Configuring Software Product Line Feature Models Based on Stakeholders’ Soft and Hard Requirements

2010 ◽  
pp. 16-31 ◽  
Author(s):  
Ebrahim Bagheri ◽  
Tommaso Di Noia ◽  
Azzurra Ragone ◽  
Dragan Gasevic
Keyword(s):  
Software Product Line ◽  
Product Line ◽  
Feature Models ◽  
Line Feature ◽  
Software Product

scholarly journals Multi-Objective Optimum Solutions for IoT-Based Feature Models of Software Product Line

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 12228-12239 ◽  
Author(s):  
Asad Abbas ◽  
Isma Farah Siddiqui ◽  
Scott Uk-Jin Lee ◽  
Ali Kashif Bashir ◽  
Waleed Ejaz ◽  
...  
Keyword(s):  
Software Product Line ◽  
Product Line ◽  
Feature Models ◽  
Multi Objective ◽  
Software Product

scholarly journals Binary Pattern for Nested Cardinality Constraints for Software Product Line of IoT-Based Feature Models

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 3971-3980 ◽  
Author(s):  
Asad Abbas ◽  
Isma Farah Siddiqui ◽  
Scott Uk-Jin Lee ◽  
Ali Kashif Bashir
Keyword(s):  
Software Product Line ◽  
Product Line ◽  
Feature Models ◽  
Cardinality Constraints ◽  
Software Product

scholarly journals Feature Models Preconfiguration Based on User Profiling

2019 ◽  
Vol 12 (1) ◽  
pp. 59
Author(s):  
Ikram Dehmouch ◽  
Bouchra El Asri ◽  
Maryem Rhanoui ◽  
Mina El Maallam
Keyword(s):  
User Profile ◽  
Software Product Line ◽  
Product Line ◽  
Feature Modeling ◽  
User Profiling ◽  
Market Segment ◽  
Feature Models ◽  
Software Products ◽  
Software Product ◽  
Definition Of

Feature modeling is used to express commonality and variability among a family of software products called the software product line. To offer customized products to their customers, organizations need to build packages of features taking into consideration customer needs and preferences. This paper presents a platform named SPLP (Software Product Line Profiling) which allows pre-configuring feature models through the restriction of the configuration space to meet the requirements of a specific market segment. Considering that concerns and preferences of this latter are a key criteria to achieve a tailored pre-configuration, authors propose the integration of user profiling in the SPLP platform through the definition of a user profile model describing information about the user and the products he is used to consume. This information is then exploited by the SPLP platform to perform an automated pre-configuration according to each user profile requirements and preferences.

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