VLDB 2026 Research / reviewers in the wild / expert
Nandakishore Menon
dblp:426/3693
· DBLP profile ↗
3ranked-venue papers
1as first author
3since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 3 · 1 first-author · 3 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Static Analysis Assisted Knowledge Graph Based Automatic Functionality Discovery for Mainframe Applications
Venkata Lakshmana Sasaank Janapati, Atul Kumar 0002, Nandakishore Menon, Sridhar Chimalakonda |
SANER | 3 |
| 2026 | AI-Assisted Semantic Modeling of Languages for Symbolic Execution Driven Unit Test Generation
Mokshith Reddy Tanguturi, Atul Kumar 0002, Nandakishore Menon, Sridhar Chimalakonda |
SANER | 3 |
| 2025 | Evaluating Program Coverage for Code-Model TrainingabstractIn recent years, CodeLLMs have revolutionized the way developers interact with code. One notable application has been program translation, such as converting COBOL to Java or C to Rust. A critical challenge in this domain is ensuring that CodeLLMs are trained on programs that cover all syntactic features of the target language. This issue is especially pronounced for legacy languages like COBOL and ABAP, which are syntactically rich and have limited availability of open-source programs. In this paper, we present a tool for evaluating the syntactic coverage of COBOL programs. At the core of our approach is a representation called the Coverage Tree, which compactly and intuitively captures the syntactic constructs covered by a set of programs. Additionally, the tool can generate code statements to address uncovered syntactic gaps. Experimental results with COBOL benchmarks demonstrate the effectiveness of the tool. Screencast URL: https://youtu.be/lM0KHzcvllY. Nandakishore Menon, Diptikalyan Saha |
ASE | 1 |