2015 - IEEE Fellow For contributions to software architecture and component-based software engineering
2013 - Fellow, The World Academy of Sciences
His primary scientific interests are in Software, Software engineering, Test case, Software architecture and Data mining. His Software research includes themes of Algorithm and The Internet. His Software engineering study incorporates themes from Java and World Wide Web.
His Test case research is multidisciplinary, incorporating perspectives in Reliability engineering, Regression testing and Fault detection and isolation. Hong Mei has included themes like Software system, Hardware architecture and Component in his Software architecture study. His Data mining research is multidisciplinary, incorporating elements of Consistency, Unified Modeling Language, Correctness and Constraint.
Hong Mei mainly focuses on Software engineering, Software, Distributed computing, Software architecture and Data mining. The concepts of his Software engineering study are interwoven with issues in Software system, Component-based software engineering, Software development, Resource-oriented architecture and Middleware. The study incorporates disciplines such as Java, Reliability engineering and Formal specification in addition to Software.
His biological study spans a wide range of topics, including Application server, Scalability, Key, Resource and Cloud computing. His biological study spans a wide range of topics, including Systems engineering, Component and Runtime system. Hong Mei has researched Data mining in several fields, including Feature model, Feature, Consistency, Test case and Constraint.
His primary areas of study are Software, Software engineering, Operating system, Cloud computing and Data mining. His study on Software bug is often connected to Perspective as part of broader study in Software. The various areas that he examines in his Software engineering study include Software system, Software development, Software construction and Software automation.
His Cloud computing study integrates concerns from other disciplines, such as Distributed computing, Response time, Cluster analysis, Service provider and Server. Hong Mei combines subjects such as Quality of service, Scalability, Resource allocation and CloudSim with his study of Distributed computing. His Data mining research focuses on Feature and how it connects with Pattern recognition.
His primary scientific interests are in Software, Software bug, Software engineering, Empirical research and Code. As a part of the same scientific study, Hong Mei usually deals with the Software, concentrating on Source code and frequently concerns with Crash, Bebugging and Software system. His Software bug research includes themes of Debugging, Embedded system and Resource management.
As part of the same scientific family, Hong Mei usually focuses on Software engineering, concentrating on Software artifacts and intersecting with World Wide Web. His World Wide Web course of study focuses on Component and Mashup, Web service and Service. In his study, which falls under the umbrella issue of Data mining, Regression testing is strongly linked to Test.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Personalized QoS Prediction forWeb Services via Collaborative Filtering
Lingshuang Shao;Jing Zhang;Yong Wei;Junfeng Zhao.
international conference on web services (2007)
MAPO: Mining and Recommending API Usage Patterns
Hao Zhong;Tao Xie;Lu Zhang;Jian Pei.
european conference on object oriented programming (2009)
Towards automatic model synchronization from model transformations
Yingfei Xiong;Dongxi Liu;Zhenjiang Hu;Haiyan Zhao.
automated software engineering (2007)
Inferring Resource Specifications from Natural Language API Documentation
Hao Zhong;Lu Zhang;Tao Xie;Hong Mei.
automated software engineering (2009)
An approach to constructing feature models based on requirements clustering
Kun Chen;Wei Zhang;Haiyan Zhao;Hong Mei.
international conference on requirements engineering (2005)
A Propositional Logic-Based Method for Verification of Feature Models
Wei Zhang;Haiyan Zhao;Hong Mei.
international conference on formal engineering methods (2004)
A Runtime Model Based Monitoring Approach for Cloud
Jin Shao;Hao Wei;Qianxiang Wang;Hong Mei.
international conference on cloud computing (2010)
Time-aware test-case prioritization using integer linear programming
Lu Zhang;Shan-Shan Hou;Chao Guo;Tao Xie.
international symposium on software testing and analysis (2009)
Bridging the gap between the total and additional test-case prioritization strategies
Lingming Zhang;Dan Hao;Lu Zhang;Gregg Rothermel.
international conference on software engineering (2013)
Refactoring android Java code for on-demand computation offloading
Ying Zhang;Gang Huang;Xuanzhe Liu;Wei Zhang.
conference on object-oriented programming systems, languages, and applications (2012)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.
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