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[Background] Nowadays, there is a massive growth of data volume and speed inmany types of systems. It introduces new needs for infrastructure andapplications that have to handle streams of data with low latency and highthroughput. Testing applications that process such data streams has become asignificant challenge for engineers. Companies are adopting differentapproaches to dealing with this issue. Some have developed their own solutionsfor testing, while others have adopted a combination of existing testingtechniques. There is no consensus about how or in which contexts such solutionscan be implemented. [Aims] To the best of our knowledge, there is noconsolidated literature on that topic. The present paper is an attempt to fillthis gap by conducting an exploratory study with practitioners. [Method] Weused qualitative methods in this research, in particular interviews and survey.We interviewed 12 professionals who work in projects related to data streams,and also administered a questionnaire with other 105 professionals. Theinterviews went through a transcription and coding process, and thequestionnaires were analysed to reinforce findings. [Results] This studypresents current practices around software testing in data stream processingapplications. These practices involve methodologies, techniques, and tools.[Conclusions] Our main contribution is a compendium of alternatives for many ofthe challenges that arise when testing streaming applications from astate-of-the-practice perspective.

An Exploratory Study of How Specialists Deal with Testing in Data Stream Processing Applications