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Iterative Evaluation Of Domain-Specific Languages

Authors: Barišić, Ankica;

Iterative Evaluation Of Domain-Specific Languages

Abstract

As software moves to the daily routines and responsibilities of people, there is a need for developing tools and languages rapidly. Domain-Specific Languages (DSLs) are claimed to contribute to this productivity increase, while reducing the required maintenance and programming expertise. DSLs are designed to bridge the gap between the problem domain (essential concepts, domain knowledge, techniques, and paradigms) and the solution domain (technical space, middleware, platforms and programming languages). The sooner we fill in this gap, the sooner we shall increase users productivity. However intuitive this idea may be, we need to have means to assert the quality and success of the developed languages. The alternative is to accept the risk of deriving inappropriate products that bring more harm by decreasing productivity or even increasing maintenance costs.

Country
Croatia
Keywords

experimental software engineering ; domain-specific languages ; software language engineering, Software Language Engineering, experimental software engineering, software language engineering, domain-specific languages, [SCCO.COMP] Cognitive science/Computer science, [INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE], Domain-Specific Languages, Domain-Specific Language, Experimental Software Engineering, Usability Evaluation

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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