research-article

Generating feature models from requirements: structural vs. functional perspectives

Authors:

Iris Reinhartz-BergerAuthors Info & Claims

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

Pages 44 - 51

https://doi.org/10.1145/2647908.2655966

Published: 15 September 2014 Publication History

Abstract

Adoption of SPLE techniques is challenging and expensive. Hence, automation in the adoption process is desirable, especially with respect to variability management. Different methods have been suggested for (semi-)automatically generating feature models from requirements or textual descriptions of products. However, while there are different ways to represent the same SPL in feature models, addressing different stakeholders' needs and preferences, existing methods usually follow fixed, predefined ways to generate feature models. As a result, the generated feature models may represent perspectives less relevant to the given tasks.

In this paper we suggest an ontological approach that measures the semantic similarity, extracts variability, and automatically generates feature models that represent structural (objects-related) or functional (actions-related) perspectives. The stakeholders are able to control the perspective of the generated feature models, considering their needs and preferences for given tasks.

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Cited By

Schulze SLi Y(2022)Feature and Variability Extraction from Natural Language RequirementsHandbook of Re-Engineering Software Intensive Systems into Software Product Lines10.1007/978-3-031-11686-5_2(31-52)Online publication date: 5-Jul-2022
https://doi.org/10.1007/978-3-031-11686-5_2
Sree-Kumar APlanas EClarisó R(2021)Validating Feature Models With Respect to Textual Product Line SpecificationsProceedings of the 15th International Working Conference on Variability Modelling of Software-Intensive Systems10.1145/3442391.3442407(1-10)Online publication date: 9-Feb-2021
https://dl.acm.org/doi/10.1145/3442391.3442407
Javed MLin Y(2021)iMER-FM: Iterative Process of System Feature Model Extraction from the RequirementsInternational Journal of Software Engineering and Knowledge Engineering10.1142/S021819402150015731:03(435-475)Online publication date: 31-Mar-2021
https://doi.org/10.1142/S0218194021500157
Show More Cited By

Index Terms

Generating feature models from requirements: structural vs. functional perspectives
1. Software and its engineering
  1. Software notations and tools
    1. Context specific languages
      1. Domain specific languages
    2. System description languages
      1. Specification languages

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Published In

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

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Published: 15 September 2014

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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

Schulze SLi Y(2022)Feature and Variability Extraction from Natural Language RequirementsHandbook of Re-Engineering Software Intensive Systems into Software Product Lines10.1007/978-3-031-11686-5_2(31-52)Online publication date: 5-Jul-2022
https://doi.org/10.1007/978-3-031-11686-5_2
Sree-Kumar APlanas EClarisó R(2021)Validating Feature Models With Respect to Textual Product Line SpecificationsProceedings of the 15th International Working Conference on Variability Modelling of Software-Intensive Systems10.1145/3442391.3442407(1-10)Online publication date: 9-Feb-2021
https://dl.acm.org/doi/10.1145/3442391.3442407
Javed MLin Y(2021)iMER-FM: Iterative Process of System Feature Model Extraction from the RequirementsInternational Journal of Software Engineering and Knowledge Engineering10.1142/S021819402150015731:03(435-475)Online publication date: 31-Mar-2021
https://doi.org/10.1142/S0218194021500157
Sepúlveda SBobadilla AEspinoza MEsparza V(2021)Solving Errors Detected in Feature Modeling Languages: A ProposalInformation Technology and Systems10.1007/978-3-030-68285-9_36(375-385)Online publication date: 31-Jan-2021
https://doi.org/10.1007/978-3-030-68285-9_36
Hisazumi K(2019)Feature Extraction from Japanese Natural Language Requirements Documents for Software Product Line Engineering2019 IEEE 19th International Conference on Software Quality, Reliability and Security Companion (QRS-C)10.1109/QRS-C.2019.00067(322-329)Online publication date: Jul-2019
https://doi.org/10.1109/QRS-C.2019.00067
Gacitúa RSepúlveda SMazo R(2019)FM-CFJournal of Systems and Software10.1016/j.jss.2019.04.026154:C(1-21)Online publication date: 1-Aug-2019
https://dl.acm.org/doi/10.1016/j.jss.2019.04.026
Reinhartz-Berger IShimshoni IAbdal A(2019)Behavior-Derived Variability Analysis: Mining Views for Comparison and EvaluationAdvanced Information Systems Engineering10.1007/978-3-030-21290-2_42(675-690)Online publication date: 29-May-2019
https://doi.org/10.1007/978-3-030-21290-2_42
Li Y(2018)Feature and variability extraction from natural language software requirements specificationsProceedings of the 22nd International Systems and Software Product Line Conference - Volume 210.1145/3236405.3236427(72-78)Online publication date: 10-Sep-2018
https://dl.acm.org/doi/10.1145/3236405.3236427
Li YSchulze SSaake G(2018)Reverse engineering variability from requirement documents based on probabilistic relevance and word embeddingProceedings of the 22nd International Systems and Software Product Line Conference - Volume 110.1145/3233027.3233033(121-131)Online publication date: 10-Sep-2018
https://dl.acm.org/doi/10.1145/3233027.3233033
Sree-Kumar APlanas EClarisó R(2018)Extracting software product line feature models from natural language specificationsProceedings of the 22nd International Systems and Software Product Line Conference - Volume 110.1145/3233027.3233029(43-53)Online publication date: 10-Sep-2018
https://dl.acm.org/doi/10.1145/3233027.3233029
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