This paper provides a survey of the emerging area of Large Language Models (LLMs) for
Software Engineering (SE). It also sets out open research challenges for the application of …

Coverage-based greybox fuzzing (CGF) is one of the most successful approaches for
automated vulnerability detection. Given a seed file (as a sequence of bits), a CGF randomly …

Given the growing importance of smart contracts in various applications, ensuring their
security and reliability is critical. Fuzzing, an effective vulnerability detection technique, has …

TestGen automatically generates unit tests, carved from serialized observations of complex
objects, observed during app execution. We describe the development and deployment of …

There have been rapid recent developments in automated software test design, repair and
program improvement. Advances in artificial intelligence also have great potential impact to …

Security protocols are crucial for ensuring communication security and safeguarding data
integrity in computer networks and distributed systems. The complexity of security protocol …

Vulnerability management strategy, from both organizational and public policy perspectives,
hinges on an understanding of the supply of undiscovered vulnerabilities. If the number of …

The rapid development of large language models (LLMs) with advanced programming
capabilities has paved the way for innovative approaches in software testing. Fuzz testing, a …

We present a novel tool BertRLFuzzer, a BERT and Reinforcement Learning (RL) based
fuzzer aimed at finding security vulnerabilities for Web applications. BertRLFuzzer works as …

Apache Flink is an open-source, soft real-time stream processing framework underlying
many modern systems dealing with cloud and real-time computing, data analytics, and the …