TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Lunescu, Ilaria
A1  - Münch, Jürgen
A1  - Marchesi, Michele
A1  - Kuhrmann, Marco
T1  - Using measurement and simulation for understanding distributed development processes in the Cloud
T2  - IWSM Mensura '17 : proceedings of the 27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement, Gothenburg, Sweden, October 25-27, 2017
N2  - Organizations increasingly develop software in a distributed manner. The Cloud provides an environment to create and maintain software-based products and services. Currently, it is widely unknown which software processes are suited for Cloud-based development and what their effects in specific contexts are. This paper presents a process simulation to study distributed development in the Cloud. We contribute a simulation model, which helps analyzing different project parameters and their impact on projects carried out in the Cloud. The simulator helps reproducing activities, developers, issues and events in the project, and it generates statistics, e.g., on throughput, total time, and lead and cycle time. The aim of this simulation model is thus to analyze the tradeoffs regarding throughput, total time, project size, and team size. Furthermore, the modified simulation model aims to help project managers select the most suitable planning alternative. Based on observed projects in Finland and Spain, we simulated a distributed project using artificial and real data. Particularly, we studied the variables project size, team size, throughput, and total project duration. A comparison of the real project data with the results obtained from the simulation shows the simulation producing results close to the real data, and we could successfully replicate a distributed software project. By improving the understanding of distributed development processes, our simulation model thus supports project managers in their decision-making.
KW  - software process development
KW  - distributed development
KW  - process simulation
KW  - simulation model
KW  - Cloud
KW  - Scrumban
Y1  - 2017
SN  - 978-1-4503-4853-9
SB  - 978-1-4503-4853-9
U6  - https://doi.org/10.1145/3143434.3143462
DO  - https://doi.org/10.1145/3143434.3143462
SP  - 11
S1  - 11
PB  - Association for Computing Machinery
CY  - New York, NY
ER  -