Empirical Software Engineering

雜志介紹

Empirical Software Engineering雜志介紹

《Empirical Software Engineering》是一本以English為主的未開放獲取國際優秀期刊，中文名稱實證軟件工程，本刊主要出版、報道計算機科學-COMPUTER SCIENCE, SOFTWARE ENGINEERING領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為3.5，最新CiteScore 指數為8.5。

本刊近期中國學者發表的論文主要有：

• Leveraging Stack Overflow to detect relevant tutorial fragments of APIs

  Author: Wu, Di; Jing, Xiao-Yuan; Zhang, Hongyu; Zhou, Yuming; Xu, Baowen

• Towards understanding bugs in Python interpreters

  Author: Liu, Di; Feng, Yang; Yan, Yanyan; Xu, Baowen

• An empirical study of the impact of log parsers on the performance of log-based anomaly detection

  Author: Fu, Ying; Yan, Meng; Xu, Zhou; Xia, Xin; Zhang, Xiaohong; Yang, Dan

• The impact of class imbalance techniques on crashing fault residence prediction models

  Author: Zhao, Kunsong; Xu, Zhou; Yan, Meng; Zhang, Tao; Xue, Lei; Fan, Ming; Keung, Jacky

英文介紹

Empirical Software Engineering雜志英文介紹

Empirical Software Engineering provides a forum for applied software engineering research with a strong empirical component, and a venue for publishing empirical results relevant to both researchers and practitioners. Empirical studies presented here usually involve the collection and analysis of data and experience that can be used to characterize, evaluate and reveal relationships between software development deliverables, practices, and technologies. Over time, it is expected that such empirical results will form a body of knowledge leading to widely accepted and well-formed theories.

The journal also offers industrial experience reports detailing the application of software technologies - processes, methods, or tools - and their effectiveness in industrial settings.

Empirical Software Engineering promotes the publication of industry-relevant research, to address the significant gap between research and practice.