Consistency-Preserving Evolution Planning on Feature Models

Adrian Hoff; Michael Nieke; Christoph Seidl; Eirik Halvard Sæther; Ida Sandberg Motzfeldt; Crystal Chang Din; Ingrid Chieh Yu; Ina Schaefer

doi:10.1145/3382025.3414964

Consistency-Preserving Evolution Planning on Feature Models

Adrian Hoff, Michael Nieke, Christoph Seidl, Eirik Halvard Sæther, Ida Sandberg Motzfeldt, Crystal Chang Din, Ingrid Chieh Yu, Ina Schaefer

Computer Science

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

Abstract

A software product line (SPL) enables large-scale reuse in a family of related software systems through configurable features. SPLs represent a long-term investment so that their ongoing evolution becomes paramount and requires careful planning. While existing approaches enable to create an evolution plan for an SPL on feature-model (FM) level, they assume the plan to be rigid and do not support retroactive changes. In this paper, we present a method that enables to create and retroactively adapt an FM evolution plan while preventing undesired impacts on its structural and logical consistency. This method is founded in structural operational semantics and linear temporal logic. We implement our method using rewriting logic, integrate it within an FM tool suite and perform an evaluation using a collection of existing FM evolution scenarios.

Original language	English
Title of host publication	Proceedings of the 24th ACM International Systems and Software Product Line Conference
Publisher	Association for Computing Machinery
Publication date	Oct 2020
Pages	1-12
Article number	8
ISBN (Electronic)	978-1-4503-7569-6
DOIs	https://doi.org/10.1145/3382025.3414964
Publication status	Published - Oct 2020

Keywords

Software Product Line
Evolution Plan
Feature Model
Structural Operational Semantics
Linear Temporal Logic

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10.1145/3382025.3414964

Consistency-preserving evolution planning on feature modelsAccepted author manuscript, 4.53 MB

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Hoff, A., Nieke, M., Seidl, C., Halvard Sæther, E., Sandberg Motzfeldt, I., Din, C. C., Yu, I. C., & Schaefer, I. (2020). Consistency-Preserving Evolution Planning on Feature Models. In Proceedings of the 24th ACM International Systems and Software Product Line Conference (pp. 1-12). Article 8 Association for Computing Machinery. https://doi.org/10.1145/3382025.3414964

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title = "Consistency-Preserving Evolution Planning on Feature Models",

abstract = "A software product line (SPL) enables large-scale reuse in a family of related software systems through configurable features. SPLs represent a long-term investment so that their ongoing evolution becomes paramount and requires careful planning. While existing approaches enable to create an evolution plan for an SPL on feature-model (FM) level, they assume the plan to be rigid and do not support retroactive changes. In this paper, we present a method that enables to create and retroactively adapt an FM evolution plan while preventing undesired impacts on its structural and logical consistency. This method is founded in structural operational semantics and linear temporal logic. We implement our method using rewriting logic, integrate it within an FM tool suite and perform an evaluation using a collection of existing FM evolution scenarios.",

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year = "2020",

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doi = "10.1145/3382025.3414964",

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Consistency-Preserving Evolution Planning on Feature Models. / Hoff, Adrian; Nieke, Michael; Seidl, Christoph et al.
Proceedings of the 24th ACM International Systems and Software Product Line Conference. Association for Computing Machinery, 2020. p. 1-12 8.

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

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AU - Hoff, Adrian

AU - Nieke, Michael

AU - Seidl, Christoph

AU - Halvard Sæther, Eirik

AU - Sandberg Motzfeldt, Ida

AU - Din, Crystal Chang

AU - Yu, Ingrid Chieh

AU - Schaefer, Ina

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AB - A software product line (SPL) enables large-scale reuse in a family of related software systems through configurable features. SPLs represent a long-term investment so that their ongoing evolution becomes paramount and requires careful planning. While existing approaches enable to create an evolution plan for an SPL on feature-model (FM) level, they assume the plan to be rigid and do not support retroactive changes. In this paper, we present a method that enables to create and retroactively adapt an FM evolution plan while preventing undesired impacts on its structural and logical consistency. This method is founded in structural operational semantics and linear temporal logic. We implement our method using rewriting logic, integrate it within an FM tool suite and perform an evaluation using a collection of existing FM evolution scenarios.

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KW - Evolution Plan

KW - Feature Model

KW - Structural Operational Semantics

KW - Linear Temporal Logic

KW - Software Product Line

KW - Evolution Plan

KW - Feature Model

KW - Structural Operational Semantics

KW - Linear Temporal Logic

U2 - 10.1145/3382025.3414964

DO - 10.1145/3382025.3414964

M3 - Article in proceedings

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EP - 12

BT - Proceedings of the 24th ACM International Systems and Software Product Line Conference

PB - Association for Computing Machinery

ER -

Consistency-Preserving Evolution Planning on Feature Models

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Keywords

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