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May 30, 2022 · This evaluation covers both feature revision location in variants of software systems evolving in space and time as well as SPL evolution by ...
The hints help to understand possible feature interactions or dependencies. The average time to locate feature revisions ranged from 25 to 250 seconds, whereas ...
Managing the evolution of system families in space and time, i.e., system variants and their revisions is still an open challenge. The software product line ...
Oct 23, 2020 · ABSTRACT. Managing the evolution of system families in space and time, i.e., system variants and their revisions is still an open challenge.
AbstractSoftware companies commonly develop and maintain variants of systems, with different feature combinations for different customers.
Evolving Software System Families in Space and Time with Feature Revisions. • Evaluation with additional systems and more feature revisions: We extended our.
We evaluated ECSEST using feature revisions and variants from six highly configurable open source systems. To assess the correctness of our approach, we ...
Based on these challenges, we defined and implemented a novel support that tracks feature revisions. Thus, we presented an automated feature revision location ...
This doctoral work is to investigate and define a flexible and unified approach to allow an easy and scalable evolution of SPLs in space and time and to ...
ECSEST (Extraction and Composition for Systems Evolving in Space and Time) is an approach for locating feature revisions and composing variants with ...
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