Automation of Negative Testing

Examensarbete för masterexamen

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Type: Examensarbete för masterexamen
Master Thesis
Title: Automation of Negative Testing
Authors: Semwezi, Godwin Sebabi
Abstract: Software testing primarily focuses on ensuring the right system behavior when the expected inputs are provided. As software becomes more complex it presents numerous use cases that are prone to failures. Testing must explore these use cases to ensure appropriate system behavior in the presence of faults, an endeavor often called Negative Testing. However the knowledge on Negative Testing is limited which hinders its application to testing. In this study, the existing knowledge and techniques for Negative Testing is explored resulting in a new perspective of Negative Testing. We call this Negation Testing since the previous term is broad and has been used in many different meanings. This new perspective is then implemented as an extension to a unit testing framework. The extension is evaluated and results show that the presented approach can reveal faults and unexpected behavior in software.
Keywords: Data- och informationsvetenskap;Computer and Information Science
Issue Date: 2012
Publisher: Chalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)
Chalmers University of Technology / Department of Computer Science and Engineering (Chalmers)
Collection:Examensarbeten för masterexamen // Master Theses

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