Development of Digital Libraries with Software Product Line Engineering

Author(s):  
Oscar Pedreira ◽  
Delfina Ramos-Vidal ◽  
Alejandro Cortiñas ◽  
Miguel Luaces ◽  
Angeles Saavedra-Places

Digital Libraries have become popular nowadays since important libraries all over the world started distributing their collections online, properly classified, and, in many cases, with access to the digital version of the resource. These programs have been beneficial to the general population as well as research groups in fields such as language and literature. Nonetheless, since their creation is a time-consuming and costly process, small organizations are forced to rely on obsolete or poorly designed software. However, most of the features, including the data model, are shared by this type of system, with minor variations depending on the type of resources to be handled. This article presents a Software Product Line (SPL) for the semi-automatic generation of Digital Libraries (DL). Our SPL allows developers to specify which DL features are required, which will define the data model variationand the generated source code. The specification is then transformed into a fully functional DL application with the specified features that is ready for deployment. We present the feature model, the SPL implementation, and acase study on three sample projects that enabled us to evaluate the resulting software, with a focus on development effort savings.

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.


Author(s):  
Johnny Maikeo Ferreira ◽  
Silvia Regina Vergilio ◽  
Marcos Quinaia

The Feature Model (FM) is a fundamental artifact of the Software Product Line (SPL) engineering, used to represent commonalities and variabilities, and also to derive products for testing. However, the test of all features combinations (products) is not always possible in practice. Due to the growing complexity of the applications, only a subset of products is usually selected. The selection is generally based on combinatorial testing, to test features interactions. This kind of selection does not consider different classes of faults that can be present in the FM. The application of a fault-based approach, such as mutation-based testing, can increase the probability of finding faults and the confidence that the SPL products match the requirements. Considering that, this paper introduces a mutation approach to select products for the feature testing of SPLs. The approach can be used similarly to a test criterion in the generation and assessment of test cases. It includes (i) a set of mutation operators, introduced to describe typical faults associated to the feature management and to the FM; and (ii) a testing process to apply the operators. Experimental results show the applicability of the approach. The selected test case sets are capable to reveal other kind of faults, not revealed in the pairwise testing.


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.


2018 ◽  
Vol 24 (10) ◽  
pp. 7251-7256
Author(s):  
N. M Siti ◽  
Shahliza Abd Halim ◽  
Dayang N. A Jawawi ◽  
Rosbi Mamat

Author(s):  
Zdravko Roško

Abstract Software product line architecture is one of the most important artifacts defined at the early stage of a product line development process. Since the rest of the products are developed based on the initial product line architecture, it is of high importance to ensure the architecture stability by enabling the software’s evolution possibilities. Industrial evidence shows that companies spend more resources on maintaining and evolving their architecture and products than on the initial development of them. Hence, there is a need for flexible software architecture that stays stable as the requirements evolve. In this paper we propose a structural model, some architecture quality metrics, case-based reasoning methodology to predict the architectural stability and a feature model for business applications. The goal of the proposed architecture model is to develop a framework for business applications development and evaluating the stability of product line architectures in the face of changes in requirements.


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