Deep learning-based software engineering: progress, challenges, and opportunities
Researchers have recently achieved significant advances in deep learning techniques,
which in turn has substantially advanced other research disciplines, such as natural …
which in turn has substantially advanced other research disciplines, such as natural …
KAT: Dependency-aware automated API testing with large language models
API testing has increasing demands for software companies. Prior API testing tools were
aware of certain types of dependencies that needed to be concise between operations and …
aware of certain types of dependencies that needed to be concise between operations and …
Tool report: EvoMaster—black and white box search-based fuzzing for REST, GraphQL and RPC APIs
In this paper, we present the latest version 3.0. 0 of EvoMaster, an open-source search-
based fuzzer aimed at Web APIs. We discuss and present all its recent improvements …
based fuzzer aimed at Web APIs. We discuss and present all its recent improvements …
Seeding and Mocking in White-Box Fuzzing Enterprise RPC APIs: An Industrial Case Study
Microservices is now becoming a promising architecture to build large-scale web services in
industry. Due to the high complexity of enterprise microservices, industry has an urgent need …
industry. Due to the high complexity of enterprise microservices, industry has an urgent need …
Advanced white-box heuristics for search-based fuzzing of rest apis
Due to its importance and widespread use in industry, automated testing of REST APIs has
attracted major interest from the research community in the last few years. However, most of …
attracted major interest from the research community in the last few years. However, most of …
DeepREST: Automated Test Case Generation for REST APIs Exploiting Deep Reinforcement Learning
Automatically crafting test scenarios for REST APIs helps deliver more reliable and
trustworthy web-oriented systems. However, current black-box testing approaches rely …
trustworthy web-oriented systems. However, current black-box testing approaches rely …
Adaptive rest api testing with reinforcement learning
Modern web services increasingly rely on REST APIs. Effectively testing these APIs is
challenging due to the vast search space to be explored, which involves selecting API …
challenging due to the vast search space to be explored, which involves selecting API …
APIstic: a large collection of OpenAPI metrics
In the rapidly evolving landscape of web services, the significance of efficiently designed
and well-documented APIs is paramount. In this paper, we present APIstic an API analytics …
and well-documented APIs is paramount. In this paper, we present APIstic an API analytics …
Fuzzing frameworks for server-side web applications: a survey
IPA Dharmaadi, E Athanasopoulos… - International Journal of …, 2025 - Springer
There are around 5.3 billion Internet users, amounting to 65.7% of the global population,
and web technology is the backbone of the services delivered via the Internet. To ensure …
and web technology is the backbone of the services delivered via the Internet. To ensure …
Leveraging large language models to improve REST API testing
The widespread adoption of REST APIs, coupled with their growing complexity and size, has
led to the need for automated REST API testing tools. Current tools focus on the structured …
led to the need for automated REST API testing tools. Current tools focus on the structured …