Special Issue on New Techniques in Search-Based Software Engineering
摘要截稿:
全文截稿: 2019-03-30
影响因子: 2.45
期刊难度:
CCF分类: B类
中科院JCR分区:
• 大类 : 计算机科学 - 2区
• 小类 : 计算机:软件工程 - 2区
• 小类 : 计算机:理论方法 - 2区
Overview
Search-Based Software Engineering (SBSE) is a research field in which search algorithms have been applied to solve problems related to several areas of software engineering, such as testing, requirements selection, project management, software design and coding. SBSE uses search based optimization techniques, mainly those from the evolutionary computation literature to automate the search for optimal or near-optimal solutions to software engineering problems. The SBSE approach has been successfully applied to many problems in software engineering. However, several challenges have to be addressed to mainly tackle the growing complexity of software systems.
This special issue on Search Based Software Engineering calls for scientific contributions, and practical or industrial experience reports that address problems in the software engineering domain through the use of search-based techniques. We particularly encourage contributions demonstrating novel search strategies or the application of computational search techniques to new problems in software engineering or contributions that report on software engineering applications to which SBSE has not been applied before.
Applications may be drawn from throughout the software engineering lifecycle by investigating the application of SBSE approaches for the automation of all phases of the software development process, including the analysis, design, implementation, testing, and maintenance of large software systems. Specific topics can include the application of search techniques to the following areas: