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20202023
most citedUnderstanding the Nature of System-Related Issues in Machine Learning Frameworks: An Exploratory Study

3 citations · 10 across the 10 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.SE2021

Automated Support for Unit Test Generation: A Tutorial Book Chapter

Afonso Fontes, Gregory Gay, Francisco Gomes de Oliveira Neto +1

Unit testing is a stage of testing where the smallest segment of code that can be tested in isolation from the rest of the system - often a class - is tested. Unit tests are typica…

cs.AI2021

Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVL

Hamid Ebadi, Mahshid Helali Moghadam, Markus Borg +3

With the growing capabilities of autonomous vehicles, there is a higher demand for sophisticated and pragmatic quality assurance approaches for machine learning-enabled systems in…

cs.DL2021

Mapping the Structure and Evolution of Software Testing Research Over the Past Three Decades

Alireza Salahirad, Gregory Gay, Ehsan Mohammadi

Background: The field of software testing is growing and rapidly-evolving. Aims: Based on keywords assigned to publications, we seek to identify predominant research topics and und…

cs.SE2021

Using Machine Learning to Generate Test Oracles: A Systematic Literature Review

Afonso Fontes, Gregory Gay

Machine learning may enable the automated generation of test oracles. We have characterized emerging research in this area through a systematic literature review examining oracle t…

cs.SE2021

Learning How to Search: Generating Effective Test Cases Through Adaptive Fitness Function Selection

Hussein Almulla, Gregory Gay

Search-based test generation is guided by feedback from one or more fitness functions - scoring functions that judge solution optimality. Choosing informative fitness functions is…