This journal details research, tutorial papers, survey and accounts of significant industrial experience in the foundations, techniques, tools and applications of automated software engineering technology. This includes the study of techniques for constructing, understanding, adapting, and modeling software artifacts and processes. Coverage in Automated Software Engineering examines both automatic systems and collaborative systems as well as computational models of human software engineering activities. In addition, it presents knowledge representations and artificial intelligence techniques applicable to automated software engineering, and formal techniques that support or provide theoretical foundations. The journal also includes reviews of books, software, conferences and workshops.
本期刊详细介绍了自动化软件工程技术的基础、技术、工具和应用方面的研究、指导论文、调查和重要工业经验的说明。自动化软件工程覆盖研究自动化系统和协作系统以及人类软件工程活动的计算模型。此外,它还介绍了适用于自动化软件工程的知识表示和人工智能技术,以及支持或提供理论基础的形式化技术。该杂志还包括书籍、软件、会议和研讨会的评论。
Heterogeneous defect prediction with two-stage ensemble learning
来源期刊:Automated Software EngineeringDOI:10.1007/s10515-019-00259-1
Change impact analysis for maintenance and evolution of variable software systems
来源期刊:Automated Software EngineeringDOI:10.1007/s10515-019-00253-7
Improving web service interfaces modularity using multi-objective optimization
来源期刊:Automated Software EngineeringDOI:10.1007/s10515-019-00256-4
Collaborative feature location in models through automatic query expansion
来源期刊:Automated Software EngineeringDOI:10.1007/s10515-019-00251-9
An NLP approach for cross-domain ambiguity detection in requirements engineering
来源期刊:Automated Software EngineeringDOI:10.1007/s10515-019-00261-7
Automatic, highly accurate app permission recommendation
来源期刊:Automated Software EngineeringDOI:10.1007/s10515-019-00254-6
Precise semantic history slicing through dynamic delta refinement
来源期刊:Automated Software EngineeringDOI:10.1007/s10515-019-00260-8
Enhance code search via reformulating queries with evolving contexts
来源期刊:Automated Software EngineeringDOI:10.1007/s10515-019-00263-5
Using multi-objective search and machine learning to infer rules constraining product configurations
来源期刊:Automated Software EngineeringDOI:10.1007/s10515-019-00266-2
Requirements-driven evolution of sociotechnical systems via probabilistic reasoning and hill climbing
来源期刊:Automated Software EngineeringDOI:10.1007/s10515-019-00255-5
Cost-aware scheduling for ensuring software performance and reliability under heterogeneous workloads of hybrid cloud
来源期刊:Automated Software EngineeringDOI:10.1007/s10515-019-00252-8
Modeling hierarchical usage context for software exceptions based on interaction data
来源期刊:Automated Software EngineeringDOI:10.1007/s10515-019-00265-3
Region and effect inference for safe parallelism
来源期刊:Automated Software EngineeringDOI:10.1007/s10515-019-00257-3
How effective are existing Java API specifications for finding bugs during runtime verification?
来源期刊:Automated Software EngineeringDOI:10.1007/s10515-019-00267-1
Guest editorial: special section on artificial intelligence for requirements engineering
来源期刊:Automated Software EngineeringDOI:10.1007/s10515-019-00262-6
Automatic B-model repair using model checking and machine learning
来源期刊:Automated Software EngineeringDOI:10.1007/s10515-019-00264-4
Editor’s note
来源期刊:Automated Software EngineeringDOI:10.1007/s10515-019-00258-2