Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)

Test of Exception Handling in Different Java Virtual Machine

Authors
Tingting Li
Corresponding Author
Tingting Li
Available Online November 2016.
DOI
10.2991/icmia-16.2016.98How to use a DOI?
Keywords
testing, exception handling, java virtual machine
Abstract

Exception Handling in Java and other languages make it possible to raise exception and attaching exception handlers to particular blocks of code. In most research, more people focus on testing of exception handling of programs, Alexandre L. Martins [1] force the execution of exceptional path to improve code coverage analysis, Felipe Ebert [2] study exception handling bugs in Java programs. Exception handling is important to guarantee program quality. However, several studies compare the exception handling result of different Java Virtual Machine(JVM). We focus on studying the exception handling in different Java virtual machine, and develop a tool to automatically insert exception code to test the consistency of Java virtual machine exception handling.

Copyright
© 2016, 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 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
10.2991/icmia-16.2016.98
ISSN
1951-6851
DOI
10.2991/icmia-16.2016.98How to use a DOI?
Copyright
© 2016, 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  - Tingting Li
PY  - 2016/11
DA  - 2016/11
TI  - Test of Exception Handling in Different Java Virtual Machine
BT  - Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-16.2016.98
DO  - 10.2991/icmia-16.2016.98
ID  - Li2016/11
ER  -