Scalable Prediction of Non-functional Properties in Software Product Lines

Author:

Siegmund Norbert,Rosenmuller Marko,Kastner Christian,Giarrusso Paolo G.,Apel Sven,Kolesnikov Sergiy S.

Publisher

IEEE

Cited by 36 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Pragmatic Random Sampling of the Linux Kernel: Enhancing the Randomness and Correctness of the conf Tool;28th ACM International Systems and Software Product Line Conference;2024-09-02

2. Learning Graph Configuration Spaces with Graph Embedding in Engineering Domains;Lecture Notes in Computer Science;2024

3. DiagConfig: Configuration Diagnosis of Performance Violations in Configurable Software Systems;Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2023-11-30

4. CoMSA: A Modeling-Driven Sampling Approach for Configuration Performance Testing;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

5. Runtime Performance Prediction for Deep Learning Models with Graph Neural Network;2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP);2023-05

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