Software testing in the machine learning era: Special issue of the empirical Software Engineering (EMSE) journal

Andrea Stocco; Onn Shehory; Gunel Jahangirova; Vincenzo Riccio; Guy Barash; Eitan Farchi; Diptikalyan Saha

doi:10.1007/s10664-023-10326-7

Software testing in the machine learning era: Special issue of the empirical Software Engineering (EMSE) journal

Andrea Stocco
, Onn Shehory
, Gunel Jahangirova
, Vincenzo Riccio
, Guy Barash
, Eitan Farchi
, Diptikalyan Saha

School of Business Administration

Bar-Ilan University

Research output: Contribution to journal › Editorial

Original language	English
Article number	74
Journal	Empirical Software Engineering
Volume	28
Issue number	3
DOIs	https://doi.org/10.1007/s10664-023-10326-7
State	Published - May 2023

ASJC Scopus subject areas

Software

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10.1007/s10664-023-10326-7

Cite this

@article{ca297488d43e4b24b6765f30343eeb8c,

title = "Software testing in the machine learning era: Special issue of the empirical Software Engineering (EMSE) journal",

author = "Andrea Stocco and Onn Shehory and Gunel Jahangirova and Vincenzo Riccio and Guy Barash and Eitan Farchi and Diptikalyan Saha",

note = "Funding Information: We thank the authors for their excellent manuscripts. We are deeply grateful to the reviewers of this special issue for their time and constructive feedback, which helped to shape the articles. We are also thankful to the Empirical Software Engineering journal and the Editors-in-Chief, Robert Feldt and Thomas Zimmermann, for their support throughout the process of preparing this special issue.",

year = "2023",

month = may,

doi = "10.1007/s10664-023-10326-7",

language = "English",

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TY - JOUR

T1 - Software testing in the machine learning era

T2 - Special issue of the empirical Software Engineering (EMSE) journal

AU - Stocco, Andrea

AU - Shehory, Onn

AU - Jahangirova, Gunel

AU - Riccio, Vincenzo

AU - Barash, Guy

AU - Farchi, Eitan

AU - Saha, Diptikalyan

N1 - Funding Information: We thank the authors for their excellent manuscripts. We are deeply grateful to the reviewers of this special issue for their time and constructive feedback, which helped to shape the articles. We are also thankful to the Empirical Software Engineering journal and the Editors-in-Chief, Robert Feldt and Thomas Zimmermann, for their support throughout the process of preparing this special issue.

PY - 2023/5

Y1 - 2023/5

UR - https://www.scopus.com/pages/publications/85158009317

U2 - 10.1007/s10664-023-10326-7

DO - 10.1007/s10664-023-10326-7

M3 - Editorial

SN - 1382-3256

VL - 28

JO - Empirical Software Engineering

JF - Empirical Software Engineering

IS - 3

M1 - 74

ER -

Software testing in the machine learning era: Special issue of the empirical Software Engineering (EMSE) journal

ASJC Scopus subject areas

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