An Empirical Study on Code Coverage of Performance Testing

M Imran, V Cortellessa, D Di Ruscio, R Rubei… - Proceedings of the 28th …, 2024 - dl.acm.org
Performance testing aims to ensure the operational efficiency of software systems. However,
many factors influencing the efficacy and adoption of performance tests in practice are not …

Assessing the Performance of AI-Generated Code: A Case Study on GitHub Copilot

S Li, Y Cheng, J Chen, J Xuan, S He… - 2024 IEEE 35th …, 2024 - ieeexplore.ieee.org
The integration of Large Language Models (LLMs) into software development tools like
GitHub Copilot holds the promise of transforming code generation processes. While AI …

Towards effectively testing machine translation systems from white-box perspectives

H Shao, Z Ding, W Shang, J Yang… - Empirical Software …, 2025 - Springer
Abstract Neural Machine Translation (NMT) has experienced significant growth over the last
decade. Despite these advancements, machine translation systems still face various issues …

Understanding variability in space and time: analyzing features and revisions in concert

FF Sattler - 2023 - publikationen.sulb.uni-saarland.de
The static or dynamic analysis of configurable software systems imposes significant
challenges regarding complexity and computation time due to the software systems' large …

[PDF][PDF] Understanding Variability in Space and Time

F Sattler - se.cs.uni-saarland.de
The static or dynamic analysis of configurable software systems imposes significant
challenges regarding complexity and computation time due to the software systems' large …

Software Performance Modeling for Multi-Factor System Variability

MSS Mühlbauer - ul.qucosa.de
Abstract (DE) Moderne Software-Systeme bieten oft Anpassungsmöglichkeiten, um
Funktionalität und Leistung an spezifische Anforderungen anzupassen. Performance …