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Pregled bibliografske jedinice broj: 791972

Identifying Relevant Dimensions for the Quality of Web Mashups: An Empirical Study

Orehovački, Tihomir; Cappiello, Cinzia; Matera, Maristella
Identifying Relevant Dimensions for the Quality of Web Mashups: An Empirical Study // Proceedings of the 18th International Conference on Human-Computer Interaction (HCI International 2016): Theory, Design, Development and Practice, Part I, Lecture Notes in Computer Science (LNCS, volume 9731) / Kurosu, Masaaki (ur.).
Cham: Springer, 2016. str. 396-407 doi:10.1007/978-3-319-39510-4_37 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Identifying Relevant Dimensions for the Quality of Web Mashups: An Empirical Study

Autori
Orehovački, Tihomir ; Cappiello, Cinzia ; Matera, Maristella

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 18th International Conference on Human-Computer Interaction (HCI International 2016): Theory, Design, Development and Practice, Part I, Lecture Notes in Computer Science (LNCS, volume 9731) / Kurosu, Masaaki - Cham : Springer, 2016, 396-407

ISBN
978-3-319-39510-4

Skup
18th International Conference on Human-Computer Interaction (HCI International 2016)

Mjesto i datum
Toronto, Kanada, 17.07.2016. - 22.07.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
web mashups ; quality evaluation ; model validation ; relevance identification ; empirical study

Sažetak
Web mashups available online today are very often characterized by a poor quality. Several researchers justify this aspect by considering the situational, short-living nature of these applications. We instead believe such a low quality is also due to the lack of suitable quality models. This paper presents a quality model that tries to capture the nature of Web mashups by focusing on their component-based nature and the added value that they are required to introduce with respect to their single constituents. A finite set of indicators and attributes was first determined by reviewing the literature. An analysis of data collected from domain experts revealed a relevance of performance variables at different levels of granularity. An empirical study was then carried out to assess which dimensions are the most relevant with respect to the mashup quality as perceived by users.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti



POVEZANOST RADA

Ustanove:
Sveučilište Jurja Dobrile u Puli

Profili:

Avatar Url Tihomir Orehovački (autor)

Poveznice na cjeloviti tekst rada:

doi link.springer.com

Citiraj ovu publikaciju:

Orehovački, Tihomir; Cappiello, Cinzia; Matera, Maristella
Identifying Relevant Dimensions for the Quality of Web Mashups: An Empirical Study // Proceedings of the 18th International Conference on Human-Computer Interaction (HCI International 2016): Theory, Design, Development and Practice, Part I, Lecture Notes in Computer Science (LNCS, volume 9731) / Kurosu, Masaaki (ur.).
Cham: Springer, 2016. str. 396-407 doi:10.1007/978-3-319-39510-4_37 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Orehovački, T., Cappiello, C. & Matera, M. (2016) Identifying Relevant Dimensions for the Quality of Web Mashups: An Empirical Study. U: Kurosu, M. (ur.)Proceedings of the 18th International Conference on Human-Computer Interaction (HCI International 2016): Theory, Design, Development and Practice, Part I, Lecture Notes in Computer Science (LNCS, volume 9731) doi:10.1007/978-3-319-39510-4_37.
@article{article, author = {Orehova\v{c}ki, Tihomir and Cappiello, Cinzia and Matera, Maristella}, editor = {Kurosu, M.}, year = {2016}, pages = {396-407}, DOI = {10.1007/978-3-319-39510-4\_37}, keywords = {web mashups, quality evaluation, model validation, relevance identification, empirical study}, doi = {10.1007/978-3-319-39510-4\_37}, isbn = {978-3-319-39510-4}, title = {Identifying Relevant Dimensions for the Quality of Web Mashups: An Empirical Study}, keyword = {web mashups, quality evaluation, model validation, relevance identification, empirical study}, publisher = {Springer}, publisherplace = {Toronto, Kanada} }
@article{article, author = {Orehova\v{c}ki, Tihomir and Cappiello, Cinzia and Matera, Maristella}, editor = {Kurosu, M.}, year = {2016}, pages = {396-407}, DOI = {10.1007/978-3-319-39510-4\_37}, keywords = {web mashups, quality evaluation, model validation, relevance identification, empirical study}, doi = {10.1007/978-3-319-39510-4\_37}, isbn = {978-3-319-39510-4}, title = {Identifying Relevant Dimensions for the Quality of Web Mashups: An Empirical Study}, keyword = {web mashups, quality evaluation, model validation, relevance identification, empirical study}, publisher = {Springer}, publisherplace = {Toronto, Kanada} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Conference Proceedings Citation Index - Science (CPCI-S)
  • Scopus

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