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Paper Type
Complete
Description
Data and their analysis are one of the driving forces of today’s society. Therefore, the concept of big data (BD) is also heavily discussed by researchers and practitioners alike. Besides many other aspects, this also includes the corresponding quality assurance. The publication at hand contributes to this by further examining the rather recent proposition of applying the test driven development (TDD) approach to the BD domain. More specifically, the paper aims to shed light on the question, in which BD scenarios TDD’s application is likely to result in competitive advantages and when it should be refrained from. For doing so, it firstly outlines the advantages and drawbacks of TDD in a BD context. Afterwards, these aspects are brought together in a discussion to answer the research question. Thereby, this paper contributes to the scientific body of knowledge while also providing additional insights for practitioners and decision makers in the domain.
Paper Number
1906
Recommended Citation
Staegemann, Daniel; Volk, Matthias; Pohl, Matthias; Haertel, Christian; Jamous, Naoum; and Turowski, Klaus, "Achieving Competitive Advantages Through Situation-Aware Big Data Engineering – When (Not) to Use Test Driven Development" (2023). AMCIS 2023 Proceedings. 22.
https://aisel.aisnet.org/amcis2023/conf_theme/conf_theme/22
Achieving Competitive Advantages Through Situation-Aware Big Data Engineering – When (Not) to Use Test Driven Development
Data and their analysis are one of the driving forces of today’s society. Therefore, the concept of big data (BD) is also heavily discussed by researchers and practitioners alike. Besides many other aspects, this also includes the corresponding quality assurance. The publication at hand contributes to this by further examining the rather recent proposition of applying the test driven development (TDD) approach to the BD domain. More specifically, the paper aims to shed light on the question, in which BD scenarios TDD’s application is likely to result in competitive advantages and when it should be refrained from. For doing so, it firstly outlines the advantages and drawbacks of TDD in a BD context. Afterwards, these aspects are brought together in a discussion to answer the research question. Thereby, this paper contributes to the scientific body of knowledge while also providing additional insights for practitioners and decision makers in the domain.
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Conference Theme