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Conference object . 2020
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2020
License: CC BY
Data sources: Datacite
ZENODO
Article . 2020
License: CC BY
Data sources: Datacite
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Identification of Quality Characteristics in Mobile Applications

Authors: Carneiro Maia, Vitor; Guidini Gonçalves, Taisa; Rocha, Ana Regina;

Identification of Quality Characteristics in Mobile Applications

Abstract

Mobile devices and their applications became popular since the creation of the app stores’ distribution model. There is a great variety of apps available and we are inclined to use the best ones, what make it essential to develop apps of distinctive quality. To identify pertinent quality characteristics of mobile applications based on available literature, we conducted a systematic mapping study regarding the quality of mobile applications. It was executed in five search engines: Scopus, IEEE, Web of Science, Engineering Village and ACM. The resulting papers were analyzed in search of occurrences of quality characteristics of mobile applications. At all, 53 papers were analyzed. From the quality characteristics present in ISO/IEC 25010 models, the most cited were usability, performance efficiency, functional suitability, reliability, and contextcoverage. Fifteen extra quality characteristics were also found. The systematic mapping study permitted the formulation of an initial list of quality characteristics, which may be the most pertinent in the context of mobile applications.

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Keywords

Software applications, Mobile Applications

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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!
0
Average
Average
Average
Green