activity
20202026
most citedEvaluating Representation Learning of Code Changes for Predicting Patch Correctness in Program Repair

6 citations · 10 across the 10 of their papers we have counts for

collaborators

13 papers

cs.SE2026

Correctness isnt Efficiency: Runtime Memory Divergence in LLM-Generated Code

Prateek Rajput, Yewei Song, Abdoul Aziz Bonkoungou +4

Large language models (LLMs) can generate programs that pass unit tests, but passing tests does not guarantee reliable runtime behavior. We find that different correct solutions to…

cs.PL2025

Dynamic Stability of LLM-Generated Code

Prateek Rajput, Abdoul Aziz Bonkoungou, Yewei Song +4

Current evaluations of LLMs for code generation emphasize functional correctness, overlooking the fact that functionally correct solutions can differ significantly in algorithmic c…

cs.SE2025

Characterizing Build Compromises Through Vulnerability Disclosure Analysis

Maimouna Tamah Diao, Moustapha Awwalou Diouf, Iyiola Emmanuel Olatunji +4

The software build process transforms source code into deployable artifacts, representing a critical yet vulnerable stage in software development. Build infrastructure security pos…

cs.SE2025

Beyond Language Barriers: Multi-Agent Coordination for Multi-Language Code Generation

Micheline Bénédicte Moumoula, Serge Lionel Nikiema, Albérick Euraste Djire +3

Producing high-quality code across multiple programming languages is increasingly important as today's software systems are built on heterogeneous stacks. Large language models (LL…

cs.CR2025

Security Evaluation of Android apps in budget African Mobile Devices

Alioune Diallo, Anta Diop, Abdoul Kader Kabore +4

Android's open-source nature facilitates widespread smartphone accessibility, particularly in price-sensitive markets. System and vendor applications that come pre-installed on bud…

cs.CR20251 cited

Detection of security smells in IaC scripts through semantics-aware code and language processing

Aicha War, Adnan A. Rawass, Abdoul K. Kabore +3

Infrastructure as Code (IaC) automates the provisioning and management of IT infrastructure through scripts and tools, streamlining software deployment. Prior studies have shown th…