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20142025
most citedAn empirical evaluation of ensemble adjustment methods for analogy-based effort estimation

92 citations · 328 across the 17 of their papers we have counts for

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5 papers · 1 filter

cs.SE2018★ 32 cited

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★ 21 cited

A Systematic Study of Cross-Project Defect Prediction With Meta-Learning

Faimison Porto, Leandro Minku, Emilia Mendes +1

The prediction of defects in a target project based on data from external projects is called Cross-Project Defect Prediction (CPDP). Several methods have been proposed to improve t…

cs.SE2018★ 17 cited

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…

cs.SE2017★ 92 cited

An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation

Mohammad Azzeh, Ali Bou Nassif, Leandro L Minku

Objective: This paper investigates the potential of ensemble learning for variants of adjustment methods used in analogy-based effort estimation. The number k of analogies to be us…

cs.SE2014★ 35 cited

The Handbook of Engineering Self-Aware and Self-Expressive Systems

Tao Chen, Funmilade Faniyi, Rami Bahsoon +4

When faced with the task of designing and implementing a new self-aware and self-expressive computing system, researchers and practitioners need a set of guidelines on how to use t…