123 citations · 443 across the 21 of their papers we have counts for
6 papers · 1 filter
Is One Hyperparameter Optimizer Enough?
Huy Tu, Vivek Nair
Hyperparameter tuning is the black art of automatically finding a good combination of control parameters for a data miner. While widely applied in empirical Software Engineering, t…
Micky: A Cheaper Alternative for Selecting Cloud Instances
Chin-Jung Hsu, Vivek Nair, Tim Menzies +1
Most cloud computing optimizers explore and improve one workload at a time. When optimizing many workloads, the single-optimizer approach can be prohibitively expensive. Accordingl…
Transfer Learning with Bellwethers to find Good Configurations
Vivek Nair, Rahul Krishna, Tim Menzies +1
As software systems grow in complexity, the space of possible configurations grows exponentially. Within this increasing complexity, developers, maintainers, and users cannot keep…
Scout: An Experienced Guide to Find the Best Cloud Configuration
Chin-Jung Hsu, Vivek Nair, Tim Menzies +1
Finding the right cloud configuration for workloads is an essential step to ensure good performance and contain running costs. A poor choice of cloud configuration decreases applic…
Data-Driven Search-based Software Engineering
Vivek Nair, Amritanshu Agrawal, Jianfeng Chen +6
This paper introduces Data-Driven Search-based Software Engineering (DSE), which combines insights from Mining Software Repositories (MSR) and Search-based Software Engineering (SB…
Finding Faster Configurations using FLASH
Vivek Nair, Zhe Yu, Tim Menzies +2
Finding good configurations for a software system is often challenging since the number of configuration options can be large. Software engineers often make poor choices about conf…