Generating Natural Language Descriptions of Z Test Cases

Critical software most often requires an independent validation and verification (IVV). IVV is usually performed by domain experts, who are not familiar with specific, many times formal, development technologies. In addition, model-based testing (MBT) is a promising testing technique for the verification of critical software. Test cases generated by MBT tools are logical descriptions. The problem is, then, to provide natural language (NL) descriptions of these test cases, making them accessible to domain experts. In this paper, we present ongoing research aimed at finding a suitable method for generating NL descriptions from test cases in a formal specification language. A first prototype has been developed and applied to a real-world project in the aerospace sector.

• Type: Journal
• Year: 2010
• Where: INLG
• Authors: Maximiliano Cristiá, Brian Plüss
• Keywords: Critical Software, INLG 2010, Natural Language Processing, Promising Testing Technique, Test Cases