Dimensions of software configuration: on the configuration context in modern software development
With the rise of containerization, cloud development, and continuous integration and
delivery, configuration has become an essential aspect not only to tailor software to user …
delivery, configuration has become an essential aspect not only to tailor software to user …
The interplay of compile-time and run-time options for performance prediction
Many software projects are configurable through compile-time options (eg, using./configure)
and also through run-time options (eg, command-line parameters, fed to the software at …
and also through run-time options (eg, command-line parameters, fed to the software at …
Source selection in transfer learning for improved service performance predictions
Learning performance models for network and cloud services is challenging due to the
dynamics of the operational environment stemming from network changes, and scaling and …
dynamics of the operational environment stemming from network changes, and scaling and …
Navigating the maze: the impact of configurability in bioinformatics software
The bioinformatics software domain contains thousands of applications for automating tasks
such as the pairwise alignment of DNA sequences, building and reasoning about metabolic …
such as the pairwise alignment of DNA sequences, building and reasoning about metabolic …
Lifelong dynamic optimization for self-adaptive systems: Fact or fiction?
T Chen - 2022 IEEE International Conference on Software …, 2022 - ieeexplore.ieee.org
When faced with changing environment, highly-configurable software systems need to
dynamically search for promising adaptation plan that keeps the best possible performance …
dynamically search for promising adaptation plan that keeps the best possible performance …
Performance prediction in dynamic clouds using transfer learning
F Moradi, R Stadler, A Johnsson - 2019 IFIP/IEEE Symposium …, 2019 - ieeexplore.ieee.org
Learning a performance model for a cloud service is challenging since its operational
environment changes during execution, which requires re-training of the model in order to …
environment changes during execution, which requires re-training of the model in order to …
Model-based adaptation for robotics software
Model-Based Adaptation for Robotics Software Page 1 0740-7459/19©2019IEEE MARCH/APRIL
2019 | IEEE SOFTWARE 83 FOCUS: BUILDING LONG-LIVED ADAPTIVE SYSTEMS MOBILE …
2019 | IEEE SOFTWARE 83 FOCUS: BUILDING LONG-LIVED ADAPTIVE SYSTEMS MOBILE …
Learning very large configuration spaces: What matters for linux kernel sizes
Linux kernels are used in a wide variety of appliances, many of them having strong
requirements on the kernel size due to constraints such as limited memory or instant boot …
requirements on the kernel size due to constraints such as limited memory or instant boot …
Generative AI for Reengineering Variants into Software Product Lines: An Experience Report
M Acher, J Martinez - Proceedings of the 27th ACM International …, 2023 - dl.acm.org
The migration and reengineering of existing variants into a software product line (SPL) is an
error-prone and time-consuming activity. Many extractive approaches have been proposed …
error-prone and time-consuming activity. Many extractive approaches have been proposed …
An exploratory study of log placement recommendation in an enterprise system
Logging is a development practice that plays an important role in the operations and
monitoring of complex systems. Developers place log statements in the source code and …
monitoring of complex systems. Developers place log statements in the source code and …