Abstract | ||
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It is well known that the variability model, which captures the commonality and variability of the software product families, is very important to the software product line. Current software product line variability modeling methods relies on the analysis ability of the domain analysts heavily. When the single system of product families is large, it will be difficult to establishing the variability model. A new variability modeling method is presented, and product feature model is defined to facilitate modeling of single software system of product families, then, the variability models are constructed by model difference and merging. Signature and structure based model difference method is presented, and merge operator is defined to merging models. Experimental results show the efficiency of our variability modelling method. |
Year | DOI | Venue |
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2012 | 10.1109/COMPSACW.2012.95 | COMPSAC Workshops |
Keywords | Field | DocType |
software product line,new variability modeling method,signature based model difference method,product family,model difference,software product family,model merge,structure based model difference method,variability modeling method,variability modelling method,merging,product development,current software product line,merging models,product feature model,product line variability,merge operator,product family single software system,software reusability,product families,variability model,software product line variability modeling methods,data models,feature extraction,accuracy | Data mining,Data modeling,Systems engineering,Computer science,Software system,Feature extraction,Feature model,Software,Operator (computer programming),Software product line,New product development | Conference |
ISBN | Citations | PageRank |
978-0-7695-4758-9 | 1 | 0.35 |
References | Authors | |
8 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kunming Nie | 1 | 39 | 4.16 |
Li Zhang | 2 | 141 | 20.37 |
Zengtao Geng | 3 | 1 | 0.35 |