Identifying Traceability between Feature Model and Software Architecture in Software Product Line using Formal Concept Analysis

Author(s):  
Tonny Kurniadi Satyananda ◽  
Danhyung Lee ◽  
Sungwon Kang ◽  
Sajid Ibrahim Hashmi
Author(s):  
Hamzeh Eyal Salman ◽  
Abdelhak-Djamel Seriai ◽  
Christophe Dony

Software Product Line Engineering (SPLE) is a systematic reuse approach to develop a short time-to-market and quality products, called Software Product Line (SPL). Usually, a SPL is not developed from scratch but it is developed by reusing features (resp. their implementing source code elements) of existing similar systems previously developed by ad-hoc reuse techniques. The features implementations that are reused may be changed for developing new products (SPL) using SPLE. Any code element can be a part of (shared by) different features implementations; modifying one feature's implementation can thus impact others. Therefore, feature-level Change Impact Analysis (CIA) is important to predict affected features for change management purpose. In this paper, we propose a feature-level CIA approach using Formal Concept Analysis (FCA) applied to SPL evolution. In our experimental evaluation using three case studies of different domains and sizes, we show the effectiveness of our technique in terms of the most commonly used metrics on the subject.


Author(s):  
Maria Eugenia Cabello ◽  
Isidro Ramos ◽  
Oscar Alberto Santana ◽  
Saúl Iván Beristain

This paper presents a process, a method and a framework for developing families of software systems in a domain. The process is generic (domain-independent) and produces skeleton software architectures as Software Product Lines. The genericity is supported by the metamodels (abstract languages) that are defined in order to describe the Reference Architecture (structure view, behavior view and variability view) of the system domain. A standardized Production Plan takes the Reference Architecture as input and produces the equivalent Skeleton Software Architecture (component-connector view) using a Feature Model configuration (describing the system to be) as output. This Skeleton Software Architecture includes the structure and behavior of the target software product. A framework has been implemented to support the approach. The process is applied, as an example, to the Diagnostic Expert Systems domain. Our approach is based on Model-Driven Engineering techniques and the Software Product Line paradigm. A domain analysis must be done in order to build the Reference Architecture.


2014 ◽  
Vol 998-999 ◽  
pp. 1085-1091 ◽  
Author(s):  
Ni Yun Jia ◽  
Guan Zhong Yang

Feature modeling is a main stream technology in domain requirement analysis of software product line engineering. Establishing the traceability between feature model and software architecture plays the essential role in improving software quality. Based on Formal Concept Analysis technology, we proposed a method to verify traceability between feature model and software architecture. The method analyzed the constitution of the feature, defined feature model and software architecture function expression, constructed a concept lattice and presented several mapping criteria to analysis it. It is more applicable for higher complexity model, comparing to the other model traceability method. A case study is used to demonstrate the feasibility of the method.


Author(s):  
Hitesh Yadav ◽  
Rita Chhikara ◽  
Charan Kumari

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.


Author(s):  
Chaimae Meftah ◽  
Asmaâ Retbi ◽  
Samir Bennani ◽  
Mohamed Khalidi Idrissi

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.


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