Paper Info
Title
Error messages are classifiers: a process to design and evaluate error messages.
Abstract
This paper presents a lightweight process to guide error report authoring. We take the perspective that error reports are really classifiers of program information. They should therefore be subjected to the same measures as other classifiers (e.g., precision and recall). We formalize this perspective as a process for assessing error reports, describe our application of this process to an actual programming language, and present a preliminary study on the utility of the resulting error reports.
Year
DOI
Venue
2017
10.1145/3133850.3133862
SPLASH '17: Conference on Systems, Programming, Languages, and Applications: Software for Humanity Vancouver BC Canada October, 2017
Field
DocType
ISBN
Computer science,Precision and recall,Artificial intelligence,Machine learning
Conference
978-1-4503-5530-8
Citations 
PageRank 
References 
0
0.34
16
Authors
2
Name
Order
Citations
PageRank
John Wrenn101.35
Shriram Krishnamurthi22446178.81