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![Transformation. FeatureVisu uses a nodelink visualization built on top of a clustering method to depict the feature cohesion metric. For instance, on the left side, we can observe how the implementation elements of the feature BaliBuild (green) are more cohesive than those of the features Bali (blue) and CodeGen (red). On the right side, we can observe an excerpt of the previous layout but this time showing the dependency links between the implementation elements. Figure credits [S6]. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)](profile/Raul-Medeiros/publication/364040219/figure/fig4/AS:11431281094261768@1667402811642/Transformation-FeatureVisu-uses-a-nodelink-visualization-built-on-top-of-a-clustering.jpg)
Transformation. FeatureVisu uses a nodelink visualization built on top of a clustering method to depict the feature cohesion metric. For instance, on the left side, we can observe how the implementation elements of the feature BaliBuild (green) are more cohesive than those of the features Bali (blue) and CodeGen (red). On the right side, we can observe an excerpt of the previous layout but this time showing the dependency links between the implementation elements. Figure credits [S6]. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
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Context
Variant-Rich Systems (VRSs), such as Software Product Lines or variants created through clone & own, are created to satisfy different needs while reusing existing assets. The long lifespan of families of variants, and the scale of both the technical side (implementation size) and the organizational side (roles diversity) make their maintena...
Context in source publication
Citations
... Our findings contribute to bringing the attention of practitioners to problems that can be generated by using opportunistic reuse practices for software reuse and variability management. Furthermore, the results of our field study generate opportunities for new studies and tooling for variability debt management in the opportunistic reuse scenario including more advanced visualization support for variants evolution [32] that could improve, for example, the automation and quality of the analyses described in Section 5.1. ...
... The visualization aspect is essential as it enables decision makers to analyze the proximity of the optimal solution [97][98][99][100][101]. Using different types of visualizations will increase the visibility of the algorithm [100,[102][103][104][105] and deriving various additional data will help the analysis process [93,100,106]. ...
... The visualization aspect is essential as it enables decision makers to analyze the proximity of the optimal solution [97][98][99][100][101]. Using different types of visualizations will increase the visibility of the algorithm [100,[102][103][104][105] and deriving various additional data will help the analysis process [93,100,106]. ...
... The visualization aspect is essential as it enables decision makers to analyze the proximity of the optimal solution [97][98][99][100][101]. Using different types of visualizations will increase the visibility of the algorithm [100,[102][103][104][105] and deriving various additional data will help the analysis process [93,100,106]. ...
All rights reserved. Printed in the United States of America. No part of this publication may be reproduced, distributed, or transmitted, in any form or by any means, or stored in a data base or retrieval system, without the prior written permission of the publisher. The content and reliability of the articles are the responsibility of the authors. When using and borrowing materials reference to the publication is required.
... The visualization aspect is essential as it enables decision makers to analyze the proximity of the optimal solution [97][98][99][100][101]. Using different types of visualizations will increase the visibility of the algorithm [100,[102][103][104][105] and deriving various additional data will help the analysis process [93,100,106]. ...
... The visualization aspect is essential as it enables decision makers to analyze the proximity of the optimal solution [97][98][99][100][101]. Using different types of visualizations will increase the visibility of the algorithm [100,[102][103][104][105] and deriving various additional data will help the analysis process [93,100,106]. ...
... The visualization aspect is essential as it enables decision makers to analyze the proximity of the optimal solution [97][98][99][100][101]. Using different types of visualizations will increase the visibility of the algorithm [100,[102][103][104][105] and deriving various additional data will help the analysis process [93,100,106]. ...
All rights reserved. Printed in the United States of America. No part of this publication may be reproduced, distributed, or transmitted, in any form or by any means, or stored in a data base or retrieval system, without the prior written permission of the publisher. The content and reliability of the articles are the responsibility of the authors. When using and borrowing materials reference to the publication is required. The collection of scientific articles published is the scientific and practical publication, which contains scientific articles of students, graduate students, Candidates and Doctors of Sciences, research workers and practitioners from Europe and Ukraine. The articles contain the study, reflecting the processes and changes in the structure of modern science.
