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20162022
most citedTuning for Software Analytics: is it Really Necessary?

218 citations · 448 across the 18 of their papers we have counts for

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Showing cs.SEShow all

6 papers · 1 filter

cs.SE2021

Faster SAT Solving for Software with Repeated Structures (with Case Studies on Software Test Suite Minimization)

Jianfeng Chen, Xipeng Shen, Tim Menzies

Theorem provers has been used extensively in software engineering for software testing or verification. However, software is now so large and complex that additional architecture i…

cs.SE2020★ 1 cited

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★ 52 cited

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★ 32 cited

Hyperparameter Optimization for Effort Estimation

Tianpei Xia, Rahul Krishna, Jianfeng Chen +3

Software analytics has been widely used in software engineering for many tasks such as generating effort estimates for software projects. One of the "black arts" of software analyt…

cs.SE2018★ 3 cited

Why Software Effort Estimation Needs SBSE

Tianpei Xia, Jianfeng Chen, George Mathew +2

Industrial practitioners now face a bewildering array of possible configurations for effort estimation. How to select the best one for a particular dataset? This paper introduces O…

cs.SE2016★ 218 cited

Tuning for Software Analytics: is it Really Necessary?

Wei Fu, Tim Menzies, Xipeng Shen

Context: Data miners have been widely used in software engineering to, say, generate defect predictors from static code measures. Such static code defect predictors perform well co…