@inproceedings{d6b387dd52c842c18d0eb33e941fbdb1,
title = "Enhancing Supervised Classifications with Metamorphic Relations",
abstract = "We report on a novel use of metamorphic relations (MRs) in machine learning: instead of conducting metamorphic testing, we use MRs for the augmentation of the machine learning algorithms themselves. In particular, we report on how MRs can enable enhancements to an image classification problem of images containing hidden visual markers (Artcodes). Working on an original classifier, and using the characteristics of two different categories of images, two MRs, based on separation and occlusion, were used to improve the performance of the classifier. Our experimental results show that the MR-augmented classifier achieves better performance than the original classifier, algorithms, and extending the use of MRs beyond the context of software testing.",
keywords = "Artcodes, Metamorphic testing, metamorphic relations, random forests, supervised classification",
author = "Liming Xu and Dave Towey and French, {Andrew P.} and Steve Benford and Zhou, {Zhi Quan} and Chen, {Tsong Yueh}",
note = "Publisher Copyright: {\textcopyright} 2018 Association for Computing Machinery.; 3rd ACM/IEEE International Workshop on Metamorphic Testing, MET 2018, held in conjunction with the 40th International Conference on Software Engineering, ICSE 2018 ; Conference date: 27-05-2018",
year = "2018",
month = may,
day = "27",
doi = "10.1145/3193977.3193978",
language = "English",
series = "Proceedings - International Conference on Software Engineering",
publisher = "IEEE Computer Society",
pages = "46--53",
booktitle = "Proceedings 2018 ACM/IEEE 3rd International Workshop on Metamorphic Testing, MET 2018",
address = "United States",
}
