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20232026
most citedCauses and Effects of Fitness Landscapes in System Test Generation: A Replication Study

2 citations · 3 across the 11 of their papers we have counts for

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6 papers · 1 filter

cs.SE2026

Detecting HTTP Status Code Misuses in REST APIs via Static and Dynamic Analysis

Alix Decrop, Andrea Arcuri, Mike Papadakis +2

REST APIs are widely used on the web for client-server communications. As REST is based on HTTP, server responses contain status codes to indicate the outcome of requests (e.g., 20…

cs.SE2026

Validating HTTP Semantics in REST APIs With Constructed Call Sequence Scenarios

Omur Sahin, Andrea Arcuri

Context: REST APIs are widely used in industry. These APIs use HTTP for their communications. Failures in following the specifications of HTTP can lead to confusing and hard to use…

cs.SE2026

Using OAI Overlay to Enhance REST API Fuzzing

Omur Sahin, Man Zhang, Alexander Poth +6

REST APIs are widely used in industry. Therefore, a lot of research has been focused on how to automatically generate test cases for REST APIs, with few different open-source fuzze…

cs.SE2026

Enhancing REST API Fuzzing with Access Policy Violation Checks and Injection Attacks

Omur Sahin, Man Zhang, Andrea Arcuri

Due to their widespread use in industry, several techniques have been proposed in the literature to fuzz REST APIs. Existing fuzzers for REST APIs have been focusing on detecting c…

cs.SE2026

Detecting and Mitigating Flakiness in REST API Fuzzing

Man Zhang, Chongyang Shen, Andrea Arcuri +1

Test flakiness is a common problem in industry, which hinders the reliability of automated build and testing workflows. Most existing research on test flakiness has primarily focus…

cs.SE2026

Fuzzing Microservices in Face of Intrinsic Uncertainties

Man Zhang, Tao Yue, Andrea Arcuri

The widespread adoption of microservices has fundamentally transformed how modern software systems are designed, deployed, operated and maintained. However, well-known microservice…