• Asia pacific journal of information systems
• /
• v.30 no.3
• /
• pp.457-496
• /
• 2020

This study aims to extensively analyze the performance of various Machine Learning (ML) techniques for predicting version to version change-proneness of source code Java files. 17 object-oriented metrics have been utilized in this work for predicting change-prone files using 31 ML techniques and the framework proposed has been implemented on various consecutive releases of two Java-based software projects available as plug-ins. 10-fold and inter-release validation methods have been employed to validate the models and statistical tests provide supplementary information regarding the reliability and significance of the results. The results of experiments conducted in this article indicate that the ML techniques perform differently under the different validation settings. The results also confirm the proficiency of the selected ML techniques in lieu of developing change-proneness prediction models which could aid the software engineers in the initial stages of software development for classifying change-prone Java files of a software, in turn aiding in the trend estimation of change-proneness over future versions.

• Journal of Industrial Convergence
• /
• v.2 no.1
• /
• pp.159-186
• /
• 2004

One of the biggest change in the distributive market recently is that the development of private brand is progress actively since consumers purchasing behavior is tend to shift to resonable and practical planned purchase from brand image or brand name. Once the development of private brands is done successfully, the independent merchandising distinguished from other distribution companies is established, store image through customer satisfaction is strengthen and volume of sales and profit are increased. However, the existing studies in this field have not dealt with this matter systematically. Therefore, the purpose of this study is to propose an integrated framework within which to view private brand proneness. Factors found to influence private brand proneness included perceived cost, with private brand, perceived value for money, store fame, perceived risk, perceived quality variation between national and private brand products. Foe empirical analysis, the data were collected from 211 consumers who purchased the private brands in discount store and department store. With the collected survey data, reliability test, factor analysis for validity test and regression analysis for hypotheses test were conducted. Most hypotheses were accepted but on hypotheses were rejected negative relation of perceived cost and private brand proneness. Research results indicate that private brand proneness is affected by perceived value, perceived fame and there are negative relation between private brand proneness and perceived quality variation.

• Journal of Information Processing Systems
• /
• v.13 no.4
• /
• pp.778-804
• /
• 2017

Software today has become an inseparable part of our life. In order to achieve the ever demanding needs of customers, it has to rapidly evolve and include a number of changes. In this paper, our aim is to study the relationship of object oriented metrics with change proneness attribute of a class. Prediction models based on this study can help us in identifying change prone classes of a software. We can then focus our efforts on these change prone classes during testing to yield a better quality software. Previously, researchers have used statistical methods for predicting change prone classes. But machine learning methods are rarely used for identification of change prone classes. In our study, we evaluate and compare the performances of ten machine learning methods with the statistical method. This evaluation is based on two open source software systems developed in Java language. We also validated the developed prediction models using other software data set in the same domain (3D modelling). The performance of the predicted models was evaluated using receiver operating characteristic analysis. The results indicate that the machine learning methods are at par with the statistical method for prediction of change prone classes. Another analysis showed that the models constructed for a software can also be used to predict change prone nature of classes of another software in the same domain. This study would help developers in performing effective regression testing at low cost and effort. It will also help the developers to design an effective model that results in less change prone classes, hence better maintenance.

• Journal of the Korean Society of Safety
• /
• v.18 no.3
• /
• pp.126-130
• /
• 2003

The term stress is currently used to cover a wide variety of phenomena, ranging from physical to social and cultural factors. The term has defined psychological stress as an imbalance between perceived or subjective demand and perceived response capability. The behavior science model has provided the accident proneness through the life change unit factors considering human behavior, life style, ideas, culture, and psychological state. Therefore, this paper presents the Korean life change unit model through statistical testing with the proposed life change unit factors on the unmarried workers living in the middle area. The proposed model can be simply used in real fields in order to minimize the industrial accidents.

• Child Health Nursing Research
• /
• v.6 no.3
• /
• pp.372-386
• /
• 2000

The purpose of this study was to provide basic data on preschool children for accident prevention and improve their health through sound, safe living environment with safety education established through more systematic method. Data were collected from 300 preschoolers(150 preschooler are assigned to experimental group and 150 preschoolers are assigned to control group) from 4 to 6 years old using APP paper test which consists of questions and drawings. To experimental group, safety education were done 4 times within the time of 30 minutes per 1 time using education books, video, OHP, slide. The findings of this study are as follows: 1. There were significant difference in behavioral character between experimental group and control group(χ2=11.690, p= 0.003). So, safety education have effect on the behavioral character of preschooler. 2. In the accident proneness on preschooler between experimental group and control group according to general characteristics, it proved significant difference in the case of accident prevention education were done, movement stability(χ2=8.844, p=0.012) and behavioral character(χ2=6.699, p=0.035), in the case of housing pattern is mixed-type, behavioral character(χ2=10.37, p=0.006), in the case of subjects' age is 4 years old, watchfulness(χ2=9.525, p=0.009), in the case of subjects' age is 5 years old, behavioral character(χ2=7.324, p=0.026), in the case of children's order is second, behavioral character(χ2=14.31, p=0.001), in the case of children's sex is boy, living safety(χ2=7.981, p=0.018), movement speed (χ2=6.661, p=0.036), bihavioral character(χ2=8.837, p=0.012), in the case of children's sex is girl, reasoning power(χ2 =9.78, p=0.008), in the case of childrens have no past accidental experience, behavioral character(χ2=9.862, p=0.007), in the case of nuclear family, movement speed(χ2=6.341, p=0.042) and behavioral character(χ2=9.326, p=0.009), in the case of mothers' age is under thirty behavioral character(χ2=16.40, p=0.000), in the case of mothers' school career is under high school graduate, behavioral character(χ2 =8.375, p=0.015), in the case of mothers' school career is beyond college graduate, reasoning power(χ2=9.803, p=0.007) and behavioral character(χ2=6.205, p=0.045), in the case of mothers' job is part time, movement speed(χ2=10.99, p=0.004), in the case of mothers have no job, movement stability(χ2=8.490, p=0.014) and behavioral character(χ2=10.11, p=0.006). The difference of accident proneness between experimental group and control group according to general characteristics, it also showed that there were significant difference in behavioral character compared to other area.. From this findings, we can guess that safety education change and guide preschoolers' behavioral character to desirable direction.

• Journal of the Korea Safety Management & Science
• /
• v.8 no.1
• /
• pp.85-96
• /
• 2006

The oriental life change unit(LCU) models differ from the western LCU model in human behavior, life style, ideas, culture, and psychology factors. Especially, the cause and effect models by behavior scientific approach method have provided the accident proneness concept through the LCU factors. Therefore this paper describes the analytical results of the oriental LCU model and western LCU model. Especially, the death of parents and death of close friend in Korean LCU model feel more acute stress than the western factors. In the case of Korean LCU models between the unmarried and married workers living in the middle area of Korea, death of parents, change in family member's health, change to different line of work, and change in work hours and condition are significant at the significance level of 5%. The priority of life change factors in these models is approved in the order of death of parents, death of spouse, death of close family member, and death of close friend. Finally, the result of this paper can be easily used in order to minimize the industrial accidents by the job stress with the worker and safety manager in real fields.

• Management & Information Systems Review
• /
• v.38 no.1
• /
• pp.121-139
• /
• 2019

This study aims to identify the change of customer participation(CP) which is essential to the service industry as the relationship between the customer and the employee develops. The latent growth modeling analysis based on the longitudinal data is utilized to examine the pattern of the change. This is based on the fact that CP needs to be understood in the relationship and is to confirm the change in CP by the development of the relationship. Given the dynamics of the relationship, we intend to overcome the limitations of previous cross-sectional researches by revealing the trajectory of CP in the relationship through the longitudinal data. We also want to examine which variables in the relationship can facilitate changes of CP. Research has shown that CP is significantly changed with the development of the relationship when we analyzed it through latent growth modeling. This confirms that CP needs to be understood in the relationship. In addition, 'relationship proneness' variable and 'dependence to provider' variable have positive effects on the initial values of CP, but they have not been established to promote the changes of CP. Consequently, when considering the dynamics of relationships, it is important to recognize that CP is also dynamic. This study sought to get out of the cross-sectional and fragmented understanding of CP that is dynamic. Through this, we would like to propose the successful operation of the customer management program of service firms in relation to CP. This will lead to the success of service encounter where appropriate CP levels at each stage of relationship development can be achieved.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2011.04a
• /
• pp.1405-1408
• /
• 2011

소프트웨어 품질 측정은 소프트웨어 공학의 필수적인 요소이다. 소프트웨어 품질 척도 중 하나인 결합도는 모듈간의 얼마나 강하게 연결되어있는지를 나타낸다. 결합도는 소프트웨어의 결함-경향성, 모듈화, 재사용성, 변경-경향성 등 다양한 목적으로 사용된다. 기존의 결합도 척도들은 메소드호출 횟수에 의해서 결정되는데, 이는 메소드의 가중치를 고려하지 않기 때문에 결합도를 정확히 측정 하지 못한다. 본 논문은 페이지랭크 알고리즘을 이용하여 메소드의 가중치를 측정하고, 이를 이용한 결합도 척도 개선 방법에 대해 제안한다. 본 논문의 유효성을 검증하기 위하여, 4 개의 오픈 소스 프로젝트를 대상으로 기존의 방법과 개선된 방법으로 결합도 척도 3 개를 측정하였다. 개선된 결합도 3 개는 유지보수의 척도로 사용되는 변경-경향성(Change-Proneness)과의 상관계수가 기존의 결합도 척도에 비하여 눈의 띄게 향상되었다. 따라서 개선된 결합도 척도는 소프트웨어 품질을 더 정확하게 측정할 수 있다.

• Journal of KIISE:Software and Applications
• /
• v.34 no.7
• /
• pp.603-615
• /
• 2007

Software changes for various kinds of reasons and they increase maintenance cost. Software metrics, as quantitative values about attributes of software, have been adopted for predicting maintenance cost and fault-proneness. This paper proposes relationship between some typical object-oriented metrics and software changes in industrial settings. We used seven metrics which are concerned with size, complexity coupling, inheritance and polymorphism, and collected data about the number of changes during the development of an Information system on .NET platform. Based on them, this paper proposes a model for predicting the number of changes from the object-oriented metrics using multiple regression analysis technique.

• Informatization Policy
• /
• v.29 no.1
• /
• pp.38-59
• /
• 2022

The development of IT technology and the spread of smartphones are having a great impact on businesses and consumers. Consumers have been able to acquire more diverse and larger amounts of information than in the past due to information provided through smartphones and information search on the internet, which has a significant influence on decision-making. Companies have also become sensitive to such changes in consumer behavior patterns, reflected in their marketing. In addition, among the various characteristics of smartphones, location-based technology has become an important factor in providing targeted marketing from a company's point of view. Such technological development and social change have led to the expansion of the mobile advertising market, which promotes products or services based on the location of consumers and provides benefits such as discount coupons. In this study, we have analyzed the influence of consumer characteristics on intention to use in mobile location-based advertising, which has become an important marketing method in the mobile advertising market. The effects of variables of personalization, engagement, coupon proneness, economic efficiency, and irritation on attitude and information privacy concerns were analyzed, and the effects of attitude and information privacy concerns on intention to use were analyzed. The results of this study are deemed to be able to suggest factors to consider when providing mobile location-based advertising to consumers in the future.