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Abstract Although the study of software transparency has deep roots in software engineering, a shared definition and practical application in real-world development contexts remain elusive. Through an in-depth analysis of the academic and industrial landscape, this article provides an overview of the current state of knowledge on software transparency, outlining a path to a deeper understanding of the subject for both developers and researchers.

Abstract The rising popularity of the microservice architectural style has led to a growing demand for automated testing approaches tailored to these systems. EvoMaster is a state-of-the-art tool that uses Evolutionary Algorithms (EAs) to automatically generate test cases for microservices’ REST APIs.

Knowledge distillation compresses large language models (LLMs) into more compact and efficient versions that achieve similar accuracy …

Abstract DRVN is a regression testing tool that aims to diversify the test scenarios (road maps) to execute for testing and validating self-driving cars. DRVN harnesses the power of convolutional neural networks to identify possible failing roads in a set of generated examples before applying a greedy algorithm that selects and prioritizes the most diverse roads during regression testing.

Abstract Byzantine fault tolerant algorithms are critical for achieving consistency and reliability in distributed systems, especially in the presence of faults or adversarial behavior. The consensus algorithm used by the XRP Ledger falls into this category.

Self-driving cars face significant testing challenges, constrained by high costs and limited test environments. This necessitates …

Search-based test case generation approaches make use of static type information to determine which data types should be used for the …

Compiler correctness is a cornerstone of reliable software development. However, systematic testing of compilers is infeasible, given …