Simulation methods
(2008) p.117-152- Abstract
- This chapter aims to raise awareness about the usefulness and importance of simulation in support of software engineering. Simulation is applied in many critical engineering areas and enables one to address issues before they become problems. Simulation – in particular process simulation – is a state of the art technology to analyze process behaviour, risks and complex systems with their inherent uncertainties. Simulation provides insights into the designs of development processes and projects before significant time and cost has been invested, and can be of great benefit in support of training. The systematic combination of simulation methods with empirical research has the potential for becoming a powerful tool in applied software... (More)
- This chapter aims to raise awareness about the usefulness and importance of simulation in support of software engineering. Simulation is applied in many critical engineering areas and enables one to address issues before they become problems. Simulation – in particular process simulation – is a state of the art technology to analyze process behaviour, risks and complex systems with their inherent uncertainties. Simulation provides insights into the designs of development processes and projects before significant time and cost has been invested, and can be of great benefit in support of training. The systematic combination of simulation methods with empirical research has the potential for becoming a powerful tool in applied software engineering research. The creation of virtual software engineering laboratories helps to allocate available resources of both industry and academia more effectively. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1667435
- author
- Müller, Mark and Pfahl, Dietmar LU
- publishing date
- 2008
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Advanced topics in empirical software engineering: a handbook
- editor
- Singer, Janice ; Shull, Forrest and Sjøberg, Dag
- pages
- 117 - 152
- publisher
- Springer
- external identifiers
-
- scopus:84890207689
- ISBN
- 978-1-84800-043-8
- DOI
- 10.1007/978-1-84800-044-5_5
- language
- English
- LU publication?
- no
- id
- b4b46a9e-4f65-4650-8a5a-da7a1620caca (old id 1667435)
- date added to LUP
- 2016-04-04 10:20:12
- date last changed
- 2022-04-16 01:34:33
@inbook{b4b46a9e-4f65-4650-8a5a-da7a1620caca, abstract = {{This chapter aims to raise awareness about the usefulness and importance of simulation in support of software engineering. Simulation is applied in many critical engineering areas and enables one to address issues before they become problems. Simulation – in particular process simulation – is a state of the art technology to analyze process behaviour, risks and complex systems with their inherent uncertainties. Simulation provides insights into the designs of development processes and projects before significant time and cost has been invested, and can be of great benefit in support of training. The systematic combination of simulation methods with empirical research has the potential for becoming a powerful tool in applied software engineering research. The creation of virtual software engineering laboratories helps to allocate available resources of both industry and academia more effectively.}}, author = {{Müller, Mark and Pfahl, Dietmar}}, booktitle = {{Advanced topics in empirical software engineering: a handbook}}, editor = {{Singer, Janice and Shull, Forrest and Sjøberg, Dag}}, isbn = {{978-1-84800-043-8}}, language = {{eng}}, pages = {{117--152}}, publisher = {{Springer}}, title = {{Simulation methods}}, url = {{http://dx.doi.org/10.1007/978-1-84800-044-5_5}}, doi = {{10.1007/978-1-84800-044-5_5}}, year = {{2008}}, }