DocumentCode :
1996495
Title :
Scheduling Product Line Features for Effective Roadmapping
Author :
Savolainen, Juha ; Kuusela, Juha
Author_Institution :
Office of the CTO Helsinki, Helsinki, Finland
fYear :
2008
fDate :
3-5 Dec. 2008
Firstpage :
195
Lastpage :
202
Abstract :
Large industrial product lines may produce tens of thousands of variants each year. Each variant typically contains both reusable assets as well as product specific code created by different organizational units. To produce this vast number of variants the organizational resources must be used efficiently. For roadmapping this means an ability to schedule production of reusable assets so that all variants can be completed according to their requirements. When aiming for centralized variability management, roadmapping requires effective management of product line feature dependences and priorities. In this paper, we first introduce the problems haunting feature roadmapping in industrial product lines. Then we investigate how these problems can be solved using a novel approach for organizing product lines based on our practical experiences. Finally, we discuss our experiences and compare our approach with results by other researchers.
Keywords :
formal specification; product development; scheduling; software development management; software maintenance; software reusability; centralized variability management; organizational resource; product line roadmapping; product specific code; requirements scheduling; reusable asset; software product line evolution; software product line feature dependency management; Computer industry; Job shop scheduling; Organizing; Portfolios; Pricing; Production; Software engineering; Technology management; Testing; Product line; feature modelling; reuse; roadmapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering Conference, 2008. APSEC '08. 15th Asia-Pacific
Conference_Location :
Beijing
ISSN :
1530-1362
Print_ISBN :
978-0-7695-3446-6
Type :
conf
DOI :
10.1109/APSEC.2008.21
Filename :
4724548
Link To Document :
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