International audienceThe goal of this tutorial is to give a gentle introduction to how machine learning can be used to support software product line conguration. This is our second practical tutorial in this trending eld. The tutorial is based on a systematic literature review and includes practical tasks (specialization, performance and bug prediction) on real-world systems (Linux, VaryLaTeX, x264). The material is designed for academics and practitioners with basic knowledge in software product lines and machine learning
Software systems are heavily configurable, in the sense that users can adapt them according to their...
Software product line (SPL) engineers put a lot of effort to ensure that, through the setting of a l...
Background. A software product line is a set of software-intensive systems that share a common, mana...
International audienceThe goal of this tutorial is to give a gentle introduction to how machine lear...
International audienceMost modern software systems (operating systems like Linux or Android, Web bro...
Machine Learning (ML) is the discipline that studies methods for automatically inferring models from...
In the last couple of years we have witnessed an enormous increase of machine learning (ML) applicat...
Almost all of today's software systems are configurable. With the help of options, it is possible to...
Software product line (SPL) engineering allows the derivation of products tailored to stakeholders’ ...
A large scale configurable system typically offers thousands of options or parameters to let the eng...
http://www.leuveninc.com/news/4746/Leuven.Inc_Visionary_seminar_Machine_Learning_for_a_smarter_world...
Software systems are heavily configurable, in the sense that users can adapt them according to their...
Software product line (SPL) engineers put a lot of effort to ensure that, through the setting of a l...
Background. A software product line is a set of software-intensive systems that share a common, mana...
International audienceThe goal of this tutorial is to give a gentle introduction to how machine lear...
International audienceMost modern software systems (operating systems like Linux or Android, Web bro...
Machine Learning (ML) is the discipline that studies methods for automatically inferring models from...
In the last couple of years we have witnessed an enormous increase of machine learning (ML) applicat...
Almost all of today's software systems are configurable. With the help of options, it is possible to...
Software product line (SPL) engineering allows the derivation of products tailored to stakeholders’ ...
A large scale configurable system typically offers thousands of options or parameters to let the eng...
http://www.leuveninc.com/news/4746/Leuven.Inc_Visionary_seminar_Machine_Learning_for_a_smarter_world...
Software systems are heavily configurable, in the sense that users can adapt them according to their...
Software product line (SPL) engineers put a lot of effort to ensure that, through the setting of a l...
Background. A software product line is a set of software-intensive systems that share a common, mana...