Quality of Web Mashups: A Systematic Mapping Study

Abstract

Abstract. Web mashups are a new generation of applications based on the composition of ready-to-use, heterogeneous components. They are gaining momentum thanks to their lightweight composition approach, which represents a new opportunity for companies to leverage on past investments in SOA, Web services, and public APIs. Although several studies are emerging in order to address mashup development, no systematic mapping studies have been reported on how quality issues are being addressed. This paper reports a systematic mapping study on which and how the quality of Web mashups has been addressed and how the product quality-aware approaches have been defined and validated. The aim of this study is to provide a background in which to appropriately develop future research activities. A total of 38 research papers have been included from an initial set of 187 papers. Our results provided some findings regarding how the most relevant product quality characteristics have been addressed in different artifacts and stages of the development process. They have also been useful to detect some research gaps, such as the need of more controlled experiments and more quality-aware mashup development proposals for other characteristics which being important for the Web domain have been neglected such as Usability and Reliability.

The use of tools of data mining to decision making in engineering education—A systematic mapping study

“…The systematic mapping approach of this work uses a methodology that has been applied in others works . It is based on four stages: feasibility, planning, classification scheme, and the presentation of results, as shown in Figure .…”

“…The inclusion and exclusion criteria, which have been defined for the present work, are objective, easy to verify and do not require further interpretation. The criteria have the function of guaranteeing that the selected articles comply with some parameters that have been evaluated in previous publications .…”

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

“…In that respect, Cappiello et al [5] developed a model which addresses: data quality (accuracy, timeliness, completeness, availability, and consistency), presentation quality (usability and accessibility), and composition quality (added value, component suitability, component usage, consistency, and availability). Nevertheless, results of a systematic mapping study [9] suggest that there is still a need for empirical research addressing the assessment of the proposed quality dimensions.…”

“…Drawing on a comprehensive literature review that included prior studies on the assessment of mashups [5,9,11], mashup components [6], mashup tools [37], and Web 2.0 applications designed for collaborative writing [30,31,33], mind mapping [33,35,36], and diagramming [31,35], an initial pool of 165 items meant for measuring diverse facets of quality in the context of mashups was designed. To ensure content validity at all levels of granularity in the model, the relevance of items was examined by two independent mashup experts on a three-point scale (1-mandatory, 2 -desired, 3 -not relevant).…”

Subjective and Objective Assessment of Mashup Tools

“…In that respect, Cappiello et al [4] developed the model which enables evaluation of following quality dimensions: data quality (accuracy, timeliness, completeness, availability, and consistency), presentation quality (usability and accessibility), and composition quality (added value, component suitability, component usage, consistency, and availability). Nevertheless, results of a systematic mapping study [6] suggest that there is still a need for empirical research addressing the assessment of security, usability, and reliability of mashups.…”