacted for advice on the suitability of a particular topic.

期刊简介Software-practice & Experience期刊介绍

《Software-practice & Experience》自1971出版以来,是一本计算机科学优秀杂志。致力于发表原创科学研究结果,并为计算机科学各个领域的原创研究提供一个展示平台,以促进计算机科学领域的的进步。该刊鼓励先进的、清晰的阐述,从广泛的视角提供当前感兴趣的研究主题的新见解,或审查多年来某个重要领域的所有重要发展。该期刊特色在于及时报道计算机科学领域的最新进展和新发现新突破等。该刊近一年未被列入预警期刊名单,目前已被权威数据库SCIE收录,得到了广泛的认可。

该期刊投稿重要关注点:

Cite Score数据(2024年最新版)Software-practice & Experience Cite Score数据

  • CiteScore:8
  • SJR:0.816
  • SNIP:1.131
学科类别 分区 排名 百分位
大类:Computer Science 小类:Software Q1 84 / 407

79%

CiteScore 是由Elsevier(爱思唯尔)推出的另一种评价期刊影响力的文献计量指标。反映出一家期刊近期发表论文的年篇均引用次数。CiteScore以Scopus数据库中收集的引文为基础,针对的是前四年发表的论文的引文。CiteScore的意义在于,它可以为学术界提供一种新的、更全面、更客观地评价期刊影响力的方法,而不仅仅是通过影响因子(IF)这一单一指标来评价。

历年Cite Score趋势图

中科院SCI分区Software-practice & Experience 中科院分区

中科院 2023年12月升级版 综述期刊:否 Top期刊:否
大类学科 分区 小类学科 分区
计算机科学 4区 COMPUTER SCIENCE, SOFTWARE ENGINEERING 计算机:软件工程 4区

中科院分区表 是以客观数据为基础,运用科学计量学方法对国际、国内学术期刊依据影响力进行等级划分的期刊评价标准。它为我国科研、教育机构的管理人员、科研工作者提供了一份评价国际学术期刊影响力的参考数据,得到了全国各地高校、科研机构的广泛认可。

中科院分区表 将所有期刊按照一定指标划分为1区、2区、3区、4区四个层次,类似于“优、良、及格”等。最开始,这个分区只是为了方便图书管理及图书情报领域的研究和期刊评估。之后中科院分区逐步发展成为了一种评价学术期刊质量的重要工具。

历年中科院分区趋势图

JCR分区Software-practice & Experience JCR分区

2023-2024 年最新版
按JIF指标学科分区 收录子集 分区 排名 百分位
学科:COMPUTER SCIENCE, SOFTWARE ENGINEERING SCIE Q2 49 / 131

63%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:COMPUTER SCIENCE, SOFTWARE ENGINEERING SCIE Q2 44 / 131

66.79%

JCR分区的优势在于它可以帮助读者对学术文献质量进行评估。不同学科的文章引用量可能存在较大的差异,此时单独依靠影响因子(IF)评价期刊的质量可能是存在一定问题的。因此,JCR将期刊按照学科门类和影响因子分为不同的分区,这样读者可以根据自己的研究领域和需求选择合适的期刊。

历年影响因子趋势图

发文数据

2023-2024 年国家/地区发文量统计
  • 国家/地区数量
  • CHINA MAINLAND68
  • India42
  • Italy40
  • USA40
  • England31
  • Brazil30
  • Australia29
  • Spain26
  • Canada25
  • Iran25

本刊中国学者近年发表论文

  • 1、Resource provisioning in collaborative fog computing for multiple delay-sensitive users

    Author: Lu, Shuaibing; Wu, Jie; Wang, Ning; Duan, Yubin; Liu, Haiming; Zhang, Jiayue; Fang, Juan

    Journal: SOFTWARE-PRACTICE & EXPERIENCE. 2023; Vol. 53, Issue 2, pp. 243-262. DOI: 10.1002/spe.3000

  • 2、ParTransgrid: A scalable parallel preprocessing tool for unstructured-grid cell-centered computational fluid dynamics applications

    Author: Zhang, Jian; Liu, Jie; Zhou, Naichun; Tang, Jing; He, Xie; Chen, Jianqiang

    Journal: SOFTWARE-PRACTICE & EXPERIENCE. 2023; Vol. 53, Issue 1, pp. 6-26. DOI: 10.1002/spe.3042

  • 3、PAS: A new powerful and simple quantum computing simulator

    Author: Bian, Haodong; Huang, Jianqiang; Tang, Jiahao; Dong, Runting; Wu, Li; Wang, Xiaoying

    Journal: SOFTWARE-PRACTICE & EXPERIENCE. 2023; Vol. 53, Issue 1, pp. 142-159. DOI: 10.1002/spe.3049

  • 4、A large scale parallel fluid-structure interaction computing platform for simulating structural responses to a detonation shock

    Author: Zhang, Sen; Guo, Xiao-Wei; Li, Chao; Liu, Yi; Fan, Sijiang; Zhao, Ran; Yang, Canqun

    Journal: SOFTWARE-PRACTICE & EXPERIENCE. 2023; Vol. 53, Issue 1, pp. 211-240. DOI: 10.1002/spe.3051

  • 5、Dynamics signature based anomaly detection

    Author: Goenawan, Ivan Hendy; Du, Zhihui; Wu, Chao; Sun, Yankui; Wei, Jianyan; Bader, David A.

    Journal: SOFTWARE-PRACTICE & EXPERIENCE. 2023; Vol. 53, Issue 1, pp. 160-175. DOI: 10.1002/spe.3052

  • 6、Code samples summarization for knowledge exchange in developer community

    Author: Guo, Shikai; Liu, Zhongyan; Song, Zixuan; Li, Hui; Chen, Rong

    Journal: SOFTWARE-PRACTICE & EXPERIENCE. 2023; Vol. 53, Issue 2, pp. 347-365. DOI: 10.1002/spe.3151

  • 7、Feature transfer learning by reinforcement learning for detecting software defect

    Author: Guo, Shikai; Wang, Jiahui; Xu, Zhihao; Huang, Lin; Li, Hui; Chen, Rong

    Journal: SOFTWARE-PRACTICE & EXPERIENCE. 2023; Vol. 53, Issue 2, pp. 366-389. DOI: 10.1002/spe.3152

  • 8、A transformer-based approach for improving app review response generation

    Author: Zhang, Weizhe; Gu, Wenchao; Gao, Cuiyun; Lyu, Michael R.

    Journal: SOFTWARE-PRACTICE & EXPERIENCE. 2023; Vol. 53, Issue 2, pp. 438-454. DOI: 10.1002/spe.3158

投稿常见问题

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