Formal model for user‐centred adaptive mobile devices

Noia, Tommaso Di; Sciascio, Eugenio Di; Donini, Francesco M.; Mongiello, Marina; Nocera, Francesco

doi:10.1049/iet-sen.2016.0169

Cited by 6 publications

(1 citation statement)

References 24 publications

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“…[3, 4]) in a particular context of use (e.g. [5]). However, most of these suggestions consider the usability properties only after the full implementation of the system.…”

Section: Introductionmentioning

confidence: 99%

Search‐based software engineering for optimising usability of user interfaces within model transformations

et al. 2019

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Search-based Software Engineering stands for an important area of research which involves finding optimal solutions for software engineering problems according to a set of conflicting objectives. One of these problems is improving the software quality such as usability of user interfaces following the model-driven engineering (MDE) paradigm. Transforming models consist of a set of transformation rules that describe how a component from a source model can be transformed into one or several target models. Although alternative target models may be equivalent from the functional viewpoint, they may differ from the non-functional perspectives. Besides, they do not fulfil the same usability aspects. In this context, search-based algorithms aim to identify which alternative transformation will produce a highly-usable target model. This study addresses this issue by combining the power of model transformations engine and search-based techniques. Specifically, the proposed approach defines model transformation as a usability optimisation problem. It allows the search of the optimal alternative transformation from a large search space taking into account a set of required usability attributes and using an evolutionary algorithm.

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“…[3, 4]) in a particular context of use (e.g. [5]). However, most of these suggestions consider the usability properties only after the full implementation of the system.…”

Section: Introductionmentioning

confidence: 99%