His primary areas of investigation include Software engineering, Software architecture, Blockchain, Software and Management science. His Software engineering research is multidisciplinary, incorporating elements of Quality, Systems engineering and Resource-oriented architecture. His Software architecture research is multidisciplinary, incorporating perspectives in Non-functional requirement, Software system, Software design pattern and Software quality.
His Blockchain research incorporates elements of Product traceability, Data management and Thesaurus. His Management science research focuses on Personal software process and how it relates to Software verification and validation, Extreme programming practices and Continuous testing. He works mostly in the field of Cryptography, limiting it down to topics relating to Architecture design and, in certain cases, Distributed computing.
Liming Zhu mainly focuses on Software engineering, Cloud computing, Distributed computing, Software architecture and Software deployment. His research integrates issues of Software, Software development, Enterprise architecture framework, Systems engineering and Blockchain in his study of Software engineering. The various areas that Liming Zhu examines in his Blockchain study include Scalability and Software design pattern.
His Cloud computing research focuses on subjects like Service, which are linked to Web service. The Software architecture study combines topics in areas such as Architectural pattern and Software quality. His work in the fields of Software deployment, such as Continuous delivery and DevOps, intersects with other areas such as Control reconfiguration and Empirical research.
Liming Zhu spends much of his time researching Artificial intelligence, Blockchain, Machine learning, Deep learning and Software engineering. His Artificial intelligence research integrates issues from Recommender system and Spatial analysis. Blockchain is a subfield of Computer security that Liming Zhu explores.
While the research belongs to areas of Software engineering, he spends his time largely on the problem of Escrow, intersecting his research to questions surrounding Source code. His work carried out in the field of Data integrity brings together such families of science as Client–server model and Distributed computing. His study explores the link between Design pattern and topics such as Cryptocurrency that cross with problems in Software architecture.
His scientific interests lie mostly in Artificial intelligence, Deep learning, Software engineering, Human–computer interaction and World Wide Web. His Artificial intelligence research includes elements of Machine learning and Recommender system. His research investigates the connection between Deep learning and topics such as Android that intersect with problems in Autoencoder, Software feature, Software development and Search engine.
Liming Zhu integrates Software engineering with Asset management in his study. His work in the fields of User experience design overlaps with other areas such as Animation, Design space and Canny edge detector. His World Wide Web research includes themes of Natural language, Leverage and Gesture.
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.
Devops: A Software Architect's Perspective
Len Bass;Ingo Weber;Liming Zhu.
A Taxonomy of Blockchain-Based Systems for Architecture Design
Xiwei Xu;Ingo Weber;Mark Staples;Liming Zhu.
2017 IEEE International Conference on Software Architecture (ICSA) (2017)
Blockchains for Business Process Management - Challenges and Opportunities
Jan Mendling;Ingo Weber;Wil Van Der Aalst;Jan Vom Brocke.
The Blockchain as a Software Connector
Xiwei Xu;Cesare Pautasso;Liming Zhu;Vincent Gramoli.
ieee/ifip international conference on software architecture (2016)
Continuous Integration, Delivery and Deployment: A Systematic Review on Approaches, Tools, Challenges and Practices
Mojtaba Shahin;Muhammad Ali Babar;Liming Zhu.
Software quality and agile methods
Ming Huo;J. Verner;Liming Zhu;M.A. Babar.
A framework for classifying and comparing software architecture evaluation methods
M.A. Babar;L. Zhu;R. Jeffery.
Blockchain Based Data Integrity Service Framework for IoT Data
Bin Liu;Xiao Liang Yu;Shiping Chen;Xiwei Xu.
international conference on web services (2017)
DevOps and Its Practices
Liming Zhu;Len Bass;George Champlin-Scharff.
IEEE Software (2016)
Tradeoff and Sensitivity Analysis in Software Architecture Evaluation Using Analytic Hierarchy Process
Liming Zhu;Aybüke Aurum;Ian Gorton;Ross Jeffery.
Software Quality Journal (2005)
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