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![Functional Testing. FeatureCloud helps identify hot-spot features, i.e., features undergoing substantial changes in their codebase from the last release of the SPL platform. FeatureCloud takes the code churn, and extracts the pre-compilation directives from the associated ifdef blocks. On these grounds, the tool generates a word-cloud using feature names as words, and pre-compilation directives as phrases. Nodes stand for features. Color opacity, font size, and distribution of nodes denote the size of the change, the scattering degree and the tangling degree, respectively, for the feature at hand. Take the case of feature AUTO_BED_LEVELING_UBL (right-upper corner in the screenshot). From the last release, this feature has been subject to few changes (light-blue color). Yet, testing is guessed to be complicated. First, this feature's changes are scattered along distinct ifdef blocks (as reflected by the medium font size). Second, these changes pertain to ifdef blocks whose pre-compilation directives involve feature AUTO_BED_LEVELING_UBL but also other five features that are depicted in the same radial branch, e.g., EEPROM_SETTING. Figure credits [S7]. (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/fig5/AS:11431281094271762@1667402811690/Functional-Testing-FeatureCloud-helps-identify-hot-spot-features-ie-features.png)
Functional Testing. FeatureCloud helps identify hot-spot features, i.e., features undergoing substantial changes in their codebase from the last release of the SPL platform. FeatureCloud takes the code churn, and extracts the pre-compilation directives from the associated ifdef blocks. On these grounds, the tool generates a word-cloud using feature names as words, and pre-compilation directives as phrases. Nodes stand for features. Color opacity, font size, and distribution of nodes denote the size of the change, the scattering degree and the tangling degree, respectively, for the feature at hand. Take the case of feature AUTO_BED_LEVELING_UBL (right-upper corner in the screenshot). From the last release, this feature has been subject to few changes (light-blue color). Yet, testing is guessed to be complicated. First, this feature's changes are scattered along distinct ifdef blocks (as reflected by the medium font size). Second, these changes pertain to ifdef blocks whose pre-compilation directives involve feature AUTO_BED_LEVELING_UBL but also other five features that are depicted in the same radial branch, e.g., EEPROM_SETTING. Figure credits [S7]. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
Source publication
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...
Contexts in source publication
Context 1
... Fig. 8 presents a bubble chart to analyze optimal variants: variants are located based on four custom non-functional metrics (battery-life, security, productivity and ...
Context 2
... Visualized elements (RQ2.1) Table 6 displays the results: 'features', 'variants', and 'implementation assets' (e.g., source code classes) are the most popular. These elements seem to satisfy the analysis needs of the most investigated scenarios (see Section 6.2), i.e., 'Variant Synchronization' and 'Feature Identification and Location'. Fig. 8) are by far the most popular visualization techniques. This coincides with visualizations for oneoff development [10]. In total, we found 11 different visualization techniques. We note that 16 primary sources implemented more than one: 'heatmap' and 'enriched software diagram' (see Fig. 9) [S9]; 'tabular/matrix' and 'enriched software ...
Context 3
... 'enriched software diagram' (see Fig. 9) [S9]; 'tabular/matrix' and 'enriched software diagram' [S26]; 'tabular/matrix' and 'line chart' [S11]; 'alluvial diagram' and 'bar chart' (see Fig. 2) [S2]; 'tabular/matrix' and 'bar chart' [S31,S14]; 'tabular/matrix', 'bubble chart', 'treemap' and 'heatmap' [S36]; 'tabular/matrix' and 'bubble chart' (see Fig. 8) [S8]; 'nodelink diagram ' and 'tabular/matrix' [S34,S40]; 'bar chart', 'heatmap' and 'treemap' (see Fig. 3) [S3]; 'tabular/matrix ' and 'heatmap' [S16]; 'bar chart' and 'nodelink diagram' (see Fig. 1) [S1]; 'nodelink diagram' and 'word cloud' (see Fig. 7) [S7]; 'tabular/matrix', 'bar chart' and 'enriched software diagram' (see Fig. 5) ...
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.
