Learning software configuration spaces: A systematic literature review
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 …
Firefox or Chrome, video encoders like ffmpeg, x264 or VLC, mobile and cloud applications …
An overview of machine learning techniques in constraint solving
Constraint solving is applied in different application contexts. Examples thereof are the
configuration of complex products and services, the determination of production schedules …
configuration of complex products and services, the determination of production schedules …
Uniform and scalable sampling of highly configurable systems
Many analyses on configurable software systems are intractable when confronted with
colossal and highly-constrained configuration spaces. These analyses could instead use …
colossal and highly-constrained configuration spaces. These analyses could instead use …
Sampling effect on performance prediction of configurable systems: A case study
Numerous software systems are highly configurable and provide a myriad of configuration
options that users can tune to fit their functional and performance requirements (eg …
options that users can tune to fit their functional and performance requirements (eg …
Transfer learning across variants and versions: The case of linux kernel size
With large scale and complex configurable systems, it is hard for users to choose the right
combination of options (ie, configurations) in order to obtain the wanted trade-off between …
combination of options (ie, configurations) in order to obtain the wanted trade-off between …
Feature-oriented defect prediction
S Strüder, M Mukelabai, D Strüber… - Proceedings of the 24th …, 2020 - dl.acm.org
Software errors are a major nuisance in software development and can lead not only to
reputation damages, but also to considerable financial losses for companies. Therefore …
reputation damages, but also to considerable financial losses for companies. Therefore …
BURST: a benchmarking platform for uniform random sampling techniques
We present BURST, a benchmarking platform for uniform random sampling techniques. With
BURST, researchers have a flexible, controlled environment in which they can evaluate the …
BURST, researchers have a flexible, controlled environment in which they can evaluate the …
Uniform and scalable SAT-sampling for configurable systems
Several relevant analyses on configurable software systems remain intractable because
they require examining vast and highly-constrained configuration spaces. Those analyses …
they require examining vast and highly-constrained configuration spaces. Those analyses …
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 …
Learning contextual-variability models
Learning Contextual- Variability Models Page 1 FOCUS: CONTEXTUAL-VARIABILITY
MODELING 64 IEEE SOFTWARE | PUBLISHED BY THE IEEE COMPUTER SOCIETY 0740-7459/17/$33.00 …
MODELING 64 IEEE SOFTWARE | PUBLISHED BY THE IEEE COMPUTER SOCIETY 0740-7459/17/$33.00 …