Property-Driven Black-Box Testing of Numeric Functions

Sharma, Arnab; Melnikov, Vitalik; Hüllermeier, Eyke und Wehrheim, Heike (February 2023): Property-Driven Black-Box Testing of Numeric Functions. Software Engineering 2023, Paderborn, Germany, 20-24 February 2023. Engels, Gregor; Hebig, Regina und Tichy, Matthias (eds.) : 111-112 Bonn: Gesellschaft für Informatik e.V.. pp. 111-112

Abstract

In this work, we propose a property-driven testing mechanism to perform unit testing of functions performing numerical computations. Our approach, similar to the property-based testing technique, allows the tester to specify the requirements to check. Unlike property-based testing, the specification is then used to generate test cases in a targeted manner. Moreover, our approach works as a black-box testing tool, i.e. it does not require knowledge about the internals of the function under test. Therefore, besides on programmed numeric functions, we also apply our technique to machine-learned regression models. The experimental evaluation on a number of case studies shows the effectiveness of our testing approach.

• Item Type: Conference or Workshop Item (Paper)
• Faculties: Mathematics, Computer Science and Statistics > Computer Science > Artificial Intelligence and Machine Learning
• Subjects: 000 Computer science, information and general works > 000 Computer science, knowledge, and systems
• Place of Publication: Bonn