Nandakishore Menon

dblp:426/3693 · DBLP profile ↗
← Back
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
YearPublicationVenuePosition
2026 Static Analysis Assisted Knowledge Graph Based Automatic Functionality Discovery for Mainframe Applications
Venkata Lakshmana Sasaank Janapati, Atul Kumar 0002, Nandakishore Menon, Sridhar Chimalakonda
SANER3
2026 AI-Assisted Semantic Modeling of Languages for Symbolic Execution Driven Unit Test Generation
Mokshith Reddy Tanguturi, Atul Kumar 0002, Nandakishore Menon, Sridhar Chimalakonda
SANER3
2025 Evaluating Program Coverage for Code-Model Training
abstract
In 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
ASE1