Machine/deep learning for software engineering: A systematic literature review
Since 2009, the deep learning revolution, which was triggered by the introduction of
ImageNet, has stimulated the synergy between Software Engineering (SE) and Machine …
ImageNet, has stimulated the synergy between Software Engineering (SE) and Machine …
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 …
High-throughput experimentation meets artificial intelligence: a new pathway to catalyst discovery
K McCullough, T Williams, K Mingle… - Physical Chemistry …, 2020 - pubs.rsc.org
High throughput experimentation in heterogeneous catalysis provides an efficient solution to
the generation of large datasets under reproducible conditions. Knowledge extraction from …
the generation of large datasets under reproducible conditions. Knowledge extraction from …
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 …
been deployed. Since it deals with the degree to which an application may be understood …
DeepPerf: Performance prediction for configurable software with deep sparse neural network
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 …
configurations may lead to different runtime performance of the system. As the combination …
White-box analysis over machine learning: Modeling performance of configurable systems
Performance-influence models can help stakeholders understand how and where
configuration options and their interactions influence the performance of a system. With this …
configuration options and their interactions influence the performance of a system. With this …
Emoji-powered sentiment and emotion detection from software developers' communication data
Sentiment and emotion detection from textual communication records of developers have
various application scenarios in software engineering (SE). However, commonly used off …
various application scenarios in software engineering (SE). However, commonly used off …
Unicorn: reasoning about configurable system performance through the lens of causality
Modern computer systems are highly configurable, with the total variability space sometimes
larger than the number of atoms in the universe. Understanding and reasoning about the …
larger than the number of atoms in the universe. Understanding and reasoning about the …
Learning to sample: Exploiting similarities across environments to learn performance models for configurable systems
Most software systems provide options that allow users to tailor the system in terms of
functionality and qualities. The increased flexibility raises challenges for understanding the …
functionality and qualities. The increased flexibility raises challenges for understanding the …
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 …