Cristin-resultat-ID: 1637884
Sist endret: 15. mars 2019, 11:27
NVI-rapporteringsår: 2018
Resultat
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2018

An empirical study of WIP in kanban teams

Bidragsytere:
  • Dag Sjøberg

Bok

Om resultatet

Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Publiseringsår: 2018
Sider: 13.1 - 13.8
ISBN:
  • 978-1-4503-5823-1

Klassifisering

Fagfelt (NPI)

Fagfelt: IKT
- Fagområde: Realfag og teknologi

Beskrivelse Beskrivelse

Tittel

An empirical study of WIP in kanban teams

Sammendrag

Background: Limiting the amount of Work-In-Progress (WIP) is considered a fundamental principle in Kanban software development. However, no published studies from real cases exist that indicate what an optimal WIP limit should be. Aims: The primary aim is to study the effect of WIP on the performance of a Kanban team. The secondary aim is to illustrate methodological challenges when attempting to identify an optimal or appropriate WIP limit. Method: A quantitative case study was conducted in a software company that provided information about more than 8,000 work items developed over four years by five teams. Relationships between WIP, lead time and productivity were analyzed. Results: WIP correlates with lead time; that is, lower WIP indicates shorter lead times, which is consistent with claims in the literature. However, WIP also correlates with productivity, which is inconsistent with the claim in the literature that a low WIP (still above a certain threshold) will improve productivity. The collected data set did not include sufficient information to measure aspects of quality. There are several threats to the way productivity was measured. Conclusions: Indicating an optimal WIP limit is difficult in the studied company because a changing WIP gives contrasting results on different team performance variables. Because the effect of WIP has not been quantitatively examined before, this study clearly needs to be replicated in other contexts. In addition, studies that include other team performance variables, such as various aspects of quality, are requested. The methodological challenges illustrated in this paper need to be addressed.

Bidragsytere

Aktiv cristin-person

Dag Sjøberg

  • Tilknyttet:
    Forfatter
    ved Forskningsgruppen for programmering og software engineering ved Universitetet i Oslo
  • Tilknyttet:
    Forfatter
    ved SINTEF Digital ved SINTEF AS
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Resultatet er en del av Resultatet er en del av

Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM, Oulu, Finland — October 11 - 12, 2018.

Oivo, Markku; Fernández, Daniel Méndez; Mockus, Audris. 2018, Association for Computing Machinery (ACM). Vitenskapelig antologi/Konferanseserie
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