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Causal Interactions in Agile Application Development

Author

Listed:
  • Saulius Gudas

    (Institute of Data Science and Digital Technologies, Vilnius University, LT-08412 Vilnius, Lithuania)

  • Karolis Noreika

    (Institute of Data Science and Digital Technologies, Vilnius University, LT-08412 Vilnius, Lithuania)

Abstract

The Agile approach and tools are popular for the management of Enterprise Application Software (EAS) development. This article focuses on the issue of inconsistency between strategic business objectives and the functionality of the software developed. Agile management tools lack the functionality of EAS project activities coordination. This article aims to rethink Agile project management using the causal modelling approach. A causal model of Agile project management using a management transaction (MT) concept was developed. The notion of the space of processes was used to identify the MTs location along the axes of aggregation, generalization, and time and to formalize their interaction specifications. Taxonomy of the coordination meta-types and types was developed using the identifiers of the MTs. The modified Agile activities hierarchy was developed, and vertical and horizontal causal interactions between Agile activities were identified. This modified Agile management model helps to consistently track the integrity of EAS project content. Complexity indicators were introduced to evaluate the EAS project complexity and their average and normalized values are presented. Additional attributes in the Agile management tool Jira are proposed. Monitoring mismatch between strategic business objectives and development activities content helps to improve the success of EAS projects delivery.

Suggested Citation

  • Saulius Gudas & Karolis Noreika, 2022. "Causal Interactions in Agile Application Development," Mathematics, MDPI, vol. 10(9), pages 1-22, April.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:9:p:1497-:d:806737
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    References listed on IDEAS

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    1. Varun Tripathi & Somnath Chattopadhyaya & Alok Bhadauria & Shubham Sharma & Changhe Li & Danil Yurievich Pimenov & Khaled Giasin & Sunpreet Singh & Girish Dutt Gautam, 2021. "An Agile System to Enhance Productivity through a Modified Value Stream Mapping Approach in Industry 4.0: A Novel Approach," Sustainability, MDPI, vol. 13(21), pages 1-31, October.
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