@inproceedings{e2a4cbbecb09402eb2f654aeebd76511,
title = "XAI tools in the public sector: A case study on predicting combined sewer overflows",
keywords = "AI, case study, explainability, goal-question-metric (GQM)",
author = "Nicholas Maltbie and Nan Niu and \{Van Doren\}, Matthew and Reese Johnson",
note = "Publisher Copyright: {\textcopyright} 2021 ACM.; 29th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2021 ; Conference date: 23-08-2021 Through 28-08-2021",
year = "2021",
month = aug,
day = "20",
doi = "10.1145/3468264.3468547",
language = "English",
series = "ESEC/FSE 2021 - Proceedings of the 29th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering",
publisher = "Association for Computing Machinery",
pages = "1032--1044",
editor = "Diomidis Spinellis",
booktitle = "ESEC/FSE 2021 - Proceedings of the 29th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering",
}