A comprehensive empirical study of bias mitigation methods for machine learning classifiers

Z Chen, JM Zhang, F Sarro, M Harman - ACM transactions on software …, 2023 - dl.acm.org
Software bias is an increasingly important operational concern for software engineers. We
present a large-scale, comprehensive empirical study of 17 representative bias mitigation …

Validating software metrics: A spectrum of philosophies

A Meneely, B Smith, L Williams - ACM Transactions on Software …, 2013 - dl.acm.org
Context. Researchers proposing a new metric have the burden of proof to demonstrate to
the research community that the metric is acceptable in its intended use. This burden of …

[KNIHA][B] Teaching and researching language learning strategies: Self-regulation in context

RL Oxford - 2016 - taylorfrancis.com
Now in its second edition, Teaching and Researching Language Learning Strategies: Self-
Regulation in Context charts the field systematically and coherently for the benefit of …

[KNIHA][B] Experimentation in software engineering

C Wohlin, P Runeson, M Höst, MC Ohlsson, B Regnell… - 2012 - Springer
Have you ever had a need to evaluate software engineering methods or techniques against
each other? This book presents experimentation as one way of evaluating new methods and …

[KNIHA][B] Basics of software engineering experimentation

N Juristo, AM Moreno - 2013 - books.google.com
Basics of Software Engineering Experimentation is a practical guide to experimentation in a
field which has long been underpinned by suppositions, assumptions, speculations and …

The twenty-first century landscape of language learning strategies: Introduction to this special issue

C Griffiths, RL Oxford - System, 2014 - Elsevier
This article provides an introduction to the state of the art of language learning strategies in
the twenty-first century–a panoramic view of the international landscape of strategies. In the …

Building knowledge through families of experiments

VR Basili, F Shull, F Lanubile - IEEE Transactions on Software …, 1999 - ieeexplore.ieee.org
Experimentation in software engineering is necessary but difficult. One reason is that there
are a large number of context variables and, so, creating a cohesive understanding of …

Studying software engineers: Data collection techniques for software field studies

TC Lethbridge, SE Sim, J Singer - Empirical software engineering, 2005 - Springer
Software engineering is an intensively people-oriented activity, yet too little is known about
how designers, maintainers, requirements analysts and all other types of software engineers …

Property-based software engineering measurement

LC Briand, S Morasca, VR Basili - IEEE transactions on …, 2002 - ieeexplore.ieee.org
Little theory exists in the field of software system measurement. Concepts such as
complexity, coupling, cohesion or even size are very often subject to interpretation and …

An evaluation of the MOOD set of object-oriented software metrics

R Harrison, SJ Counsell, RV Nithi - IEEE Transactions on …, 1998 - ieeexplore.ieee.org
This paper describes the results of an investigation into a set of metrics for object-oriented
design, called the MOOD metrics. The merits of each of the six MOOD metrics is discussed …