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Derivation of an Agile Method Construction Set to Optimize the Software Development Process

Derivation of an Agile Method Construction Set to Optimize the Software Development Process

Jerome Vogel, Rainer Telesko
Copyright: © 2020 |Volume: 22 |Issue: 3 |Pages: 16
ISSN: 1548-7717|EISSN: 1548-7725|EISBN13: 9781799804796|DOI: 10.4018/JCIT.2020070102
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MLA

Vogel, Jerome, and Rainer Telesko. "Derivation of an Agile Method Construction Set to Optimize the Software Development Process." JCIT vol.22, no.3 2020: pp.19-34. http://doi.org/10.4018/JCIT.2020070102

APA

Vogel, J. & Telesko, R. (2020). Derivation of an Agile Method Construction Set to Optimize the Software Development Process. Journal of Cases on Information Technology (JCIT), 22(3), 19-34. http://doi.org/10.4018/JCIT.2020070102

Chicago

Vogel, Jerome, and Rainer Telesko. "Derivation of an Agile Method Construction Set to Optimize the Software Development Process," Journal of Cases on Information Technology (JCIT) 22, no.3: 19-34. http://doi.org/10.4018/JCIT.2020070102

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Abstract

Today, IT and especially the development of customer-focused software, has become one of the most important elements for a company to remain competitive. The primary purpose of this article is to determine whether it is possible to improve the agile development of a company by adjusting its software development process in terms of cultural, technical, and managerial dimensions. Based on a literature analysis and practical experience in the company, different influencing factors and parameters, which affect the value creation throughout the software development process of a company were derived and clustered. Out of these clusters, a framework (Agile Method Construction Set) based on a Microsoft Excel questionnaire was created in order to analyze and identify optimization potential in the development process of a company. This construction set was adapted to meet the requirements of the development department of a large Swiss insurance company in order to validate and test the framework with real data.