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Exhaustive testing of highly configurable software developed in continuous integration is rarely feasible in practice due to the configuration space of exponential size on the one hand, and strict time constraints on the other. This entails using selective testing techniques to determine the most failure-inducing test cases, conforming to highly-constrained time budget. These challenges have been...
Data-intensive systems in e-governance collect and process data to ensure conformance to a set of business rules. Testers meticulously verify data in test databases, extracted from different steps of a live production stream , for correct application of business rules. We simplify the process by allowing testers to model a test domain on a relational database and automatically generate test cases...
Testing data-intensive systems is paramount to increase our reliance on information processed in e-governance, scientific/ medical research, and social networks. A common practice in the industrial testing process is to use test databases copied from live production streams to test functionality of complex database applications that manage well-formedness of data and its adherence to business rules...
Data-intensive information systems constitute the backbone of e-commerce and e-governance services running worldwide. Structured data is a central artefact in these information systems. Requirements for structure in data are typically modelled in a database schema. However, information system behaviour is often a function of interactions that cross-cut database features such as field values in different...
Model transformations are an integral part of several computing systems that manipulate interconnected graphs of objects called models in an input domain specified by a metamodel and a set of invariants. Test models are used to look for faults in a transformation. A test model contains a specific set of objects, their interconnections and values for their attributes. Can we automatically generate...
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