Partial Marking for Automated Grading of SQL Queries
Summary: Extends XData from correctness testing to automated partial-credit grading of incorrect SQL queries. Compares queries using semantic and structural features beyond syntax, enabling scalable assessment for large classes and MOOCs. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Bikash Chandra (Indian Institute of Technology Mumbai)
- 2. Mathew Joseph (Indian Institute of Technology Mumbai)
- 3. Bharath Radhakrishnan (Amazon India; Indian Institute of Technology Mumbai)
- 4. Shreevidhya Acharya (Indian Institute of Technology Mumbai)
- 5. S. Sudarshan (Indian Institute of Technology Mumbai)
BibTeX Citation
@article{chandra_vldb16,
title = {{Partial Marking for Automated Grading of SQL Queries}},
author = {Chandra, Bikash and Joseph, Mathew and Radhakrishnan, Bharath and Acharya, Shreevidhya and Sudarshan, S.},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {13},
pages = {1541--1544},
doi = {10.14778/3007263.3007270},
url = {https://doi.org/10.14778/3007263.3007270},
year = {2016}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,538 | A Combined Framework for Grouping and Order Optimization | 2004 | VLDB | 7.3287689e-05 |
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