2023 - Research.com Computer Science in China Leader Award
Tao Xie mainly investigates Software, Software engineering, Software development, Programming language and Software system. His research integrates issues of Machine learning, World Wide Web and Natural language, Artificial intelligence in his study of Software. His Software engineering study integrates concerns from other disciplines, such as Correctness, Access control, Consistency, Component-based software engineering and Software quality.
His Software development research incorporates themes from Class, Scalability, Unit testing and Automatic test pattern generation. His study looks at the relationship between Programming language and fields such as Random testing, as well as how they intersect with chemical problems. The various areas that Tao Xie examines in his Software system study include Bug tracking system, End user, Data science and Source code.
His main research concerns Software engineering, Software, Programming language, Software development and World Wide Web. His Software engineering research is multidisciplinary, incorporating elements of Test strategy and Software performance testing, Software construction. The Software study which covers Data mining that intersects with Code coverage.
His study in Source code, Unit testing, Object-oriented programming, Software system and Java is carried out as part of his studies in Programming language. The concepts of his Source code study are interwoven with issues in Database and Code. He works mostly in the field of Unit testing, limiting it down to topics relating to Symbolic execution and, in certain cases, Theoretical computer science.
Tao Xie spends much of his time researching Artificial intelligence, Software engineering, Software, Software deployment and Machine learning. Tao Xie combines subjects such as Java, Peer reviewing and Tracing with his study of Software engineering. His Java study deals with Test prioritization intersecting with Code and Regression testing.
Debugging is closely connected to Data mining in his research, which is encompassed under the umbrella topic of Software. His Software deployment study combines topics from a wide range of disciplines, such as Distributed computing, Delta Debugging, Construct, World Wide Web and Microservices. Tao Xie has researched Natural language in several fields, including Semantics, Regular expression, Programming language and Test case.
His scientific interests lie mostly in Software engineering, Debugging, Microservices, Software and Artificial intelligence. His Software engineering study combines topics in areas such as Test suite, User interface and Code coverage. His study in Debugging is interdisciplinary in nature, drawing from both Software fault tolerance and Data mining.
Tao Xie works mostly in the field of Software fault tolerance, limiting it down to topics relating to Ranking and, in certain cases, Source code, as a part of the same area of interest. His studies deal with areas such as Field and Dependability as well as Software. His research links Machine learning with Artificial intelligence.
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.
An approach to detecting duplicate bug reports using natural language and execution information
Xiaoyin Wang;Lu Zhang;Tao Xie;John Anvik.
international conference on software engineering (2008)
Parseweb: a programmer assistant for reusing open source code on the web
Suresh Thummalapenta;Tao Xie.
automated software engineering (2007)
MAPO: Mining and Recommending API Usage Patterns
Hao Zhong;Tao Xie;Lu Zhang;Jian Pei.
european conference on object oriented programming (2009)
WHYPER: towards automating risk assessment of mobile applications
Rahul Pandita;Xusheng Xiao;Wei Yang;William Enck.
usenix security symposium (2013)
A grey-box approach for automated GUI-model generation of mobile applications
Wei Yang;Mukul R. Prasad;Tao Xie.
fundamental approaches to software engineering (2013)
Symstra: a framework for generating object-oriented unit tests using symbolic execution
Tao Xie;Darko Marinov;Wolfram Schulte;David Notkin.
tools and algorithms for construction and analysis of systems (2005)
Mining API patterns as partial orders from source code: from usage scenarios to specifications
Mithun Acharya;Tao Xie;Jian Pei;Jun Xu.
foundations of software engineering (2007)
Fitness-guided path exploration in dynamic symbolic execution
Tao Xie;Nikolai Tillmann;Jonathan de Halleux;Wolfram Schulte.
dependable systems and networks (2009)
MAPO: mining API usages from open source repositories
Tao Xie;Jian Pei.
mining software repositories (2006)
AppContext: differentiating malicious and benign mobile app behaviors using context
Wei Yang;Xusheng Xiao;Benjamin Andow;Sihan Li.
international conference on software engineering (2015)
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