Authors:
Daniel Staegemann
;
Malte Rathjens
;
Hannes Hinniger
;
Vivian Schmidt
and
Klaus Turowski
Affiliation:
Magdeburg Research and Competence Cluster VLBA, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
Keyword(s):
Software Engineering, Big Data, Test Driven Development, TDD, Testing, Quality Assurance, Microservice, Prediction, Gun Violence.
Abstract:
Big data (BD) and the systems used for its harnessing heavily impact many aspects of today’s society and it has been repeatedly shown that they can positively impact the operations of organizations that incorporate them. However, creating and maintaining these applications is extremely challenging. Therefore, it is necessary to pay additional attention to the corresponding quality assurance. One software engineering approach that combines high test coverage, the enabling of comprehensive regression tests, but also positively impacts the developed applications’ design, is test driven development. Even though by now it has a somewhat long history in software development in general, its use in the context of BD engineering is not common. However, an approach for the test driven development of BD applications that is based on microservices has been proposed rather recently. To gain further insights into its feasibility, the publication at hand explores its application in the context of a
prototypical project implementation. Hereby, the chosen use case is the analysis and prediction of gun violence incidents in the United States of America, which also incorporates NFL match game data, under the assumption that the games could potentially influence the occurrence of such incidents.
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