A Proposal of Test Code Generation Tool for Java Programming Learning Assistant System

To advance Java programming educations, we have developed the Java programming learning assistant system (JPLAS) that can verify the correctness of the code from a student automatically using the test-driven development (TDD) method. Then, to register a new assignment in JPLAS, teachers are required...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Proceedings / International Conference on Advanced Information Networking and Applications S. 51 - 56
Hauptverfasser: Funabiki, Nobuo, Kusaka, Ryota, Ishihara, Nobuya, Wen-Chung Kao
Format: Tagungsbericht
Sprache:Englisch
Japanisch
Veröffentlicht: IEEE 01.03.2017
Schlagworte:
automatic generation
Java
Java programming
JPLAS
JUnit
Programming profession
Proposals
Servers
test case
test code
Writing
ISSN:1550-445X
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:To advance Java programming educations, we have developed the Java programming learning assistant system (JPLAS) that can verify the correctness of the code from a student automatically using the test-driven development (TDD) method. Then, to register a new assignment in JPLAS, teachers are required to write the test code in addition to the reference source code. Unfortunately, most teachers at schools are not accustomed to writing test codes. In this paper, we propose a test code generation tool that automatically generates the test cases from the reference source code by extracting the outputs for given inputs using functions in JUnit. As assignments for Java novice students, the code that contains standard inputs/outputs is emphasized. For evaluation, we collected 97 codes containing standard inputs/outputs from Java programming text books or Web sites. The experimental result has shown that the proposed tool correctly generated the test codes for them except for one code using a random generator.
ISSN:1550-445X
DOI:10.1109/AINA.2017.60