activity
20182020
collaborators

6 papers

cs.SE2020

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…

cs.SE2019

Simpler Hyperparameter Optimization for Software Analytics: Why, How, When?

Amritanshu Agrawal, Xueqi Yang, Rishabh Agrawal +3

How can we 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, hyperp…

cs.SE2019

How to "DODGE" Complex Software Analytics?

Amritanshu Agrawal, Wei Fu, Di Chen +2

Machine learning techniques applied to software engineering tasks can be improved by hyperparameter optimization, i.e., automatic tools that find good settings for a learner's cont…

cs.SE2018

Better Software Analytics via "DUO": Data Mining Algorithms Using/Used-by Optimizers

Amritanshu Agrawal, Tim Menzies, Leandro L. Minku +2

This paper claims that a new field of empirical software engineering research and practice is emerging: data mining using/used-by optimizers for empirical studies or DUO. For examp…

cs.SE2018

Can You Explain That, Better? Comprehensible Text Analytics for SE Applications

Amritanshu Agrawal, Huy Tu, Tim Menzies

Text mining methods are used for a wide range of Software Engineering (SE) tasks. The biggest challenge of text mining is high dimensional data, i.e., a corpus of documents can con…

cs.SE2018

Building Better Quality Predictors Using "-Dominance"

Wei Fu, Tim Menzies, Di Chen +1

Despite extensive research, many methods in software quality prediction still exhibit some degree of uncertainty in their results. Rather than treating this as a problem, this pape…