What is it about?
A significant amount of effort goes into writing test cases for software projects, which we believe can be reduced by a large extent with the help of Knowledge Graphs and Natural Language Processing of requirements. This paper proposes a method to automatically generate test cases using these methodologies.
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Why is it important?
The proposed methodology will give engineers a head start to their test case writing activities by providing them an extensive list of auto-generated test cases which can either be directly consumed/consumed with minimal edits.
Perspectives
This work provides a useful real-world application of AI, which if adopted can lead to significant reduction in effort and costs for software engineering teams.
Anmol Nayak
Robert Bosch GmbH
Read the Original
This page is a summary of: Knowledge Graph based Automated Generation of Test Cases in Software Engineering, January 2020, ACM (Association for Computing Machinery),
DOI: 10.1145/3371158.3371202.
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