Paper Info
Title
Predicting Return-on-Investment for Product Line Generations
Abstract
The decision of an organization to introduce product line engineering depends on a sound and careful analysis of risks and return on investment. The latter is computed by an economic model, which relies on high quality input and must reflect the envisioned migration strategy sufficiently. To facilitate risk analysis, this paper applies Monte-Carlo simulation to an existing product line economic model. Additionally, the model is extended by the support of product line generations that is, considering the degeneration of product line infrastructures and taking reinvestment into an existing product line into account. The practical application of the model is demonstrated by an industrial case study
Year
DOI
Venue
2006
10.1109/SPLINE.2006.1691573
Baltimore, MD
Keywords
Field
DocType
predicting return-on-investment,software product family,feature modelling,large number,conceptual foundation,popular method,product line generations,return on investment,monte carlo simulation,economic model,risk analysis,product line engineering,investment,monte carlo methods
Monte Carlo method,Domain engineering,Economic model,Return on investment,Systems engineering,Risk analysis (business),Software economics,Computer science,Product line
Conference
ISBN
Citations 
PageRank 
0-7695-2599-7
18
1.27
References 
Authors
2
3
Name
Order
Citations
PageRank
Dharmalingam Ganesan116413.87
Dirk Muthig21337117.50
Kentaro Yoshimura3838.87