5 citations · 19 across the 7 of their papers we have counts for
7 papers
Is Hyper-Parameter Optimization Different for Software Analytics?
Rahul Yedida, Tim Menzies
Yes. SE data can have "smoother" boundaries between classes (compared to traditional AI data sets). To be more precise, the magnitude of the second derivative of the loss function…
How to Find Actionable Static Analysis Warnings: A Case Study with FindBugs
Rahul Yedida, Hong Jin Kang, Huy Tu +3
Automatically generated static code warnings suffer from a large number of false alarms. Hence, developers only take action on a small percent of those warnings. To better predict…
How to Improve Deep Learning for Software Analytics (a case study with code smell detection)
Rahul Yedida, Tim Menzies
To reduce technical debt and make code more maintainable, it is important to be able to warn programmers about code smells. State-of-the-art code small detectors use deep learners,…
An Expert System for Redesigning Software for Cloud Applications
Rahul Yedida, Rahul Krishna, Anup Kalia +3
Cloud-based software has many advantages. When services are divided into many independent components, they are easier to update. Also, during peak demand, it is easier to scale clo…
Crowdsourcing the State of the Art(ifacts)
Maria Teresa Baldassarre, Neil Ernst, Ben Hermann +2
In any field, finding the "leading edge" of research is an on-going challenge. Researchers cannot appease reviewers and educators cannot teach to the leading edge of their field if…
Old but Gold: Reconsidering the value of feedforward learners for software analytics
Rahul Yedida, Xueqi Yang, Tim Menzies
There has been an increased interest in the use of deep learning approaches for software analytics tasks. State-of-the-art techniques leverage modern deep learning techniques such…
Simpler Hyperparameter Optimization for Software Analytics: Why, How, When?
Amritanshu Agrawal, Xueqi Yang, Rishabh Agrawal +2
How to make software analytics simpler and faster? One method is to match the complexity of analysis to the intrinsic complexity of the data being explored. For example, hyperparam…