Learning software configuration spaces: A systematic literature review

JA Pereira, M Acher, H Martin, JM Jézéquel… - Journal of Systems and …, 2021 - Elsevier
Most modern software systems (operating systems like Linux or Android, Web browsers like
Firefox or Chrome, video encoders like ffmpeg, x264 or VLC, mobile and cloud applications …

Deep learning approach for software maintainability metrics prediction

S Jha, R Kumar, M Abdel-Basset, I Priyadarshini… - Ieee …, 2019 - ieeexplore.ieee.org
Software maintainability predicts changes or failures that may occur in software after it has
been deployed. Since it deals with the degree to which an application may be understood …

Finding Faster Configurations Using FLASH

V Nair, Z Yu, T Menzies, N Siegmund… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Finding good configurations of a software system is often challenging since the number of
configuration options can be large. Software engineers often make poor choices about …

Uniform and scalable sampling of highly configurable systems

R Heradio, D Fernandez-Amoros, JA Galindo… - Empirical Software …, 2022 - Springer
Many analyses on configurable software systems are intractable when confronted with
colossal and highly-constrained configuration spaces. These analyses could instead use …

Maintainability challenges in ML: A systematic literature review

K Shivashankar, A Martini - 2022 48th Euromicro Conference …, 2022 - ieeexplore.ieee.org
Background: As Machine Learning (ML) advances rapidly in many fields, it is being adopted
by academics and businesses alike. However, ML has a number of different challenges in …

Distance-based sampling of software configuration spaces

C Kaltenecker, A Grebhahn… - 2019 IEEE/ACM 41st …, 2019 - ieeexplore.ieee.org
Configurable software systems provide a multitude of configuration options to adjust and
optimize their functional and non-functional properties. For instance, to find the fastest …

Causality in configurable software systems

C Dubslaff, K Weis, C Baier, S Apel - Proceedings of the 44th …, 2022 - dl.acm.org
Detecting and understanding reasons for defects and inadvertent behavior in software is
challenging due to their increasing complexity. In configurable software systems, the …

Efficient compiler autotuning via bayesian optimization

J Chen, N Xu, P Chen, H Zhang - 2021 IEEE/ACM 43rd …, 2021 - ieeexplore.ieee.org
A typical compiler such as GCC supports hundreds of optimizations controlled by
compilation flags for improving the runtime performance of the compiled program. Due to the …

DeepPerf: Performance prediction for configurable software with deep sparse neural network

H Ha, H Zhang - 2019 IEEE/ACM 41st International Conference …, 2019 - ieeexplore.ieee.org
Many software systems provide users with a set of configuration options and different
configurations may lead to different runtime performance of the system. As the combination …

White-box analysis over machine learning: Modeling performance of configurable systems

M Velez, P Jamshidi, N Siegmund… - 2021 IEEE/ACM …, 2021 - ieeexplore.ieee.org
Performance-influence models can help stakeholders understand how and where
configuration options and their interactions influence the performance of a system. With this …