Towards evaluating the impact of data quality on service applications

Service applications frequently make use of a relational database to store and retrieve data and rely on the correctness of this data to deliver service to clients. Despite this, relational databases do not provide support for complex data integrity restrictions, which have to be controlled by the application. As such, bugs present in service applications can easily lead to the storage of incorrect data that, at random instants can cause applications to fail and stop delivering service, which can severely impact clients, other applications, and even the reputation or finance of the service provider. The goal of this work is to set the basis for an approach that is able to assess how vulnerable a service application can be to incorrect data. We expect that the results can also be used to suggest solutions for applications showing failures in presence of poor data and to define problem prevention techniques during the development of new applications.