APPLYING DATA IN ENGINEERING AND REQUIREMENTS PRIORITIZATION FOR PRODUCT DEVELOPMENT IN AGILE PROJECTS
DOI:
https://doi.org/10.24867/23GI12KnezevicKeywords:
Agile project management; Requirements prioritetization; Data-driven decision making (DDDM)Abstract
The subject of the paper is to present a theoretical and empirical analysis of the requirements prioritization in project management and the use of data in making a decision on prioritization. Within the research part of the work, the goal is to investigate how employees in positions in project management perceive the role of data in making decisions in determining the priority of requirements in agile projects.
References
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[2] Miler J. and Gaida P. (2019), Identification of the Agile Mindset and Its Comparison to the Competencies of Selected Agile Role, Advances in Agile and User-Centred Software Engineering, Springer, Cham, стр. 41-62.
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[6] Darwish, N.R. and Megahed, S. (2016), Requirements Engineering in Scrum Framework. International Journal of Computer Applications (0975 – 8887), Vol. 149, No. 8.
[7] Aybüke A., and Claes W., (2005), Engineering and Managing Software Requirements, Chapter 20, стр. 453- 476.
[8] AbdElazim, K. et al. (2020), A Framework for Requirements Prioritization Process in Agile Software Development, J. Phys.: Conf. Ser. 1454 012001.
[9] Saltz, J., Hotz, N., Wild, D. and Stirling, K. (2018), Exploring project management methodologies used within data science teams. In Americas Conference on Information Systems: Digital Disruption, AMCIS 2018 (Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018). Association for Information Systems.
[10] Saltz, J., and Stanton, J. (2017), An Introduction to Data Science. SAGE Publications.
[11] Provost, F. and Fawcett, T. (2013), Data Science and its Relationship to Big Data and Data-Driven Decision Making, Big Data, Vol. 1, No. 1, стр. 51-59.
[12] Mandinach, E.B., Honey, M. and Light, D. (2006), A Theoretical Framework for Data-Driven Decision Making. Paper presented at the annual meeting of AERA, San Francisco April 9.
[13] López L., Martínez-Fernández, S., Gómez, C., Choraś, M., Kozik, R, Guzmán, L., Vollmer, A. M., Franch, X. and Jedlitschka, A. (2018), Q-Rapids Tool Prototype: Supporting Decision-Makers in Managing Quality in Rapid Software Development. Springer-Verlag Berlin Heidelberg, 1-8.
[14] Franch, X., Ayala, C., López, L., Martínez-Fernández, S., Rodríguez, P., Gómez, C., Jedlitschka, A., Oivo, M., Partanen, J., Räty, T. and Rytivaara, V. (2017), Data-driven Requirements Engineering in Agile Projects: The Q-Rapids Approach. IEEE 25th International Requirements Engineering Conference Workshops.
[15] Svensson, R. B., Feldt, R. and Torkar, R. (2019), The Unfulfilled Potential of Data-Driven Decision Making in Agile Software Development. Agile Processes in Software Engineering and Extreme Programming, стр. 69-85.
[16] Jarzębowicz, A. and Sitko, N. (2020), Agile Requirements Prioritization in Practice: Results of an Industrial Survey. Procedia Computer Science Vol. 176, стр. 3446–3455.
[2] Miler J. and Gaida P. (2019), Identification of the Agile Mindset and Its Comparison to the Competencies of Selected Agile Role, Advances in Agile and User-Centred Software Engineering, Springer, Cham, стр. 41-62.
[3] Beck K. (2000), Extreme Programming Explained: Embrace Change 2nd edition. Addison-Wesley.
[4] Schwaber K. and Sutherland J. (2017), The Scrum Guide. The Definitive Guide to Scrum: The Rules of the Game, scrum.org (датум приступа: 21.11.2022).
[5] Aurum A. and Wohlin C. (2007), A value-based approach in requirements engineering: explaining some of the fundamental concepts, 13th International Working Conference on Requirements Engineering: Foundation for Software Quality, стр. 109-115.
[6] Darwish, N.R. and Megahed, S. (2016), Requirements Engineering in Scrum Framework. International Journal of Computer Applications (0975 – 8887), Vol. 149, No. 8.
[7] Aybüke A., and Claes W., (2005), Engineering and Managing Software Requirements, Chapter 20, стр. 453- 476.
[8] AbdElazim, K. et al. (2020), A Framework for Requirements Prioritization Process in Agile Software Development, J. Phys.: Conf. Ser. 1454 012001.
[9] Saltz, J., Hotz, N., Wild, D. and Stirling, K. (2018), Exploring project management methodologies used within data science teams. In Americas Conference on Information Systems: Digital Disruption, AMCIS 2018 (Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018). Association for Information Systems.
[10] Saltz, J., and Stanton, J. (2017), An Introduction to Data Science. SAGE Publications.
[11] Provost, F. and Fawcett, T. (2013), Data Science and its Relationship to Big Data and Data-Driven Decision Making, Big Data, Vol. 1, No. 1, стр. 51-59.
[12] Mandinach, E.B., Honey, M. and Light, D. (2006), A Theoretical Framework for Data-Driven Decision Making. Paper presented at the annual meeting of AERA, San Francisco April 9.
[13] López L., Martínez-Fernández, S., Gómez, C., Choraś, M., Kozik, R, Guzmán, L., Vollmer, A. M., Franch, X. and Jedlitschka, A. (2018), Q-Rapids Tool Prototype: Supporting Decision-Makers in Managing Quality in Rapid Software Development. Springer-Verlag Berlin Heidelberg, 1-8.
[14] Franch, X., Ayala, C., López, L., Martínez-Fernández, S., Rodríguez, P., Gómez, C., Jedlitschka, A., Oivo, M., Partanen, J., Räty, T. and Rytivaara, V. (2017), Data-driven Requirements Engineering in Agile Projects: The Q-Rapids Approach. IEEE 25th International Requirements Engineering Conference Workshops.
[15] Svensson, R. B., Feldt, R. and Torkar, R. (2019), The Unfulfilled Potential of Data-Driven Decision Making in Agile Software Development. Agile Processes in Software Engineering and Extreme Programming, стр. 69-85.
[16] Jarzębowicz, A. and Sitko, N. (2020), Agile Requirements Prioritization in Practice: Results of an Industrial Survey. Procedia Computer Science Vol. 176, стр. 3446–3455.
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Published
2023-07-31
Issue
Section
Industrial Engineering and Management
