Special issue on Data Analytics and Empirical Software Engineering
摘要截稿:
全文截稿: 2018-11-30
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
The areas within Data Analytics and Empirical Software Engineering are the main topics of this special issue include, but are not limited to:
- New Trends on Data Analytics and Novel ideas pertaining to empirical evaluation and assessment of software engineering technologies, methods, and tools, e.g., transferring and applying empirical methods from other disciplines to empirical software engineering
- Mining software engineering repositories
- Software testing, verification, and bug localization
- Assessing the benefits / costs associated with using certain development technologies
- Modelling, measuring, and assessing product and/or process quality
- Empirically-based decision making
- Meta-analysis, qualitative and quantitative synthesis of studies
- Experiments and quasi-experiments
- Industrial experience, Software project experience, and knowledge management
- Cross- and multi-disciplinary methods and studies
- Empirical studies using qualitative, quantitative, and mixed methods
- Evaluation and comparison of techniques and models
- Infrastructures and novel techniques/tools for supporting any phase of empirical studies
- Deep learning and data analytics in software engineering
- Development and evaluation of empirical prediction systems or software estimation models