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Nachiappan Nagappan
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My research has been in the field of Data Analytics and Machine Learning for Software Engineering focusing on Analytics for Empirical Software Engineering, Software Reliability, Software Metrics, and Developer Productivity. My research projects are fairly interdisciplinary and span the spectrum of software analytics ranging from intelligent software design for games; identifying data center reliability to individual developer and team productivity. More recently my work has focused on the intersection of SE and AI.
2021年当选IEEE Fellow
ACM Fellow in 2020
2021年当选IEEE Fellow
ACM Fellow in 2020
Papers190 papers
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Inf. Softw. Technol., (2020): 106408
Denae Ford, Margaret-Anne Storey,Thomas Zimmermann,Christian Bird, Sonia Jaffe, Chandra Maddila, Jenna L. Butler, Brian Houck,Nachiappan Nagappan
ASE 2020, (2020)
ESEM, (2020)
Xiang Gao, Shraddha Barke, Arjun Radhakrishna, Gustavo Soares, Sumit Gulwani, Alan Leung,Nachiappan Nagappan, Ashish Tiwari
Proceedings of the ACM on Programming Languages, no. OOPSLA (2020): 1-30
Proceedings of the 17th International Conference on Mining Software Repositories, pp.431-442, (2020)
Chandra Maddila, Sai Surya Upadrasta, Chetan Bansal,Nachiappan Nagappan,Georgios Gousios,Arie van Deursen
Paulo Anselmo da Mota Silveira Neto, Umme Ayda Mannan, Eduardo Santana de Almeida,Nachiappan Nagappan, David Lo, Pavneet Singh Kochhar, Cuiyun Gao, Iftekhar Ahmed
ESEC/SIGSOFT FSE, pp.874-882, (2019)
IEEE Transactions on Software Engineering, pp.1-1, (2019)
Cited by2Bibtex
Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Sof..., pp.46-55, (2019)
Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Pr..., pp.291-300, (2019)
arXiv, pp.arXiv: 1912.09519, (2019)
Proceedings of the 41st International Conference on Software Engineering, pp.408-418, (2019)
ESEM, pp.22:1-22:8, (2018)
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