Embedded software developers assume the behavior of the environment when specifications are not available. However, developers may assume the behavior incorrectly, which may result in critical faults in the system. Therefore, it is important to detect the faults caused by incorrect assumptions. In this letter, we propose a log-based testing approach to detect the faults. First, we create a UML behavioral model to represent the assumed behavior of the environment, which is then transformed into a state model. Next, we extract the actual behavior of the environment from a log, which is then incorporated in the state model, resulting in a state model that represents both assumed and actual behaviors. Existing testing techniques based on the state model can be used to generate test cases from our state model to detect faults.
Sooyong JEONG
Kyungpook National University
Ajay Kumar JHA
Kyungpook National University
Youngsul SHIN
Kyungpook National University
Woo Jin LEE
Kyungpook National University
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Sooyong JEONG, Ajay Kumar JHA, Youngsul SHIN, Woo Jin LEE, "A Log-Based Testing Approach for Detecting Faults Caused by Incorrect Assumptions About the Environment" in IEICE TRANSACTIONS on Information,
vol. E103-D, no. 1, pp. 170-173, January 2020, doi: 10.1587/transinf.2019EDL8149.
Abstract: Embedded software developers assume the behavior of the environment when specifications are not available. However, developers may assume the behavior incorrectly, which may result in critical faults in the system. Therefore, it is important to detect the faults caused by incorrect assumptions. In this letter, we propose a log-based testing approach to detect the faults. First, we create a UML behavioral model to represent the assumed behavior of the environment, which is then transformed into a state model. Next, we extract the actual behavior of the environment from a log, which is then incorporated in the state model, resulting in a state model that represents both assumed and actual behaviors. Existing testing techniques based on the state model can be used to generate test cases from our state model to detect faults.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2019EDL8149/_p
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@ARTICLE{e103-d_1_170,
author={Sooyong JEONG, Ajay Kumar JHA, Youngsul SHIN, Woo Jin LEE, },
journal={IEICE TRANSACTIONS on Information},
title={A Log-Based Testing Approach for Detecting Faults Caused by Incorrect Assumptions About the Environment},
year={2020},
volume={E103-D},
number={1},
pages={170-173},
abstract={Embedded software developers assume the behavior of the environment when specifications are not available. However, developers may assume the behavior incorrectly, which may result in critical faults in the system. Therefore, it is important to detect the faults caused by incorrect assumptions. In this letter, we propose a log-based testing approach to detect the faults. First, we create a UML behavioral model to represent the assumed behavior of the environment, which is then transformed into a state model. Next, we extract the actual behavior of the environment from a log, which is then incorporated in the state model, resulting in a state model that represents both assumed and actual behaviors. Existing testing techniques based on the state model can be used to generate test cases from our state model to detect faults.},
keywords={},
doi={10.1587/transinf.2019EDL8149},
ISSN={1745-1361},
month={January},}
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TY - JOUR
TI - A Log-Based Testing Approach for Detecting Faults Caused by Incorrect Assumptions About the Environment
T2 - IEICE TRANSACTIONS on Information
SP - 170
EP - 173
AU - Sooyong JEONG
AU - Ajay Kumar JHA
AU - Youngsul SHIN
AU - Woo Jin LEE
PY - 2020
DO - 10.1587/transinf.2019EDL8149
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E103-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2020
AB - Embedded software developers assume the behavior of the environment when specifications are not available. However, developers may assume the behavior incorrectly, which may result in critical faults in the system. Therefore, it is important to detect the faults caused by incorrect assumptions. In this letter, we propose a log-based testing approach to detect the faults. First, we create a UML behavioral model to represent the assumed behavior of the environment, which is then transformed into a state model. Next, we extract the actual behavior of the environment from a log, which is then incorporated in the state model, resulting in a state model that represents both assumed and actual behaviors. Existing testing techniques based on the state model can be used to generate test cases from our state model to detect faults.
ER -