基本信息
浏览量:105
职业迁徙
个人简介
Dr. Do's research interests lie in software engineering, particularly software testing, maintenance, and empirical methodologies. She has been working on problems on evolution-aware testing techniques for object-oriented systems, including test selection, prioritization, test suite design, and unit/integration testing.
Her current research is focused on 1) creating cost-effective regression testing techniques that address the testing process and domain contexts, 2) creating regression testing strategies that address system lifetimes, 3) creating economic models that enable the adequate assessment of techniques and strategies, 4) empirical methodologies to evaluate cost-benefits related to testing techniques considering various factors such as testing context and a system's lifetime, and 5) empirical evaluation which involves various research questions on software testing techniques and problems.
Her current research is focused on 1) creating cost-effective regression testing techniques that address the testing process and domain contexts, 2) creating regression testing strategies that address system lifetimes, 3) creating economic models that enable the adequate assessment of techniques and strategies, 4) empirical methodologies to evaluate cost-benefits related to testing techniques considering various factors such as testing context and a system's lifetime, and 5) empirical evaluation which involves various research questions on software testing techniques and problems.
研究兴趣
论文共 86 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
IEEE Trans. Dependable Secur. Comput.no. 1 (2024): 216-228
Journal of Software: Evolution and Process (2024)
2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)pp.37-48, (2023)
引用1浏览0EIWOS引用
1
0
SOFTWARE QUALITY JOURNALno. 3 (2023): 865-915
2023 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION, ICSMEpp.375-379, (2023)
NLBSE@ICSEpp.11-+, (2023)
Smart Cities, Green Technologies, and Intelligent Transport Systemspp.297-312, (2022)
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn