In the past five years there has been a dramatic increase in work on Search-Based Software
Engineering (SBSE), an approach to Software Engineering (SE) in which Search-Based …

Unfair behaviors of Machine Learning (ML) software have garnered increasing attention and
concern among software engineers. To tackle this issue, extensive research has been …

This paper provides a comprehensive survey of techniques for testing machine learning
systems; Machine Learning Testing (ML testing) research. It covers 144 papers on testing …

Machine Learning (ML) software can lead to unfair and unethical decisions, making software
fairness bugs an increasingly significant concern for software engineers. However …

Software bias is an increasingly important operational concern for software engineers. We
present a large-scale, comprehensive empirical study of 17 representative bias mitigation …

Search-based optimization techniques have been applied to structural software test data
generation since 1992, with a recent upsurge in interest and activity within this area …

Abstract The aim of Search Based Software Engineering (SBSE) research is to move
software engineering problems from human-based search to machine-based search, using …

In the past five years there has been a dramatic increase in work on Search Based Software
Engineering (SBSE), an approach to software engineering in which search based …

A goal of software engineering research is advancing software quality and the success of
the software engineering process. However, while recent studies have demonstrated a new …

Recent years have witnessed a large amount of decentralized data in multiple (edge)
devices of end-users, while the aggregation of the decentralized data remains difficult for …