Journal of Information Science and Engineering
Special Issue on Interdisciplinary Study on Software Engineering and Artificial Intelligence
投稿 TCSE 2018 English Session並獲選為最佳英文論文(需符合此特刊主題)將推薦至此特刊
Theme
The complexity of current and emerging software and web services, especially running with big data and the internet of things on a very large scale, has made software engineering researchers and practitioners look for inspiration in the field of Artificial Intelligence (AI) and find new ways to develop such software systems. Since AI technology is increasingly widely used over various domains like biology, transportation, entertainment and manufacturing, studies of software engineering methodologies and tools on the development of AI-supported systems will be essential especially regarding the problems of dynamic, automated and adaptiveness posed by such systems. Conversely, AI technology can be applied to boost the performance and impact of increasingly complex software engineering systems, such as software testing tools, where test automation practices are paramount in cycles of continuous integration and deployment. This special issue is meant primarily to contain selected papers presented at the 2018 14th Taiwan Conference on Software Engineering (TCSE), for which the theme is “Software Engineering and Artificial Intelligence”, to be held in Tainan, Taiwan. TCSE is founded in 2005, it is intended to provide a forum for researchers exchange their research results on software engineering. Nevertheless the special issue is also open to submission of papers from other authors. We encourage submissions on applying AI methods to develop software engineering systems or methodologies, and studies on novel software engineering technologies for AI-supported systems. Major topics of interests are listed but not limited to the following:
- Software engineering for Artificial Intelligence
- Software engineering for AI-supported system
- Debugging, fault localization, and repair for AI-supported system
- Empirical software engineering for AI-supported system
- Requirements engineering for AI-supported system
- Software testing for AI-supported system
- Software engineering tools for AI-supported system
- Artificial Intelligence for software engineering
- Machine Learning for software engineering
- AI-supported tools for software engineering
Author’s Guidelines
The submission should follow the formatting guidelines of the Journal of Information Science and Engineering (http://jise.iis.sinica.edu.tw/pages/authors/index.html). The covering letter should indicate the names of the authors and their affiliations, addresses, faxes, and e-mails. In addition, the following description should be included in the covering letter: “This paper is submitted to the Special Issue on Interdisciplinary Study on Software Engineering and Artificial Intelligence for the theme of 2018 Taiwan Conference on Software Engineering”. Any questions regarding this special issue should be sent to the guest editors. All submitted papers will be reviewed by at least three reviewers and selected based on their originality, significance, relevance, and clarity of presentation. The manuscript should be prepared in JISE Word (or Latex) standard and converted into a PDF for auto-submission system. Electronic paper should be submitted to JISE Online Submission System via http://journal.iis.sinica.edu.tw/servlet/SignInHandler.
Publication Schedule
- Manuscript submission deadline:
Aug. 31, 2018Oct. 19, 2018 - Notification of Acceptance/Rejection/Revision:
Nov. 30, 2018Dec. 31, 2018 - Final Manuscript Due: Jan. 31, 2019
- Tentative Publication Date: 2019
Guest Editors
Prof. Jung-Hsien Chiang
Department of Computer Science and Information Engineering
National Cheng Kung University, Taiwan
Prof. Hung-Yu Kao
Department of Computer Science and Information Engineering
National Cheng Kung University, Taiwan
Prof. Sun-Yuan Hsieh
Department of Computer Science and Information Engineering
National Cheng Kung University, Taiwan
Prof. Shin-Jie Lee
Department of Computer Science and Information Engineering
National Cheng Kung University, Taiwan
Prof. Lawrence Chung
Department of Computer Science
The University of Texas at Dallas