loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Thais S. Nepomuceno and Edson OliveiraJr

Affiliation: State University of Maringá, Maringá, Brazil

Keyword(s): Class Diagram, Experiment, Product Configuration, Sequence Diagram, Software Product Lines, Traceability, UML.

Abstract: A set of systems that share common and variable parts is called a Software Product Line (SPL). These kind of systems are usually part of the same market segment. Their elements that vary are what allow the diversification among products from the same family, thus managing variability is an important issue of SPL engineering. There are few studies in the literature that evaluate and compare approaches to SPL variability management in UML-based SPLs. In this work, two of the existing approaches, SMarty and Ziadi et al., are compared throughout an experiment to verify: the effectiveness in configuring products based on UML class and sequence diagrams; the influence of the participants knowledge on UML, SPL and variability in the effectiveness results; and how traceability is performed in each approach. Results show the SMarty approach is statically superior with relation to Ziadi et al. for the effectiveness at configuring products with class and sequence diagrams. Regarding the knowled ge level needed to a better effectiveness, SMarty demands less knowledge than Ziadi et al. In addition, Ziadi et al. provides no means to round-trip trace variabilities in class and sequence diagrams, thus SMarty was previously designed to allow it. (More)

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 3.22.70.9

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:
Nepomuceno, T. and OliveiraJr, E. (2021). Software Product Line Traceability and Product Configuration in Class and Sequence Diagrams: An Empirical Study. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-509-8; ISSN 2184-4992, SciTePress, pages 197-204. DOI: 10.5220/0010411001970204

@conference{iceis21,
author={Thais S. Nepomuceno. and Edson OliveiraJr.},
title={Software Product Line Traceability and Product Configuration in Class and Sequence Diagrams: An Empirical Study},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2021},
pages={197-204},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010411001970204},
isbn={978-989-758-509-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Software Product Line Traceability and Product Configuration in Class and Sequence Diagrams: An Empirical Study
SN - 978-989-758-509-8
IS - 2184-4992
AU - Nepomuceno, T.
AU - OliveiraJr, E.
PY - 2021
SP - 197
EP - 204
DO - 10.5220/0010411001970204
PB - SciTePress