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

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Duhoux, Benoît [UCLouvain] Mens, Kim [UCLouvain] Dumas, Bruno [UNamur]

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.

Document type Communication à un colloque (Conference Paper) – Présentation orale avec comité de sélection
Access type Accès libre
Publication date 2020
Language Anglais
Conference "BENEVOL 2020", Luxembourg (du 03/12/2020 au 04/12/2020)
Peer reviewed yes
Affiliations UCL - SST/ICTM/INGI - Pôle en ingénierie informatique
UNamur - PReCISE / NADI
Keywords Context-oriented programming ; Feature modelling ; Dynamic software evolution
Links
Bibliographic reference Duhoux, Benoît ; Mens, Kim ; Dumas, Bruno. A Feature-Based Context-Oriented Approach to Dynamic Software Evolution.BENEVOL 2020 (Luxembourg, du 03/12/2020 au 04/12/2020).
Permanent URL http://hdl.handle.net/2078/257912