Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)

Research on Irregular Field Area Measurements Metamorphosis Testing Method

Authors
Bin Hu, Wei Tang, Zhanwei Hui, Ruihao Ding
Corresponding Author
Bin Hu
Available Online September 2017.
DOI
10.2991/amee-17.2017.50How to use a DOI?
Keywords
programming teaching methods; SPOC; mixed learning
Abstract

Aiming at the problem that it difficult to judge the correctness of the testing output during the area measurement testing, this paper purposes applying metamorphosis testing to terrain measurement software which shows its good effect. Taking the metamorphosis testing for irregular field area in terrain measurement software as application background, an improved area measurement is proposed. On the basis of this algorithm, the relation of metamorphosis and the criterion of judgment are constructed, and the experimental verification is carried out by metamorphosis relation for area division.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)
Series
Advances in Engineering Research
Publication Date
September 2017
ISBN
10.2991/amee-17.2017.50
ISSN
2352-5401
DOI
10.2991/amee-17.2017.50How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Bin Hu
AU  - Wei Tang
AU  - Zhanwei Hui
AU  - Ruihao Ding
PY  - 2017/09
DA  - 2017/09
TI  - Research on Irregular Field Area Measurements Metamorphosis Testing Method
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical and Electrical Engineering (AMEE 2017)
PB  - Atlantis Press
SP  - 241
EP  - 244
SN  - 2352-5401
UR  - https://doi.org/10.2991/amee-17.2017.50
DO  - 10.2991/amee-17.2017.50
ID  - Hu2017/09
ER  -