Abstrakt
Domain-specific languages (DSLs) are commonly expected to improve communication with domain experts compared to general-purpose programming languages (GPLs). However, there is a huge gap in the literature concerning how evidence can be given for this expected improvement - -a phenomenon that is not only known from DSLs, but also from GPLs in general. This paper presents an experience report of applying an iterative process for evaluating DSL readability for a given DSL in the context of safety-critical software in robotics. The goal of this process is to conduct a randomized controlled trial that gives evidence for the better readability of the DSL in comparison to the readability of a GPL. In this experience report, we describe common pitfalls we identified and possible solutions to overcome these problems in the future.
Originalsprog | Engelsk |
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Titel | Proceedings of the 33rd Annual ACM Symposium on Applied Computing |
Vol/bind | Part F137816 |
Forlag | Association for Computing Machinery |
Publikationsdato | 2018 |
Sider | 2030-2033 |
ISBN (Elektronisk) | 9781450351911 |
DOI | |
Status | Udgivet - 2018 |
Begivenhed | 33rd Annual ACM Symposium on Applied Computing, SAC 2018 - Pau, Frankrig Varighed: 9. apr. 2018 → 13. apr. 2018 |
Konference
Konference | 33rd Annual ACM Symposium on Applied Computing, SAC 2018 |
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Land/Område | Frankrig |
By | Pau |
Periode | 09/04/2018 → 13/04/2018 |
Sponsor | ACM Special Interest Group on Applied Computing (SIGAPP) |