微信服务号

微信订阅号

2025-4-11- 19
Home > Archive>Volume 29, Issue 2, 2018 >320-339. DOI:10.13328/j.cnki.jos.005430
PDF HTML XML Export Cite reminder
Systematic Literature Review of Empirical Studies on Context Aware Requirement Elicitation and Modeling
Author:
Affiliation:

Fund Project:

National Key Research and Development Program of China (2016YFB051801); National Natural Science Foundation of China (61170026); Scientific and Technological Research Program of Chongqing Municipal Education Commission (KJ1500630); Chongqing Engineering Laboratory for Detection, Control and Integrated System, Chongqing Technology and Business University (1456026)

  • Article
    • | |
  • Metrics
    • |
  • Reference
    • |
  • Related
    • |
  • Cited by
    • | |
  • Comments
    Abstract:

    Context-Aware applications become more and more appealing. Eliciting and modeling the context-aware requirements face significant challenges due to the complexity and uncertainty of context. A variety of studies have proposed methods to tackle these challenges. The methodology of systematic literature review is used to analyze which dimensions of context have been used for better requirements elicitation and modeling in context-aware situations, as well as which methods have been used in context aware requirements elicitation and modeling to evaluating the technology transfer maturity of the methods. Future research directions in context aware requirement elicitation and modeling are also discussed.

    Reference
    Related
    Cited by
Get Citation

栗元邦,彭蓉,季晶晶,王帮超,赖涵.经验研究中情景感知需求获取与建模系统文献综述.软件学报,2018,29(2):320-339

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:April 11,2017
  • Revised:June 04,2017
  • Online: November 29,2017
Links:Institute of Software, CASChina Computer FederationCASNSFC
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-4
Address：4# South Fourth Street, Zhong Guan Cun, Beijing 100190,Postal Code：100190
Phone：010-62562563 Fax：010-62562533 Email：jos@iscas.ac.cn
Technical Support：Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063