Towards a Solution for Change Impact Analysis of Software Product Line Products

2011 ◽  
Author(s):  
Bartosz Michalik ◽  
Danny Weyns
Keyword(s):  
Impact Analysis ◽  
Software Product Line ◽  
Product Line ◽  
Change Impact Analysis ◽  
Software Product ◽  
Change Impact

scholarly journals Feature-Level Change Impact Analysis Using Formal Concept Analysis

2015 ◽  
Vol 25 (01) ◽  
pp. 69-92 ◽  
Author(s):  
Hamzeh Eyal Salman ◽  
Abdelhak-Djamel Seriai ◽  
Christophe Dony
Keyword(s):  
Formal Concept Analysis ◽  
Impact Analysis ◽  
Software Product Line ◽  
Concept Analysis ◽  
Product Line ◽  
Formal Concept ◽  
Change Impact Analysis ◽  
Level Change ◽  
Software Product ◽  
Change Impact

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.

CASPL

2018 ◽  
pp. 380-396
Author(s):  
Anissa Benlarabi ◽  
Amal Khtira ◽  
Bouchra El Asri
Keyword(s):  
Impact Analysis ◽  
Software Product Lines ◽  
Product Line ◽  
Product Lines ◽  
Evolution Analysis ◽  
Software Product ◽  
History Of ◽  
Change Impact ◽  
Evolution Understanding ◽  
Development Paradigm

Software product line engineering is a development paradigm based on reuse. It builds a common platform from which a set of applications can be derived. Despite its advantage of enhancing time to market and costs, it presents some complications. Among them, the complexity of its evolution because all the components are shared between the derived products. For this reason, the change impact analysis and the evolution understanding in software product lines require greater focus than in single software. In this chapter, the authors present CASPL platform for co-evolution analysis in software product lines. The platform uses evolutionary trees that are mainly used in biology to analyze the co-evolution between applications. The major goal is to enhance the change understanding and to compare the history of changes in the applications of the family, at the aim of correcting divergences between them.

scholarly journals Change impact analysis for evolving configuration decisions in product line use case models

2018 ◽  
Vol 139 ◽  
pp. 211-237 ◽  
Author(s):  
Ines Hajri ◽  
Arda Goknil ◽  
Lionel C. Briand ◽  
Thierry Stephany
Keyword(s):  
Impact Analysis ◽  
Product Line ◽  
Use Case ◽  
Change Impact Analysis ◽  
Use Case Models ◽  
Change Impact

Change Impact Analysis in Product-Line Architectures

2011 ◽  
pp. 114-129 ◽  
Author(s):  
Jessica Díaz ◽  
Jennifer Pérez ◽  
Juan Garbajosa ◽  
Alexander L. Wolf
Keyword(s):  
Impact Analysis ◽  
Product Line ◽  
Change Impact Analysis ◽  
Change Impact

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.

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