Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Daniel Staegemann ; Matthias Volk ; Naoum Jamous and Klaus Turowski

Affiliation: Magdeburg Research and Competence Cluster VLBA, Otto-von-Guericke University Magdeburg, Magdeburg, Germany

Keyword(s): Big Data, Test Driven Development, TDD, Process Model, Design Science Research, DSR, Microservice.

Abstract: Big data has emerged to be one of the driving factors of today’s society. However, the quality assurance of the corresponding applications is still far from being mature. Therefore, further work in this field is needed. This includes the improvement of existing approaches and strategies as well as the exploration of new ones. One rather recent proposition was the application of test driven development to the implementation of big data systems. Since their quality is of critical importance to achieve good results and the application of test driven development has been found to increase the developed product’s quality, this suggestion appears promising. However, there is a need for a structured approach to outline how the corresponding endeavors should be realized. Therefore, the publication at hand applies the design science research methodology to bridge this gap by proposing a process model for test driven development in the big data domain.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 70.40.220.129

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Staegemann, D., Volk, M., Jamous, N. and Turowski, K. (2022). A Process Model for Test Driven Development in the Big Data Domain. In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KMIS; ISBN 978-989-758-614-9; ISSN 2184-3228, SciTePress, pages 109-118. DOI: 10.5220/0011337200003335

@conference{kmis22,
author={Daniel Staegemann and Matthias Volk and Naoum Jamous and Klaus Turowski},
title={A Process Model for Test Driven Development in the Big Data Domain},
booktitle={Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KMIS},
year={2022},
pages={109-118},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011337200003335},
isbn={978-989-758-614-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KMIS
TI - A Process Model for Test Driven Development in the Big Data Domain
SN - 978-989-758-614-9
IS - 2184-3228
AU - Staegemann, D.
AU - Volk, M.
AU - Jamous, N.
AU - Turowski, K.
PY - 2022
SP - 109
EP - 118
DO - 10.5220/0011337200003335
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic