Capsule 7

TestingRobotChallenge Metadata  

General Information about the Capsule

Name: TestingRobotChallenge 
Identifier: ENACTEST_ID_7
Language: English
Category: Serious Game AND  Environment  
Keywords: Software Testing, JUnit, Unit Test, Test Automation Tools, Challenge-based Learning.  

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Description:
“TestingRobotChallenge” is a serious game offering a learning environment designed for software testing students. It focuses on practicing test case design and implementation, raising awareness about test automation tools, and enabling students to compare manual vs. automated testing.  

Supporting Materials

Poster Video Example GitHub

Cost: Free
Copyright and Other Restrictions: Yes
Description: Licensed for educational and research purposes.

Educational

Interactivity Type: Interactive
Learning Resource Type: Teaching material with accompanying software
Interactivity Level: Medium
Intended End-User Role: Learner (Master’s students , final year Bachelor’s students)

Context: Higher Education
Typical Age Range: Adult learners (18+ years)
Difficulty Level: Intermediate
Description of Learning Objectives:

  • Learning how to generate tests from UML state machines
  • Coverage criteria
  • Mutation testing

Prerequisites

  • Prior knowledge of UML class diagrams and state charts.
  • When using own models: Prior knowledge of testing basics

Classification of the Learning Objectives According to Bloom’s Taxonomy

  • Understand: Comprehend JUnit, Unit Testing, UML state machines, Test generation, and model coverage.
  • Apply: N+ strategy for test generation and use mutation testing for evaluating tests.
  • Analyze: Compare manual unit tests with generated tests.
  • Evaluate: Assess test effectiveness of test cases.

Learning Sequence
Introduction to testing, testing framework and JUnit
Activity 1: Testing a Three Plater Volley Game in JUnit – with submissions
State Model, Coverage, N+ strategy, Code instrumentation, test generation
Activity2: Review generated tests
Evaluate generated tests with Mutation in comparison with manual tests

Expected Consequences
Students will develop skills in model-based testing.

Meta-Metadata

Metadata Schema: IEEE LOM-based ARIADNE
Language: English

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