Autor/Autorin: Schaefer Christopher
Christopher J Schaefer was born in Bottineau, ND, U.S.A. and attended and graduated from Bottineau High School. Shortly after he enlisted in the United States Army. After being medical discharged, Chris earned his Bachelor's degree in Computer Science from Minot State University and his Master's degree from NDSU. He is currently employed by IBM.
Model-Based Exploratory Testing (MBET) is a combination of Model-Based Testing (MBT) and Exploratory Testing (ET) methods. MBET takes advantages of both testing methods in an attempt to achieve better coverage and defect detection compared with using only one test method. MBET offers the automation advantages of MBT but also incorporates the exploratory factor of ET in an attempt to find defects which MBT might fail to detect. In this work, we describe the combination of MBT and ET into MBET and layout this new testing method. Also, an empirical study is included to show the effectiveness of MBET compared to MBT. This study shows that MBET and MBT are complementary testing methods and could effectively be used in unison.
Christopher J Schaefer was born in Bottineau, ND, U.S.A. and attended and graduated from Bottineau High School. Shortly after he enlisted in the United States Army. After being medical discharged, Chris earned his Bachelor's degree in Computer Science from Minot State University and his Master's degree from NDSU. He is currently employed by IBM.
Über den Autor
Christopher J Schaefer was born in Bottineau, ND, U.S.A. and attended and graduated from Bottineau High School. Shortly after he enlisted in the United States Army. After being medical discharged, Chris earned his Bachelor's degree in Computer Science from Minot State University and his Master's degree from NDSU. He is currently employed by IBM.
Klappentext
Model-Based Exploratory Testing (MBET) is a combination of Model-Based Testing (MBT) and Exploratory Testing (ET) methods. MBET takes advantages of both testing methods in an attempt to achieve better coverage and defect detection compared with using only one test method. MBET offers the automation advantages of MBT but also incorporates the exploratory factor of ET in an attempt to find defects which MBT might fail to detect. In this work, we describe the combination of MBT and ET into MBET and layout this new testing method. Also, an empirical study is included to show the effectiveness of MBET compared to MBT. This study shows that MBET and MBT are complementary testing methods and could effectively be used in unison.
