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A Feature-Based Context-Oriented Approach to Dynamic Software Evolution

Authors :
UCL - SST/ICTM/INGI - Pôle en ingénierie informatique
UNamur - PReCISE / NADI
Duhoux, Benoît
Mens, Kim
Dumas, Bruno
UCL - SST/ICTM/INGI - Pôle en ingénierie informatique
UNamur - PReCISE / NADI
Duhoux, Benoît
Mens, Kim
Dumas, Bruno
Publication Year :
2020

Abstract

Context-oriented programming enables dynamic software evolution by supporting the creation of software systems that dynamically adapt their behaviour depending on the context of their surrounding environment. Conceiving such systems is complex due to their high dynamicity and the combinatorial explosion of possible contexts and corresponding features that could be active. We present the current status of our feature-based context-oriented programming approach, illustrate how it helps software developers to conceive highly-dynamic systems, and discuss some remaining challenges of our approach.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1328225430
Document Type :
Electronic Resource