姜淑娟,博士畢業于東南大學,獲工學博士學位;美國Georgia Institute of Technology訪問學者。主要從事軟件分析與測試的教學與研究工作。江蘇省“青藍工程”中青年學術帶頭人,江蘇省“333”工程第三層次培養對象。主持完成國家自然科學基金、江蘇省自然科學基金、教育部科學技術研究重點項目、江蘇省“333”工程等項目。
主要學術成果簡介:近年來在Software: Practice and Experience, Journal of Systems and Software, Neurocomputing、IETSoftware、 軟件學報、計算機學報、計算機研究與發展、電子學報、通信學報等期刊上發表論文50余篇,其中SCI收錄論文20余篇,獲國家發明專利5項。
[3]論文名稱: A feature matching and transfer approach for cross-company defect prediction[J]. The Journal of Systems and Software, 2017, 132(10): 366-378, 2017.
[4]論文名稱: Cost-Effective testing based fault localization with distance based test-suite reduction. Science China. September 2017, Vol.60 092112:1—092112:15.
[5]論文名稱: A Multi-Level Feedback Approach for the Class Integration and Test Order Problem. The Journal of Systems & Software 133(11):54-67,2017.
[9]論文名稱:Automatic test data generation based on reduced adaptive particle swarm optimization algorithm,刊物名:Neurocomputing, Volume 158(2015), Pages 109–116.
[12] 論文名稱: An Approach of Class Integration Test Order Determination Based on Test Levels. 刊物名: Software: Practice and Experience,2015; 45(5):657–687.
[13] 論文名稱: HSFal: Effective Fault Localization using Hybrid Spectrum of Full Slices and Execution Slices. 刊物名:Journal of Systems and Software, Volume 90, April 2014,PP 3-17. ISSN 0164-1212.
[14] 論文名稱: An Approach for Test Data Generation Using Program Slicing and Particle Swarm Optimization. 刊物名: Neural Computing and Applications,Volume 25, No.7-8,2014, 2047--2055.