research-article

Using similarity metrics for mining variability from software repositories

Authors:

Hermann KaindlAuthors Info & Claims

SPLC '14: Proceedings of the 18th International Software Product Line Conference: Companion Volume for Workshops, Demonstrations and Tools - Volume 2

Pages 32 - 35

https://doi.org/10.1145/2647908.2655964

Published: 15 September 2014 Publication History

Abstract

Much activity within software product line engineering has been concerned with explicitly representing and exploiting commonality and variability at the feature level for the purpose of a particular engineering task e.g. requirements specification, design, coding, verification, product derivation process, but not for comparing how similar products in the product line are with each other. In contrast, a case-based approach to software development is concerned with descriptions and models as a set of software cases stored in a repository for the purpose of searching at a product level, typically as a foundation for new product development. New products are derived by finding the most similar product descriptions in the repository using similarity metrics.

The new idea is to use such similarity metrics for mining variability from software repositories. In this sense, software product line engineering could be informed by the case-based approach. This approach requires defining and implementing such similarity metrics based on the representations used for the software cases in such a repository. It provides complementary benefits to the ones given through feature-based representations of variability and may help mining such variability.

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Cited By

Mannon MKaindl H(2022)Enhancing Product Comparison through Automated Similarity MatchingProceedings of the 26th International Conference on Evaluation and Assessment in Software Engineering10.1145/3530019.3533679(463-464)Online publication date: 13-Jun-2022
https://dl.acm.org/doi/10.1145/3530019.3533679
Kaindl HMannion M(2014)A Feature-Similarity Model for Product Line EngineeringSoftware Reuse for Dynamic Systems in the Cloud and Beyond10.1007/978-3-319-14130-5_3(34-41)Online publication date: 2014
https://doi.org/10.1007/978-3-319-14130-5_3

Index Terms

Using similarity metrics for mining variability from software repositories
1. Software and its engineering
  1. Software creation and management
    1. Software development techniques
      1. Reusability
  2. Software notations and tools
    1. Software libraries and repositories

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cover image ACM Other conferences

SPLC '14: Proceedings of the 18th International Software Product Line Conference: Companion Volume for Workshops, Demonstrations and Tools - Volume 2

September 2014

151 pages

ISBN:9781450327398

DOI:10.1145/2647908

Editors:
Stefania Gnesi
ISTI-CNR, Italy
,
Alessandro Fantechi
University of Florence, Italy
,
Maurice H. ter Beek
ISTI-CNR, Italy
,
Goetz Botterweck
Lero, Ireland
,
Martin Becker
Fraunhofer IESE, Germany
,
General Chairs:
Stefania Gnesi
ISTI-CNR, Italy
,
Alessandro Fantechi
University of Florence, Italy

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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University of Florence: University of Florence
CNR: Istituto di Scienza e Tecnologie dell Informazione

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 September 2014

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SPLC '14

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University of Florence
CNR

SPLC '14: 18th International Software Product Lines Conference - Companion Volume for Workshop, Tools and Demo papers

September 15 - 19, 2014

Florence, Italy

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Cited By

Mannon MKaindl H(2022)Enhancing Product Comparison through Automated Similarity MatchingProceedings of the 26th International Conference on Evaluation and Assessment in Software Engineering10.1145/3530019.3533679(463-464)Online publication date: 13-Jun-2022
https://dl.acm.org/doi/10.1145/3530019.3533679
Kaindl HMannion M(2014)A Feature-Similarity Model for Product Line EngineeringSoftware Reuse for Dynamic Systems in the Cloud and Beyond10.1007/978-3-319-14130-5_3(34-41)Online publication date: 2014
https://doi.org/10.1007/978-3-319-14130-5_3

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