activity
20242026
collaborators

5 papers

cs.SE2026

ExploreRepair: Evidence-Specialized Agents for Vulnerability Repair under Information Constraints

Duc Manh Tran, Ratnadira Widyasari, Ivana Clairine Irsan +5

Automated vulnerability repair must often operate with incomplete vulnerability information: developers may lack an accurate vulnerability classification or a provided proof-of-vul…

cs.FL2026

An Empirical Comparison of General Context-Free Parsers

Huan Vo, Danushka Liyanage, Hong Jin Kang +2

Parsing underpins a vast range of software engineering tasks, from compilers and static analyzers to language servers and fuzz testing tools. Yet most parsers deployed in practice…

cs.SE2025

Assessing Reliability of Statistical Maximum Coverage Estimators in Fuzzing

Danushka Liyanage, Nelum Attanayake, Zijian Luo +1

Background: Fuzzers are often guided by coverage, making the estimation of maximum achievable coverage a key concern in fuzzing. However, achieving 100% coverage is infeasible for…

cs.FL2025

Example-Free Learning of Regular Languages with Prefix Queries

Eve Fernando, Sasha Rubin, Rahul Gopinath

Language learning refers to the problem of inferring a mathematical model which accurately represents a formal language. Many language learning algorithms learn by asking certain t…

cs.SE2024

Mutation Analysis with Execution Taints

Rahul Gopinath, Philipp Goerz

Mutation analysis is one of the most effective, but costly means of assessing the ability of software test suites to prevent bugs. Traditional mutation analysis involves producing…