• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.5
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• pp.1561-1583
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• 2022

Context: Testing is one of the techniques that can assure the quality of software including the domain of Software Product Line (SPL). Various techniques have been deliberated to enhance the quality of SPL including Model-based Testing (MBT). Objective: The objective of this study is to analyze and classify trends of MBT in SPL covering the solutions, issues and evaluation aspects by using taxonomy form. Method: A Systematic Literature Review (SLR) was conducted involving 63 primary studies from different sources. The selected studies were categorized based on their common characteristics. Results: Several findings can guide future research on MBT for SPL. The important finding is that the multiple measurements are still open to improving current metrics to evaluate test cases in MBT for SPL. The multiple types of measurement required a trade-off between maximization and minimization results to ensure the testing method which could satisfy multiple test criteria for example cost and effectiveness at the same time.

• Journal of Korean Library and Information Science Society
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• v.49 no.3
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• pp.263-282
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• 2018

This study analyzed nineteen best-practices (161 sub-programs) regarding school library media program. The authors conducted content analysis based on The Library Media Specialist's Taxonomy and the CIPP Model. In the analysis of taxonomy showing the degree of involvement of librarian teachers, Level Seven indicating a concerted effort to promote school library program was the most important (37.6%). Among the ten levels of taxonomy, the highest level (levels 6 to 10, high involvement of librarians) accounted for 65.9%. According to the analysis of the CIPP Model, (Context) most of the excellent programs were aimed at reading education (41.5%) and library use education (11.3%), and more than half (53.8%) cases were initiated by learners' needs. (Input) excellence programs employed various teaching materials and were operated at fixed time. (Process) the programs were run in a variety of ways, mainly with reading instruction (30.4%) and cultural activities (17.3%). (Product) As a fruit of programs, students and parents' satisfaction, students' achievement, self-confidence, and self-improvement were reported.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.05a
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• pp.1293-1294
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• 2012

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.11a
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• pp.431-434
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• 2006

Due to rapid technology shifts and demand uncertainty, there is a high risk that inventoried products will become obsolete. Consequently companies have to decide capacities considering product life cycle and demand variation. In this paper, 1 will analyze previous research, and then provide taxonomy of them and propose further research directions.

• International journal of advanced smart convergence
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• v.11 no.1
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• pp.111-116
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• 2022

After COVID-19, the number of people with sleep disorders around the world is increasing. In particular, in the flow of the 4th industrial revolution, the differentiation of types and characteristics of the sleep industry is accelerating. Therefore, in this study, the characteristics of each type of sleep-related industry were reclassified from an industrial point of view, and based on this, an attempt was made to review the classification system that can help companies develop sleep products and improve related national systems. Based on the 10th standard industry classification, we compared input cost, value, and usability and analyzed common characteristics, treatments, and preventive effects based on this. A comprehensive taxonomy using matrix analysis was reviewed. As a result, in terms of cost (A), the most common sleeping products are general mattresses and general bedding. It is an IOT device (auxiliary device), and the value aspect (B, B/D) included sleep cafe, bedding rental and management service, and sleep consulting. In terms of utility (A/B), a total of 6 product groups including sleep aids (health functional foods) belong to this category, and in terms of treatment (A/C), a total of 3 product groups including sleep clinics (medical services) belong to this category. As for the product group (A/D) with both properties, it was found that non-insurance sleep treatment medical devices, sleep-related over-the-counter drugs, and some sleep monitoring applications belong to this category. Ultimately, it was found that the sleep industry classification enables the most active product development and composition according to the relative relationship between cost and utility, and treatment and utility. appeared to be necessary.

• Journal of Applied Reliability
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• v.17 no.2
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• pp.159-167
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• 2017

Purpose: The purpose of this research is to study research trend in the field of warranty and maintenance policy of second-hand products. Methods: To this end, we consider research articles, which deal with warranty and maintenance of the second-hand products, published on journals during the past 20 years and classify them by taxonomy scheme proposed by Shafiee and Chukova (2013). The taxonomy scheme consists of three maintenance models in warranty for second-hand product. In each models, we analyze proposed maintenance and warranty policies with respect to types of upgrade models, types of preventive maintenances, decision variables and decision criteria model. Results: We obtain the scheme of maintenance and warranty of the second-hand products and define cost related to warranty and maintenance of the second-hand item. Also, we summarize the characteristics of maintenance and warranty policies in each classified model. Conclusion: There have been several research reviews on maintenance and warranty polity of new products. This research surveys researches of authors during the past 20 years and classifies, summarizes and compares proposed maintenance and warranty policies of the second-hand products. This research provides useful information to researchers who are interested in maintenance and warranty of the second-hand products.

• The Journal of Society for e-Business Studies
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• v.13 no.4
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• pp.209-222
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• 2008

The product information can be practically stored and managed, and also queried when we use a relational database. We need to develop a special indexing scheme in order to process the queries to ask for the semantic relationships of the product information. Such semantic relationships include ISA or taxonomy relationships that have the transitive properties. In this paper, we propose an index scheme to effectively process those queries with the transitive property. The proposed index scheme is based on a numbering scheme that has relatively low update cost.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.05a
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• pp.342-351
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• 2002

A personalized product recommendation is an enabling mechanism to overcome information overload occurred when shopping in an Internet marketplace. Collaborative filtering has been known to be one of the most successful recommendation methods, but its application to e-commerce has exposed well-known limitations such as sparsity and scalability, which would lead to poor recommendations. This paper suggests a personalized recommendation methodology by which we are able to get further effectiveness and quality of recommendations when applied to an Internet shopping mall. The suggested methodology is based on a variety of data mining techniques such as web usage mining, decision tree induction, association rule mining and the product taxonomy. For the evaluation of the methodology, we implement a recommender system using intelligent agent and data warehousing technologies.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.192-197
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• 2001

A recommendation system tracks past actions of a group of users to make a recommendation to individual members of the group. The computer-mediated marketing and commerce have grown rapidly nowadays so the concerns about various recommendation procedures are increasing. We introduce a recommendation methodology by which e-commerce sites suggest new products of services to their customers. The suggested methodology is based on web log analysis, product taxonomy, and association rule mining. A product recommendation system is developed based on our suggested methodology and applied to a Korean internet shopping mall. The validity of our recommendation system is discussed with the analysis of a real internet shopping mall case.

• Journal of the Korean Home Economics Association
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• v.23 no.1
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• pp.59-69
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• 1985

Consumer satisfaction/dissatisfaction is a concept which is receiving increased attention from consumers, public policy makers, and marketers alike. The literature in this field is still meager, has been growing rapidly byt with diversity of direction. The purpose of this study is to review the conceptualization and taxonomy of CS/D in consumer research. Three types of the basic process in a general theory of CS/D are suggested; system CS/D, enterprise CS/D and product-service CS/D. It is also classified into macro marketing system CS/D, micro marketing system CS/D and consuming mix CS/D. The conceptualization of CS/D begins with a basic model of how CS/D results from the individual product purchase experience of individual consumer. Basic CS/D models are classified into process model which contains experience, information search, prepurchase evaluation and comparison process variables and psychological model which is derived from cognitive dissonance theory. Theoretical and empirical foundations about expectation model are asimilatin, contrast, generalized negativity and assimilation contrast theories.