Combining Data Analytics with Team Feedback to Improve the Estimation Process in Agile Software Development

• Autorzy: Vetrò A. , Dürre R. , Conoscenti M. , Fernández D. M. , Jørgensen M.

Identyfikatory

DOI

10.1515/fcds-2018-0016

• Języki publikacji: EN

Abstrakty

EN

We apply a mixed research method to improve the user stories estimation process in a German company following agile software development. We combine software project data analytics with elicitation of teams’ feedback, identify root causes for wrong estimates and propose an improved version of the estimation process. Three major changes are adopted in the new process: a shorter non numerical scale for story points, an analogy-based estimation process, and retrospectives analyses on the accuracy of previous sprints estimates. The new estimation process is applied on a new project, and an improvement of estimates accuracy from 10% to 45% is observed.

Słowa kluczowe

EN

agile estimation; data analytics; process improvement

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2018
• Tom: Vol. 43, No. 4
• Strony: 305--334
• Opis fizyczny: Bibliogr. 23 poz., tab., fig.

Twórcy

autor

Vetrò A.

• Nexa Center for Internet & Society, DAUIN, Politecnico di Torino

autor

Dürre R.

• Netlight Consulting

autor

Conoscenti M.

• Nexa Center for Internet & Society, DAUIN, Politecnico di Torino

autor

Fernández D. M.

• Technische Universität München

autor

Jørgensen M.

• Simula Metropolitan

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).