Establishing key performance indicators for measuring software-development processes at a large organization

Author:

Sürücü Cem1,Song Bianying2,Krüger Jacob3,Saake Gunter4,Leich Thomas5

Affiliation:

1. Volkswagen Financial Services, Germany / University of Magdeburg, Germany

2. Volkswagen Financial Services, Germany

3. University of Toronto, Canada / University of Magdeburg, Germany

4. University of Magdeburg, Germany

5. Harz University of Applied Sciences, Germany

Funder

Deutsche Forschungsgemeinschaft

Volkswagen Financial Services AG

Publisher

ACM

Reference23 articles.

1. Reasoning with Key Performance Indicators

2. Barry W. Boehm. 1984. Software Engineering Economics. Transactions on Software Engineering SE-10 1 ( 1984 ). https://doi.org/10.1109/TSE. 1984.5010193 10.1109/TSE.1984.5010193 Barry W. Boehm. 1984. Software Engineering Economics. Transactions on Software Engineering SE-10 1 ( 1984 ). https://doi.org/10.1109/TSE. 1984.5010193 10.1109/TSE.1984.5010193

3. Controlling and monitoring agile software development in three dutch product software companies

4. Magne Jørgensen and Barry W. Boehm. 2009. Software Development Efort Estimation: Formal Models or Expert Judgment? IEEE Software 26 2 ( 2009 ). https://doi.org/10.1109/MS. 2009.47 10.1109/MS.2009.47 Magne Jørgensen and Barry W. Boehm. 2009. Software Development Efort Estimation: Formal Models or Expert Judgment? IEEE Software 26 2 ( 2009 ). https://doi.org/10.1109/MS. 2009.47 10.1109/MS.2009.47

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