Title :
Genetics as a role model for software variability management
Author :
Dhungana, Deepak ; Groher, Iris
Author_Institution :
Christian Doppler Lab. for Automated Software Eng.
Abstract :
Researchers are often inspired by ingenious problem solving strategies of nature. This paper is motivated by the seemingly infinite expressive power of genes (in terms of variability). To bring in the flexibility required for dealing with variable requirements and volatile assumptions in software engineering, we consider genetic variability to be a role model for software variability management. We exemplify how individual species can be seen as natural product lines. By identifying parallels between software product lines and natural product lines, we present initial ideas for software product line engineering research based on the observation of how ldquoproducts are createdrdquo in nature. We then draw conclusions about the implications for research on software product lines, thereby identifying future research directions.
Keywords :
software development management; genetic variability; software engineering; software product line engineering research; software variability management; Beak; Engineering management; Genetic engineering; Humans; Iris; Organisms; Power engineering and energy; Power system management; Software engineering; Software systems;
Conference_Titel :
Software Engineering - Companion Volume, 2009. ICSE-Companion 2009. 31st International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-3495-4
DOI :
10.1109/ICSE-COMPANION.2009.5070991