Assoc. Prof. Tian Tian

Email: tiantian@sdjzu.edu.cn

 

Research Interests

 

Parallel program testing

Intelligent optimization

Search-based software engineering

 

Education

 

Sep   2010 – Jun 2014

China   University of Mining and Technology, PhD in Control Theory and Control   Engineering

Thesis: Theory of Evolutionary Generation   of Test Data for Message Passing Parallel Programs and Applications

Sep   2007 – Jun 2010

Qufu   Normal University, MSc in Technology of Computer Application

Thesis:   Parallel Computing Model and Task Scheduler in a Heterogeneous   Environment

Sep   2005 – Jun 2007

Qufu   Normal University, BSc in Computer Science and Technology

 

Research Grants

 

  2016 awarded RMB 260,000 from the National Natural Science Foundation of China to explore Automatic Test Data Generation for Communication Edges of Parallel Programs Based on Evolutionary Optimization Methods as the Principal Investigator (PI).

  2020 awarded RMB 100,000 from the National Natural Science Foundation of Shandong Province to explore Path Coverage of Distributed-memory Parallel Programs Based on Set evolution as the Principal Investigator (PI).

 

Selected Publications

 

  Tian T., Yang X, Wang A, Yu X., Gong D*.(2021). Research progress of metamorphic testing and its research prospects in parallel program testing. Ruan Jian Xue Bao/Journal of Software, doi: 10.13328/j.cnki.jos.006425

  Dang X, Gong D*, Yao X*, Tian T.(2021). Enhancement of mutation testing via fuzzy clustering and multi-population genetic algorithm. IEEE Transactions on Software Engineering, doi: 10.1109/TSE.2021.3052987.

  Gong D., Pan F., Tian T.*, Yang S., Meng F.(2020). A feedback-directed method of evolutionary test data generation for parallel programs. Information and Software Technology, 124:106318.

  Gong D., Tian T*, Wang J., Li Z.(2020). A novel method of grouping target paths for parallel programs. Parallel Computing, 97: 102665.

  Sun B, Gong D*, Tian T, Yao X.(2020). Integrating an ensemble surrogate model's estimation into test data generation. IEEE Transactions on Software Engineering, DOI 10.1109/TSE.2020.3019406.

  Tian T., Gong D.*(2020). Survey on mutation testing of concurrent programs. Acta Electronica Sinica,48(11),2267-2277.

  Tian T., Gong D.* Kuo F.C, Liu H.(2019). Genetic algorithm based test data generation for MPI parallel programs with blocking communication. Journal of Systems and Software, 155: 130-144.

  Tian T., Gong D.*(2016). Test data generation for path coverage of message-passing parallel programs based on co-evolutionary genetic algorithms. Automated Software Engineering, 2016, 23(3): 469-500.

  Tian T.*, Gong D*.(2013). Model of Test data generation for path coverage of message-passing parallel programs and its evolution-based solution. Chinese Journal of computers, 36(11): 2212-2223.

  Gong D.W, Tian T*, Yao X.(2012). Grouping target paths for evolutionary generation of test data in parallel. Journal of System and Software, 85(11): 2531-2540.