Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11889/4529
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sayyad, Abdel Salam | - |
dc.contributor.author | Ingram, Joseph | - |
dc.contributor.author | Menzies, Tim | - |
dc.contributor.author | Ammar, Hany | - |
dc.date.accessioned | 2017-03-16T07:05:13Z | - |
dc.date.available | 2017-03-16T07:05:13Z | - |
dc.date.issued | 2013 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11889/4529 | - |
dc.description.abstract | Software product lines are hard to configure. Techniques that work for medium sized product lines fail for much larger product lines such as the Linux kernel with 6000+ features. This paper presents simple heuristics that help the Indicator-Based Evolutionary Algorithm (IBEA) in finding sound and optimum configurations of very large variability models in the presence of competing objectives. We employ a combination of static and evolutionary learning of model structure, in addition to utilizing a pre-computed solution used as a “seed” in the midst of a randomly-generated initial population. The seed solution works like a single straw that is enough to break the camel’s back –given that it is a feature-rich seed. We show promising results where we can find 30 sound solutions for configuring upward of 6000 features within 30 minutes | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Model-integrated computing | en_US |
dc.subject | Computer software - Development | en_US |
dc.subject | Artificial intelligence | en_US |
dc.subject | Multiple criteria decision making | en_US |
dc.subject | Mathematical optimization | en_US |
dc.subject | Data mining | en_US |
dc.subject | Pattern recognition systems | en_US |
dc.subject | SMT solvers | en_US |
dc.title | Scalable product line configuration: A straw to break the camel's back | en_US |
dc.type | Article | en_US |
newfileds.department | Engineering and TechnologyEngineering and Technology | en_US |
newfileds.item-access-type | open_access | en_US |
newfileds.thesis-prog | none | en_US |
newfileds.general-subject | Computers and Information Technology | الحاسوب وتكنولوجيا المعلومات | en_US |
item.languageiso639-1 | other | - |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
Appears in Collections: | Fulltext Publications |
Files in This Item:
File | Description | Size | Format | |
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176ef4196797603ae2ca68ff353bb4233668.pdf | 1.29 MB | Adobe PDF | View/Open |
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