TY - GEN
T1 - Performance investigation of unit testing in android programming learning assistance system
AU - Syaifudin, Yan Watequlis
AU - Funabiki, Nobuo
AU - Wijaya, Devany C.
AU - Mu’aasyiqiin, Ikhlaashul
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/3/9
Y1 - 2021/3/9
N2 - With increasing demands for Android application programmers, we have developed the Android Programming Learning Assistant System (APLAS) to provide a self-learning platform in Android programming. In APLAS, unit testing takes the essential role to confirm the validity of satisfying the required specifications in the answer source code from a student. However, JUnit and Robolectric, the unit testing tools adopted in APLAS, require high CPU loads and take long execution time because of the complex procedure of testing the source codes for human-interactive applications. In the previous studies, we have implemented the unit testing function in both the client-side and the server-side of the web-based online platform. In this paper, we present the performance investigations of the two unit testing tools at the validation process under various PC hardware and test case specifications. The results show that the hardware specifications, the initialization process by Gradle, and the number of test cases in a test code have significant impacts on the validation time, and the JUnit-based test code is much faster than the Robolectric-based test code.
AB - With increasing demands for Android application programmers, we have developed the Android Programming Learning Assistant System (APLAS) to provide a self-learning platform in Android programming. In APLAS, unit testing takes the essential role to confirm the validity of satisfying the required specifications in the answer source code from a student. However, JUnit and Robolectric, the unit testing tools adopted in APLAS, require high CPU loads and take long execution time because of the complex procedure of testing the source codes for human-interactive applications. In the previous studies, we have implemented the unit testing function in both the client-side and the server-side of the web-based online platform. In this paper, we present the performance investigations of the two unit testing tools at the validation process under various PC hardware and test case specifications. The results show that the hardware specifications, the initialization process by Gradle, and the number of test cases in a test code have significant impacts on the validation time, and the JUnit-based test code is much faster than the Robolectric-based test code.
KW - APLAS
KW - Android application
KW - JUnit
KW - Performance investigation
KW - Robolectric
KW - Unit testing
UR - http://www.scopus.com/inward/record.url?scp=85104670392&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85104670392&partnerID=8YFLogxK
U2 - 10.1109/LifeTech52111.2021.9391971
DO - 10.1109/LifeTech52111.2021.9391971
M3 - Conference contribution
AN - SCOPUS:85104670392
T3 - LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies
SP - 153
EP - 157
BT - LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE Global Conference on Life Sciences and Technologies, LifeTech 2021
Y2 - 9 March 2021 through 11 March 2021
ER -