scholarly journals variED: an editor for collaborative, real-time feature modeling

2021 ◽  
Vol 26 (2) ◽  
Author(s):  
Elias Kuiter ◽  
Sebastian Krieter ◽  
Jacob Krüger ◽  
Gunter Saake ◽  
Thomas Leich

AbstractFeature models are a helpful means to document, manage, maintain, and configure the variability of a software system, and thus are a core artifact in software product-line engineering. Due to the various purposes of feature models, they can be a cross-cutting concern in an organization, integrating technical and business aspects. For this reason, various stakeholders (e.g., developers and consultants) may get involved into modeling the features of a software product line. Currently, collaboration in such a scenario can only be done with face-to-face meetings or by combining single-user feature-model editors with additional communication and version-control systems. While face-to-face meetings are often costly and impractical, using version-control systems can cause merge conflicts and inconsistency within a model, due to the different intentions of the involved stakeholders. Advanced tools that solve these problems by enabling collaborative, real-time feature modeling, analogous to Google Docs or Overleaf for text editing, are missing. In this article, we build on a previous paper and describe (1) the extended formal foundations of collaborative, real-time feature modeling, (2) our conflict resolution algorithm in more detail, (3) proofs that our formalization converges and preserves causality as well as user intentions, (4) the implementation of our prototype, and (5) the results of an empirical evaluation to assess the prototype’s usability. Our contributions provide the basis for advancing existing feature-modeling tools and practices to support collaborative feature modeling. The results of our evaluation show that our prototype is considered helpful and valuable by 17 users, also indicating potential for extending our tool and opportunities for new research directions.

2019 ◽  
Vol 12 (1) ◽  
pp. 59
Author(s):  
Ikram Dehmouch ◽  
Bouchra El Asri ◽  
Maryem Rhanoui ◽  
Mina El Maallam

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.


2009 ◽  
pp. 299-310
Author(s):  
Li Zheng ◽  
Chao Zhang ◽  
Zhanwei Wu ◽  
Yixin Yan

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 12228-12239 ◽  
Author(s):  
Asad Abbas ◽  
Isma Farah Siddiqui ◽  
Scott Uk-Jin Lee ◽  
Ali Kashif Bashir ◽  
Waleed Ejaz ◽  
...  

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 3971-3980 ◽  
Author(s):  
Asad Abbas ◽  
Isma Farah Siddiqui ◽  
Scott Uk-Jin Lee ◽  
Ali Kashif Bashir

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