loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Yenisei Delgado Verdecia and Thelma Elita Colanzi

Affiliation: State University of Maringa (UEM), Brazil

ISBN: 978-989-758-248-6

Keyword(s): Product Line Architecture, Correlated Metrics, Search-based Design, Evaluation Model.

Related Ontology Subjects/Areas/Topics: Enterprise Information Systems ; Information Systems Analysis and Specification ; Software Engineering ; Software Metrics and Measurement

Abstract: The Product Line Architecture (PLA) plays a central role at the products development from a Software Product Line (SPL). PLA design is a people-intensive and non-trivial task. So, PLA design can be considered a hard problem which could be formulated as an optimization problem with many factors to be solved by search algorithms. In this sense, the approach named MOA4PLA (Multi-Objective Approach for Product-Line Architecture Design) was proposed to automatically identify the best alternatives for a PLA design. This approach originally included metrics to evaluate basic design principles, feature modularization, design elegance and SPL extensibility. However, there are other relevant properties for PLA design. For this reason, the evaluation model of MOA4PLA was extended with metrics to measure the level of similarity and adaptability of the PLA. The objective of this work is to investigate the possible correlation between the metrics related to similarity and variability in order to de crease the number of functions to be optimized. To do this, three experiments were carried out. Empirical results allow to learn some lessons regarding to these metrics in the referred context. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.214.184.250

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Delgado Verdecia, Y. and Colanzi, T. (2017). Correlation between Similarity and Variability Metrics in Search-based Product Line Architecture: Experimental Study and Lessons Learned.In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-248-6, pages 533-541. DOI: 10.5220/0006372605330541

@conference{iceis17,
author={Yenisei Delgado Verdecia. and Thelma Elita Colanzi.},
title={Correlation between Similarity and Variability Metrics in Search-based Product Line Architecture: Experimental Study and Lessons Learned},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2017},
pages={533-541},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006372605330541},
isbn={978-989-758-248-6},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Correlation between Similarity and Variability Metrics in Search-based Product Line Architecture: Experimental Study and Lessons Learned
SN - 978-989-758-248-6
AU - Delgado Verdecia, Y.
AU - Colanzi, T.
PY - 2017
SP - 533
EP - 541
DO - 10.5220/0006372605330541

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.