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Journal Articles
- 2022
[j4]Bikash Chandra, S. Sudarshan:
Automated Grading of SQL Queries. IEEE Data Eng. Bull. 45(3): 17-28 (2022)- 2017
- [j3]Bikash Chandra, S. Sudarshan:
Runtime Optimization of Join Location in Parallel Data Management Systems. Proc. VLDB Endow. 10(11): 1490-1501 (2017) - 2016
- [j2]Bikash Chandra, Mathew Joseph, Bharath Radhakrishnan, Shreevidhya Acharya, S. Sudarshan:
Partial Marking for Automated Grading of SQL Queries. Proc. VLDB Endow. 9(13): 1541-1544 (2016) - 2015
- [j1]Bikash Chandra
, Bhupesh Chawda, Biplab Kar, K. V. Maheshwara Reddy, Shetal Shah, S. Sudarshan:
Data generation for testing and grading SQL queries. VLDB J. 24(6): 731-755 (2015)
Conference and Workshop Papers
- 2023
- [c10]Konstantinos Chasialis, Srinivas Karthik Venkatesh, Bikash Chandra, Anastasia Ailamaki:
Predicting Query Execution Time for JIT Compiled Database Engines. CIDR 2023 - 2022
- [c9]Vasilis Mageirakos, Riccardo Mancini, Srinivas Karthik, Bikash Chandra, Anastasia Ailamaki:
Efficient GPU-accelerated Join Optimization for Complex Queries. ICDE 2022: 3190-3193 - [c8]Riccardo Mancini, Srinivas Karthik, Bikash Chandra, Vasilis Mageirakos, Anastasia Ailamaki:
Efficient Massively Parallel Join Optimization for Large Queries. SIGMOD Conference 2022: 122-135 - 2021
- [c7]Bikash Chandra, Ananyo Banerjee, Udbhas Hazra, Mathew Joseph, S. Sudarshan:
Edit Based Grading of SQL Queries. COMAD/CODS 2021: 56-64 - [c6]Haoqiong Bian, Bikash Chandra, Ioannis Mytilinis, Anastasia Ailamaki:
Storage Management in Smart Data Lake. EDBT/ICDT Workshops 2021 - 2019
- [c5]Bikash Chandra, Ananyo Banerjee, Udbhas Hazra, Mathew Joseph, S. Sudarshan:
Automated Grading of SQL Queries. ICDE 2019: 1630-1633 - 2018
- [c4]Pooja Agrawal, Bikash Chandra, K. Venkatesh Emani, Neha Garg, S. Sudarshan:
Test Data Generation for Database Applications. ICDE 2018: 1621-1624 - 2017
- [c3]Lalitha Viswanathan, Bikash Chandra, Willis Lang, Karthik Ramachandra, Jignesh M. Patel, Ajay Kalhan, David J. DeWitt, Alan Halverson:
Predictive Provisioning: Efficiently Anticipating Usage in Azure SQL Database. ICDE 2017: 1111-1116 - 2015
- [c2]Amol Bhangdiya, Bikash Chandra, Biplab Kar, Bharath Radhakrishnan, K. V. Maheshwara Reddy, Shetal Shah, S. Sudarshan:
The XDa-TA system for automated grading of SQL query assignments. ICDE 2015: 1468-1471 - 2013
- [c1]Bikash Chandra, Bhupesh Chawda, Shetal Shah, S. Sudarshan, Ankit Shah:
Extending XData to kill SQL query mutants in the wild. DBTest 2013: 2:1-2:6
Informal and Other Publications
- 2022
- [i4]Riccardo Mancini, Srinivas Karthik Venkatesh, Bikash Chandra, Vasilis Mageirakos, Anastasia Ailamaki:
Efficient Massively Parallel Join Optimization for Large Queries. CoRR abs/2202.13511 (2022) - 2019
- [i3]Bikash Chandra, Ananyo Banerjee, Udbhas Hazra, Mathew Joseph, S. Sudarshan:
Edit Based Grading of SQL Queries. CoRR abs/1912.09019 (2019) - 2017
- [i2]Bikash Chandra, S. Sudarshan:
Runtime Optimization of Join Location in Parallel Data Management Systems. CoRR abs/1703.01148 (2017) - 2014
- [i1]Bikash Chandra, Amol Bhangadia, Bhupesh Chawda, Biplab Kar, K. V. Maheshwara Reddy, Shetal Shah, S. Sudarshan:
Data Generation for Testing and Grading SQL Queries. CoRR abs/1411.6704 (2014)
Coauthor Index
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