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Evaluating the Usability of Mashups Applications

Authors: Emilio Insfrán; Priscila Cedillo; Adrian Fernandez; Silvia Abrahão; Maristella Matera;

Evaluating the Usability of Mashups Applications

Abstract

Mashups are new-generation of Web applications aimed at reutilizing contents and services provided by third-party components. In Web applications, usability is considered one of the most important quality factors. However, usability evaluation of mashups is usually relied upon their individual components. Therefore, there is a need for specific approaches in order to evaluate the usability of mashups by considering their specific characteristics. This paper proposes a Usability Model for Mashups that can be used for evaluating the usability of mashups applications. This Usability Model decomposes the usability sub-characteristic from the ISO/IEC 25010 standard into other sub-characteristics and attributes. Finally, metrics are associated to these attributes to quantify and detect usability problems. In order to illustrate the feasibility of the approach, we present the evaluation of a mashup application using this usability model.

Country
Italy
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    9
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
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.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Average
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