Extending UML to model Web 2.0‐based context‐aware applications

Hsu, I-Ching

doi:10.1002/spe.1124

Cited by 17 publications

(10 citation statements)

References 28 publications

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“…Therefore, the development efficiency and potential for reuse are decreased. The UML is a general purpose modeling language with potential for use in various domains (Hsu et al , 2014; Hsu, 2012). One future work is to develop an OGDRP UML profile, a UML profile for modeling Hadoop/Spark cloud computing applications, to facilitate the implementation of intelligent OGD applications.…”

Section: Discussionmentioning

confidence: 99%

Open Taiwan Government data recommendation platform using DBpedia and Semantic Web based on cloud computing

Chen

Hsu

2019

IJWIS

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Purpose In recent years, governments around the world are actively promoting the Open Government Data (OGD) to facilitate reusing open data and developing information applications. Currently, there are more than 35,000 data sets available on the Taiwan OGD website. However, the existing Taiwan OGD website only provides keyword queries and lacks a friendly query interface. This study aims to address these issues by defining a DBpedia cloud computing framework (DCCF) for integrating DBpedia with Semantic Web technologies into Spark cluster cloud computing environment. Design/methodology/approach The proposed DCCF is used to develop a Taiwan OGD recommendation platform (TOGDRP) that provides a friendly query interface to automatically filter out the relevant data sets and visualize relationships between these data sets. Findings To demonstrate the feasibility of TOGDRP, the experimental results illustrate the efficiency of the different cloud computing models, including Hadoop YARN cluster model, Spark standalone cluster model and Spark YARN cluster model. Originality/value The novel solution proposed in this study is a hybrid approach for integrating Semantic Web technologies into Hadoop and Spark cloud computing environment to provide OGD data sets recommendation.

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Section: Discussionmentioning

confidence: 99%

Open Taiwan Government data recommendation platform using DBpedia and Semantic Web based on cloud computing

Chen

Hsu

2019

IJWIS

Self Cite

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“…In the work of Fink et al, for example, a model‐driven development approach was introduced to the development of access control policies for distributed systems. Hsu defined a UML profile for different Web 2.0 applications, including Web 2.0 mashups and Web 2.0–based context‐aware applications. However, to the best of our knowledge, there are no UML profiles for the privacy domain.…”

Section: Background and Related Workmentioning

confidence: 99%

PrivAPP: An integrated approach for the design of privacy‐aware applications

et al. 2017

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Nowadays, personal information is collected, stored, and managed through web applications and services. Companies are interested in keeping such information private due to regulation laws and privacy concerns of customers. Furthermore, the reputation of a company can be dependent on privacy protection, ie, the more a company protects the privacy of its customers, the more credibility it gets.This paper proposes an integrated approach that relies on models and design tools to help in the analysis, design, and development of web applications and services with privacy concerns. Using the approach, these applications can be developed consistently with their privacy policies to enforce them, protecting personal information from different sources of privacy violation. The approach is composed of a conceptual model, a reference architecture, and a Unified Modified Language Profile, ie, an extension of the Unified Modified Language for including privacy protection. The idea is to systematize the privacy concepts in the scope of web applications and services, organizing the privacy domain knowledge and providing features and functionalities that must be addressed to protect the privacy of the users in the design and development of web applications. Validation has been performed by analyzing the ability of the approach to model privacy policies from real web applications and by applying it to a simple application example of an online bookstore. Results show that privacy protection can be implemented in a model-based approach, bringing values for the stakeholders and being an important contribution toward improving the process of designing web applications in the privacy domain.

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“…Dzidek et al [23] showed that using and updating UML designs during the maintenance and evolution of a software system increased the functional correctness and design quality of the evolved system. The systematic literature review of da Silva et al [64] showed that the UML profile-based mechanism is often used to customize a class diagram to properly support the design of context-awareness and self-adaptiveness properties of self-adaptive systems [1,7,10,36,39,56,62,65,66]. Vathsavayi et al [34] use genetic algorithms to dynamically insert and remove design solutions from the application class diagram in response to the changing environment, and propagate the design-level changes to the code level using the Javaleon platform [29].…”

Section: Introductionmentioning

confidence: 99%

Bridging the model-to-code abstraction gap with fuzzy logic in model-based regression test selection

et al. 2021

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Regression test selection (RTS) approaches reduce the cost of regression testing of evolving software systems. Existing RTS approaches based on UML models use behavioral diagrams or a combination of structural and behavioral diagrams. However, in practice, behavioral diagrams are incomplete or not used. In previous work, we proposed a fuzzy logic based RTS approach called FLiRTS that uses UML sequence and activity diagrams. In this work, we introduce FLiRTS 2, which drops the need for behavioral diagrams and relies on system models that only use UML class diagrams, which are the most widely used UML diagrams in practice. FLiRTS 2 addresses the unavailability of behavioral diagrams by classifying test cases using fuzzy logic after analyzing the information commonly provided in class diagrams. We evaluated FLiRTS 2 on UML class diagrams extracted from 3331 revisions of 13 open-source software systems, and compared the results with those of code-based dynamic (Ekstazi) and static (STARTS) RTS approaches. The average test suite reduction using FLiRTS 2 was 82.06%. The average safety violations of FLiRTS 2 with respect to Ekstazi and STARTS were 18.88% and 16.53%, respectively. FLiRTS 2 selected on average about 82% of the test cases that were selected by Ekstazi and STARTS. The average precision violations of FLiRTS 2 with respect to Ekstazi and STARTS were 13.27% and 9.01%, respectively. The average mutation score of the full test suites was 18.90%; the standard deviation of the reduced test suites from the average deviation of the mutation score for each subject was 1.78% for FLiRTS 2, 1.11% for Ekstazi, and 1.43% for STARTS. Our experiment demonstrated that the performance of FLiRTS 2 is close to the state-of-art tools for code-based RTS but requires less information and performs the selection in less time.

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Extending UML to model Web 2.0‐based context‐aware applications

Cited by 17 publications

References 28 publications

Open Taiwan Government data recommendation platform using DBpedia and Semantic Web based on cloud computing

Open Taiwan Government data recommendation platform using DBpedia and Semantic Web based on cloud computing

PrivAPP: An integrated approach for the design of privacy‐aware applications

Bridging the model-to-code abstraction gap with fuzzy logic in model-based regression test selection

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