Domain Specific Languages for Optimisation Modelling

Despite significant advances in computational approaches for modelling and solving combinatorial optimisation problems, there are still considerable barriers that prevent domain experts (domain-users/end-users) from adopting these technologies in their decision support systems [1]. We see the lack o...

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Veröffentlicht in:Proceedings (IEEE/ACM International Conference on Software Engineering Companion. Online) S. 299 - 301
1. Verfasser: Wijesundara, Sameela Suharshani
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.05.2023
Schlagworte:
Codes
Com-binatorial Optimisation
Computational modeling
Decision support systems
Domain specific languages
DSL
Framework
Language Workbenches
On-boarding Domain Experts
Optimization
Problem Mod-elling
Proposals
ISSN:2574-1934
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Beschreibung
Zusammenfassung:Despite significant advances in computational approaches for modelling and solving combinatorial optimisation problems, there are still considerable barriers that prevent domain experts (domain-users/end-users) from adopting these technologies in their decision support systems [1]. We see the lack of involvement of domain experts in the model defining process, which seriously compromises the models' flexibility and transparency, as a significant contributor to the barriers between modern optimisation technology and its usage. This research proposal aims to reduce the above barriers by introducing Domain Specific Languages (DSLs) that can easily be used by domains experts for modelling optimisation problems (which we refer to as MDSLs). In particular, our aim is to develop a framework to design these MDSLs, and to explore code reuse techniques that can simplify the modelling of problems within the same domain and their associated MDSLs. Further, we will develop a proof-of-concept language workbench specialised for MDSL development.
ISSN:2574-1934
DOI:10.1109/ICSE-Companion58688.2023.00080