• Industrial Engineering and Management Systems
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• v.4 no.1
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• pp.109-116
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• 2005

Proposed in this paper is an intelligent management system for evaluating science research projects based on fuzzy neural networks with genetic algorithms. This system was planned, designed and tested employing theories and approaches of software engineering. This system was then applied to evaluate science research projects of the Natural Science Foundation of Guangdong Province, People’s Republic of China. The outcome / results shows the feasibility and validity of the system and its possible application to other intelligent management systems.

• Journal of Agricultural Extension & Community Development
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• v.4 no.1
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• pp.97-120
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• 1997

This study intends to develop a computer software for an efficient swineherd production and management. Current softwares are concerned on the sow management and ignore the actual farm environment. This study focuses on the farm environment in developing the software and covers the production management financial management, marketing management, and business planning for swineherd farm. The FSR(Farming Systems Research) analysis and interview survey aye applied to collect the data for the system planning, farmer's demand and analysis on the system, system design and program development. The systems are designed to meet the needs for the progressive swineherd farmers. Visual FoxPro 5.1 is used to develop the system. The developed system includes pig farm financial records keeping and management, pig farm production management program, pig farm marketing management program, and pig farm business diagnosis and planning program to meet the scope of the study. The weekly maintenance records and financial records are adopted for the input interface since most of farmers use their computer less than 5 hours a week. Pulldown Menu systems are adopted and designed for easy use by structuring to meet the pig farm and system demands. The manu system allocates the input-output screen based on the sectors, scopes, users, frequencies, importances, and the usages of the information. The GUI(Graphic User Interface) method is used to develop input-output screens for easy use. Backward Chaining mechanism fo the Expert System is used in the diagnosis of the pig farm management and the Systems Simulators Approach is used in the pig farm management planning.

• Knowledge Management Research
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• v.18 no.2
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• pp.85-102
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• 2017

With rapid development of information and communication technologies, open collaboration can be eased through the Internet. Open source software, as a representative area of open collaboration, is developed and adopted to various fields. In this research, based on organizational learning theory, we examine the impacts of exploration and exploitation on innovation performance in open source software development projects. We define knowledge exploration as a number of developers from outside organization and knowledge exploitation as the ratio of member of an organization who participated in an open source software project managed by the organization. For analysis, we collect data of 4794 projects from github which is a representative open source software development platform using Web crawler developed by Python. As a result, we find that excessive exploration has curvilinear (invers U-shape) relationship on project performance. On the other hand, exploitation with enough external developers will positively impact on project performance.

• Asia pacific journal of information systems
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• v.25 no.3
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• pp.473-499
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• 2015

The limited literature on Open Source Software (OSS) customers' adoption does not provide explanations on how OSS services are adopted by customers in the presence of functionally superior commercially licensed software (CLS). This paper aims to uncover the process that shapes customer satisfaction of OSS services in comparison to CLS. Expectation Disconfirmation Theory (EDT) is adapted and integrated with pre implementation factor model that influences software customers' expectations including cost, reputation, and experience. The constructed research model is empirically validated using a field survey of OSS and CLS database management system (DBMS) customers in Korea. The theoretical contribution of the paper lies on the application of EDT to explain the wide adoption of OSS DBMS services in the presence of functionally superior CLS DBMSs. Furthermore, this paper integrates EDT with pre-implementation factors for customers' expectations, which has been considered a limitation of the theory. Among the practical contributions, this study draws attention to the substantive differences between OSS and CLS customers' expectations. Additionally, it offers initial explanations for the differences in customer behavior for OSS and CLS and the way that customers' expectations and actual performance are mingled together to form customer satisfaction.

• Journal of Information Technology Services
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• v.16 no.4
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• pp.65-75
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• 2017

The purpose of this study is to investigate how software policy shows the moderating effects between organizational capability maturity and organizational performance. The software policy includes the proportions of development personnel and development budget that can affect organizational performance. It is important to empirically identify whether the ratios of budget and personnel, which are some of the main policy indexes of the organization can promote the causal relationship between organizational maturity and organizational performance. These personnel and budget may be assumed to affect the causal relationship between organizational capability maturity and organizational performance. The results of this study shows that the moderating effects of software policy are partially proved. The two policy indexes, personnel ratio and budget ratio, showed a moderating effect between process implementation and organizational performance, but did not show any moderating effect between quantitative management and organizational performance. This is because the companies participating in the survey are still in the early stages of quantitative process management and quantitative management does not show the differentiated results among the participating organizations. The significance of this study is as follows. In the academic aspect, the causal relationship between organizational maturity and organizational performance was examined empirically, and it was analyzed whether the two adopted policy indicators have a moderating effect between organizational maturity and organizational performance. On the practical side, the analysis suggested that the ratios of budget and personnel emphasized by the government or organization played a role of facilitating the organizational maturity and organizational performance.

• The KIPS Transactions:PartC
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• v.18C no.2
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• pp.103-110
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• 2011

Although a mobile Internet telephony service becomes popular with the rapid propagation of smart phones, its service quality management system has not been prepared enough yet. For successful settlement and deployment of the mobile Internet telephony service in future, a strict service quality management is required. The service quality management using a specific measurement equipment has limitations that real-time monitoring is impossible. In this paper, therefore, we propose a proactive service quality management system for the mobile Internet telephony service and develop a software for its implementation. The developed software is verified by comparing the measurement results from the developed software to those from the softwares commonly used, and it is proved that the developed software is quite reliable.

• Journal of Korean Society for Quality Management
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• v.13 no.2
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• pp.61-65
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• 1985

The quality of a final SOFTWARE PACKAGE depends on many complicated factors in the software development process. This paper describes ststistical methods for establishing relationships between final quality and development process factors. The final software quality is represented by the number of errors through the system test phase. The data presented here were gathered during the course of a real IS-month development project. Regression theory is used for data analysis. Some of the interesting results include the observation that specification changes during the development process have an adverse effect on final software quality.

• Journal of Korean Society for Quality Management
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• v.27 no.3
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• pp.125-141
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• 1999

Bayesian inference and model selection method for software reliability growth models are studied. Software reliability growth models are used in testing stages of software development to model the error content and time intervals between software failures. In this paper, we could avoid the multiple integration by the use of Gibbs sampling, which is a kind of Markov Chain Monte Carlo method to compute the posterior distribution. Bayesian inference and model selection method for Jelinski-Moranda and Goel-Okumoto and Schick-Wolverton models in software reliability with Poisson prior information are studied. For model selection, we explored the relative error.

• Korean Management Science Review
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• v.23 no.2
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• pp.75-91
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• 2006

The purpose of this paper is to propose a new software development cost estimation method using SVR(Support Vector Regression) SVR, one of machine learning techniques, has been attracting much attention for its theoretic clearness and food performance over other machine learning techniques. This paper may be the first study in which SVR is applied to the field of software cost estimation. To derive the new method, we analyze historical cost data including both well-known overseas and domestic software projects, and define cost drivers affecting software cost. Then, the SVR model is trained using the historical data and its estimation accuracy is compared with that of the linear regression model. Experimental results show that the SVR model produces more accurate prediction than the linear regression model.

• Korean Management Science Review
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• v.14 no.1
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• pp.131-149
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• 1997

Software cost estimation is an important both for buyers and sellers(developers). We reviewed domestic and foreign researches and practices on software cost estimation with function point method comprehensively, In this paper, we derived four promising alternative function point models. They are an IFPUG(International Function Point User Group)-based model(Model I), a shorthand model for client/sever software systems(Model II), a data-oricnted model for relatively large software projects(Model III), and a general- purpose function point model for non business application softwares as well as business applications(Model IV). Empirical data shows that Model I, II, and IV are very useful function point models. In particular, model II and IV look very useful models since they are concise and accurate. These models can be incorporated in a new improved guideline for software cost estimation. General opinion survey shows that Model I, II and IV are preferable. There are no significant differences in preference between buyers and sellers. The survey also shows that users think function point method is better than step(line of code)-oriented cost estimation methods in many ways including objectivity and estimation accuracy.