Multi-Attribute Evaluation of Software Maintainability

A Study on Attribute Evaluation of Satisfaction in Public Rental Housing Service

SH Urban Research & Insight ◽

10.26700/shuri.2014.06.4.1.25 ◽

2014 ◽

Vol 4 (1) ◽

pp. 25-32

Author(s):

Bong-Joon Kim ◽

Jung-Seok Oh ◽

Ga-Yeong Lee

Keyword(s):

Rental Housing ◽

Housing Service ◽

Public Rental Housing ◽

Attribute Evaluation

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Valuation Assessment Of Tourism Education Information System Using By Block Chain: Focused on Subject and Attribute Evaluation Variables through Applying Fuzzy Relational Model

Journal of Tourism and Leisure Research ◽

10.31336/jtlr.2018.12.30.12.423 ◽

2018 ◽

Vol 30 (12) ◽

pp. 423-443

Author(s):

Mi-Ra Kim ◽

Woo-Hee Byun ◽

Young-Taek Doo

Keyword(s):

Information System ◽

Relational Model ◽

Tourism Education ◽

Block Chain ◽

Attribute Evaluation

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Measuring Software Maintainability with Naïve Bayes Classifier

Entropy ◽

10.3390/e23020136 ◽

2021 ◽

Vol 23 (2) ◽

pp. 136

Author(s):

Nayyar Iqbal ◽

Jun Sang ◽

Jing Chen ◽

Xiaofeng Xia

Keyword(s):

Business Processes ◽

Naive Bayes ◽

Naïve Bayes ◽

Business Value ◽

Software Components ◽

Naive Bayes Classifier ◽

Bayes Classifier ◽

Naïve Bayes Classifier ◽

Error Type ◽

Software Maintainability

Software products in the market are changing due to changes in business processes, technology, or new requirements from the customers. Maintainability of legacy systems has always been an inspiring task for the software companies. In order to determine whether the software requires maintainability by reverse engineering or by forward engineering approach, a system assessment was done from diverse perspectives: quality, business value, type of errors, etc. In this research, the changes required in the existing software components of the legacy system were identified using a supervised learning approach. New interfaces for the software components were redesigned according to the new requirements and/or type of errors. Software maintainability was measured by applying a machine learning technique, i.e., Naïve Bayes classifier. The dataset was designed based on the observations such as component state, successful or error type in the component, line of code of error that exists in the component, component business value, and changes required for the component or not. The results generated by the Waikato Environment for Knowledge Analysis (WEKA) software confirm the effectiveness of the introduced methodology with an accuracy of 97.18%.

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Design for Software Maintainability

Design for Maintainability ◽

10.1002/9781119578536.ch11 ◽

2021 ◽

pp. 207-219

Author(s):

Louis J. Gullo

Keyword(s):

Software Maintainability

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An Exploratory Analysis of Museum Attributes from the Perspective of Tourists and Residents: The Case of Thyssen-Bornemisza National Museum, Madrid, Spain

Societies ◽

10.3390/soc11020064 ◽

2021 ◽

Vol 11 (2) ◽

pp. 64

Author(s):

Alicia Orea-Giner ◽

Jorge Calero-Sanz ◽

Carmen De-Pablos-Heredero ◽

Trinidad Vacas-Guerrero

Keyword(s):

Choice Experiment ◽

Local Community ◽

National Museum ◽

Visitor Experience ◽

Convenience Sample ◽

Cultural Sustainability ◽

Museum Management ◽

Visitor Perceptions ◽

Subjective Value ◽

Attribute Evaluation

Attribute evaluation provides an understanding of the perceived quality and subjective value of the museum visitor experience. The principal contribution of this paper is to analyze the attributes perceived by tourists and the local community (Madrid residents) of the Thyssen-Bornemisza National Museum (Madrid, Spain), utilizing the results from choice experiment and willingness-to-pay questionnaires. To analyze in depth the assessment regarding the museum attributes and the visitor perceptions of them, the relevance-determination model was applied. Data collection was achieved with a questionnaire using a convenience sample of international tourists and the local community, providing a total of 775 valid surveys. The results of the application of the relevance-determination analysis (RDA) show that there are two types of attributes: higher-impact core and lower-importance attributes. The attributes with the highest subjective value perceived by interviewed tourists and interviewed residents are the location, the building, and the permanent collection. These results show that there are substantial differences between the perception and appreciation of these attributes by interviewed residents and interviewed tourists. The results provide valuable information that can be applied in practice to devise strategies for economic and socio-cultural sustainability aimed at improving decision-making in museum management.

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