scholarly journals Context modeling based on feature models expressed as views on ontologies via mappings

2015 ◽  
Vol 12 (3) ◽  
pp. 961-977 ◽  
Author(s):  
Sinisa Neskovic ◽  
Rade Matic
Keyword(s):  
Contextual Information ◽  
Product Line ◽  
Feature Model ◽  
Local Context ◽  
Context Modeling ◽  
Feature Models ◽  
Context Model ◽  
Global Context ◽  
Software Product ◽  
Global And Local

This paper presents an approach for context modeling in complex self adapted systems consisting of many independent context-aware applications. The contextual information used for adaptation of all system applications is described by an ontology treated as a global context model. A local context model tailored to the specific needs of a particular application is defined as a view over the global context in the form of a feature model. Feature models and their configurations derived from the global context state are then used by a specific dynamic software product line in order to adapt applications at runtime. The main focus of the paper is on the realization of mappings between global and local contexts. The paper describes an overall model architecture and provides corresponding metamodels as well as rules for a mapping between feature models and ontologies.

Addressing Non-Functional Properties in Feature Models: A Goal-Oriented Approach

2014 ◽  
Vol 24 (10) ◽  
pp. 1439-1487 ◽  
Author(s):  
Mehdi Noorian ◽  
Mohsen Asadi ◽  
Ebrahim Bagheri ◽  
Weichang Du
Keyword(s):  
Functional Properties ◽  
Product Line ◽  
Feature Model ◽  
Software Systems ◽  
Feature Models ◽  
Target Domain ◽  
Product Lines ◽  
Software Products ◽  
Software Product ◽  
Goal Models

Software Product Line (SPL) engineering is a systematic reuse-based software development approach which is founded on the idea of building software products using a set of core assets rather than developing individual software systems from scratch. Feature models are among the widely used artefacts for SPL development that mostly capture functional and operational variability of a system. Researchers have argued that connecting intentional variability models such as goal models with feature variability models in a target domain can enrich feature models with valuable quality and non-functional information. Interrelating goal models and feature models has already been proposed in the literature for capturing non-functional properties in software product lines; however, this manual integration process is cumbersome and tedious. In this paper, we propose a (semi) automated approach that systematically integrates feature models and goal models through standard ontologies. Our proposed approach connects feature model and goal model elements through measuring the semantic similarity of their annotated ontological concepts. Our work not only provides the means to systematically interrelate feature models and goal models but also allows domain engineers to identify and model the role and significance of non-functional properties in the domain represented by the feature model.

Hybrid Model using Firefly and BBO for Feature Selection in Software Product Line

2020 ◽  
Vol 13 ◽  
Author(s):  
Hitesh Yadav ◽  
Rita Chhikara ◽  
Charan Kumari
Keyword(s):  
Hybrid Model ◽  
High Performance ◽  
Software Product Line ◽  
Product Line ◽  
Feature Model ◽  
Software Systems ◽  
Feature Sets ◽  
Research Article ◽  
Software Product ◽  
Multiple Variants

Background: Software Product Line is the group of multiple software systems which share the similar set of features with multiple variants. Feature model is used to capture and organize features used in different multiple organization. Objective: The objective of this research article is to obtain an optimized subset of features which are capable of providing high performance. Methods: In order to achieve the desired objective, two methods have been proposed. a) An improved objective function which is used to compute the contribution of each feature with weight based methodology. b) A hybrid model is employed to optimize the Software Product Line problem. Results: Feature sets varying in size from 100 to 1000 have been used to compute the performance of the Software Product Line. Conclusion: The results shows that proposed hybrid model outperforms the state of art metaheuristic algorithms.

scholarly journals Feature Model Configuration Based on Two-Layer Modelling in Software Product Lines

2019 ◽  
Vol 9 (4) ◽  
pp. 2648
Author(s):  
Elham Darmanaki Farahani ◽  
Jafar Habibi
Keyword(s):  
Product Line ◽  
Feature Model ◽  
Functional Requirements ◽  
Product Lines ◽  
Software Products ◽  
Model Configuration ◽  
Software Product ◽  
Software And Hardware ◽  
Application Requirements

The aim of the Software Product Line (SPL) approach is to improve the software development process by producing software products that match the stakeholders’ requirements. One of the important topics in SPLs is the feature model (FM) configuration process. The purpose of configuration here is to select and remove specific features from the FM in order to produce the required software product. At the same time, detection of differences between application’s requirements and the available capabilities of the implementation platform is a major concern of application requirements engineering. It is possible that the implementation of the selected features of FM needs certain software and hardware infrastructures such as database, operating system and hardware that cannot be made available by stakeholders. We address the FM configuration problem by proposing a method, which employs a two-layer FM comprising the application and infrastructure layers. We also show this method in the context of a case study in the SPL of a sample E-Shop website. The results demonstrate that this method can support both functional and non-functional requirements and can solve the problems arising from lack of attention to implementation requirements in SPL FM selection phase.

scholarly journals Mobile Serious Game Design using User Experience: Modeling of Software Product Line Variability

2019 ◽  
Vol 14 (23) ◽  
pp. 55
Author(s):  
Chaimae Meftah ◽  
Asmaâ Retbi ◽  
Samir Bennani ◽  
Mohamed Khalidi Idrissi
Keyword(s):  
User Experience ◽  
Game Design ◽  
Software Product Line ◽  
Product Line ◽  
Feature Model ◽  
Generic Model ◽  
Learner Engagement ◽  
New Approach ◽  
Wide Range ◽  
Software Product

In recent years, gamification has emerged as a new approach to increasing learner engagement. It covers a very wide range of games with very different purposes and with many fields of application. However, most of the gamification solutions proposed do not adopt the same modeling approach and little attention has been paid to mobile serious games (MSG) belonging to different pedagogical contexts. In order to overcome these difficulties, we have developed in this paper a generic model based on the Software Product Line (SPL) approach to manage the common and variable points of the MSG product set. We have also focused on the User eXperience (UX) concept to study the aspects that most affect the player’s experience in the context of MSGs. These aspects have been modeled in the form of features in the SPL Feature Model. MSG designers can use the model proposed during the development process, both to manage variability and to create an effective and fun learning environment.

scholarly journals CyberSPL: A Framework for the Verification of Cybersecurity Policy Compliance of System Configurations Using Software Product Lines

2019 ◽  
Vol 9 (24) ◽  
pp. 5364 ◽  
Author(s):  
Ángel Jesús Varela-Vaca  ◽  
Rafael M. Gasca ◽  
Rafael Ceballos ◽  
María Teresa Gómez-López ◽  
Pedro Bernáldez Torres
Keyword(s):  
Automated Analysis ◽  
Software Product Lines ◽  
Product Line ◽  
Feature Models ◽  
Product Lines ◽  
Software Products ◽  
Wide Range ◽  
Proposal A ◽  
Software Product ◽  
Real Scenario

Cybersecurity attacks affect the compliance of cybersecurity policies of the organisations. Such disadvantages may be due to the absence of security configurations or the use of default configuration values of software products and systems. The complexity in the configuration of products and systems is a known challenge in the software industry since it includes a wide range of parameters to be taken into account. In other contexts, the configuration problems are solved using Software Product Lines. This is the reason why in this article the framework Cybersecurity Software Product Line (CyberSPL) is proposed. CyberSPL is based on a methodology to design product lines to verify cybersecurity policies according to the possible configurations. The patterns to configure the systems related to the cybersecurity aspects are grouped by defining various feature models. The automated analysis of these models allows us to diagnose possible problems in the security configurations, reducing or avoiding them. As support for this proposal, a multi-user and multi-platform solution has been implemented, enabling setting a catalogue of public or private feature models. Moreover, analysis and reasoning mechanisms have been integrated to obtain all the configurations of a model, to detect if a configuration is valid or not, including the root cause of problems for a given configuration. For validating the proposal, a real scenario is proposed where a catalogue of four different feature models is presented. In this scenario, the models have been analysed, different configurations have been validated, and several configurations with problems have been diagnosed.

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
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