demonstration

FLOrIDA: Feature LOcatIon DAshboard for extracting and visualizing feature traces

Authors:

Andreas Burger,

Thorsten Berger,

Michel R. V. ChaudronAuthors Info & Claims

VaMoS '17: Proceedings of the 11th International Workshop on Variability Modelling of Software-Intensive Systems

Pages 100 - 107

https://doi.org/10.1145/3023956.3023967

Published: 01 February 2017 Publication History

Abstract

Features are high-level, domain-specific abstractions over implementation artifacts. Developers use them to communicate and reason about a system, in order to maintain and evolve it. These activities, however, require knowing the locations of features---a common challenge when a system has many developers, many (cloned) variants, or a long lifespan. We believe that embedding feature-location information into software artifacts via annotations eases typical feature-related engineering tasks, such as modifying and removing features, or merging cloned features into a product line. However, regardless of where such annotations stem from---whether embedded by developers when writing code, or retroactively recovered using a feature-location technique---tool support is needed for developers to exploit such annotations.

In this tool demonstration, we present a lightweight tool that extracts annotations from software artifacts, aggregates and processes them, and visualizes feature-related information for developers. Views, such as which files implement a specific feature, are presented on different levels of abstraction. Feature metrics, such as feature size, feature scattering, feature tangling, and numbers of feature authors, are also presented. Our tool also incorporates an information-retrieval-based feature-location technique to retroactively recover feature locations.

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Cited By

Brault YCollet PPinna-Dery A(2024)Visualizing Variability Implemented with Object-Orientation and Code Clones: A Tale of Two CitiesProceedings of the 28th ACM International Systems and Software Product Line Conference10.1145/3646548.3673037(107-112)Online publication date: 2-Sep-2024
https://dl.acm.org/doi/10.1145/3646548.3673037
Mahmood WÇalıklı GStrüber DLämmel RMukelabai MBerger T(2024)Virtual Platform: Effective and Seamless Variability Management for Software SystemsIEEE Transactions on Software Engineering10.1109/TSE.2024.340622450:11(2753-2785)Online publication date: Nov-2024
https://doi.org/10.1109/TSE.2024.3406224
Mukelabai MHermann KBerger TSteghöfer J(2023)FeatRacer: Locating Features Through Assisted TraceabilityIEEE Transactions on Software Engineering10.1109/TSE.2023.332471949:12(5060-5083)Online publication date: Dec-2023
https://doi.org/10.1109/TSE.2023.3324719
Show More Cited By

Index Terms

FLOrIDA: Feature LOcatIon DAshboard for extracting and visualizing feature traces
1. Software and its engineering
  1. Software creation and management
    1. Software development techniques
      1. Reusability
        Software product lines
    2. Software post-development issues
      1. Maintaining software
  2. Software organization and properties
    1. Software system structures
      1. Abstraction, modeling and modularity

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Information & Contributors

Information

Published In

cover image ACM Other conferences

VaMoS '17: Proceedings of the 11th International Workshop on Variability Modelling of Software-Intensive Systems

February 2017

114 pages

ISBN:9781450348119

DOI:10.1145/3023956

Editors:
Maurice H. ter Beek,
Norbert Siegmund,
General Chair:
Ina Schaefer
Technische Universität Braunschweig, Germany

Copyright © 2017 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 February 2017

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Conference

VaMoS '17

VaMoS '17: Eleventh International Workshop on Variability Modelling of Software-intensive Systems

February 1 - 3, 2017

Eindhoven, Netherlands

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Overall Acceptance Rate 66 of 147 submissions, 45%

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Cited By

Brault YCollet PPinna-Dery A(2024)Visualizing Variability Implemented with Object-Orientation and Code Clones: A Tale of Two CitiesProceedings of the 28th ACM International Systems and Software Product Line Conference10.1145/3646548.3673037(107-112)Online publication date: 2-Sep-2024
https://dl.acm.org/doi/10.1145/3646548.3673037
Mahmood WÇalıklı GStrüber DLämmel RMukelabai MBerger T(2024)Virtual Platform: Effective and Seamless Variability Management for Software SystemsIEEE Transactions on Software Engineering10.1109/TSE.2024.340622450:11(2753-2785)Online publication date: Nov-2024
https://doi.org/10.1109/TSE.2024.3406224
Mukelabai MHermann KBerger TSteghöfer J(2023)FeatRacer: Locating Features Through Assisted TraceabilityIEEE Transactions on Software Engineering10.1109/TSE.2023.332471949:12(5060-5083)Online publication date: Dec-2023
https://doi.org/10.1109/TSE.2023.3324719
Zakarea Alshara Salman HShatnawi ASeriai A(2023)ML-Augmented Automation for Recovering Links Between Pull-Requests and Issues on GitHubIEEE Access10.1109/ACCESS.2023.323639211(5596-5608)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3236392
Alshara ZShatnawi AEyal-Salman HSeriai AShatnawi M(2023)PI-Link: A Ground-Truth Dataset of Links Between Pull-Requests and Issues in GitHubIEEE Access10.1109/ACCESS.2022.323298211(697-710)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2022.3232982
Schneider SScandariato R(2023)Automatic extraction of security-rich dataflow diagrams for microservice applications written in JavaJournal of Systems and Software10.1016/j.jss.2023.111722202:COnline publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1016/j.jss.2023.111722
Medeiros RMartinez JDíaz OFalleri J(2023)Visualizations for the evolution of Variant-Rich SystemsInformation and Software Technology10.1016/j.infsof.2022.107084154:COnline publication date: 20-Jan-2023
https://dl.acm.org/doi/10.1016/j.infsof.2022.107084
Mortara JCollet PPinna-Dery AFelfernig AFuentes L(2022)Customizable visualization of quality metrics for object-oriented variability implementationsProceedings of the 26th ACM International Systems and Software Product Line Conference - Volume A10.1145/3546932.3547073(43-54)Online publication date: 12-Sep-2022
https://dl.acm.org/doi/10.1145/3546932.3547073
Tërnava XMortara JCollet PBerre D(2022)Identification and visualization of variability implementations in object-oriented variability-rich systems: a symmetry-based approachAutomated Software Engineering10.1007/s10515-022-00329-x29:1Online publication date: 1-May-2022
https://dl.acm.org/doi/10.1007/s10515-022-00329-x
Molenaar SSteenvoorden Evan den Berg NDalpiaz FBrinkkemper S(2022)Defining Key Concepts in Information Science Research: The Adoption of the Definition of FeatureResearch Challenges in Information Science10.1007/978-3-031-05760-1_26(442-457)Online publication date: 14-May-2022
https://doi.org/10.1007/978-3-031-05760-1_26
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