• Journal of Internet Computing and Services
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• v.8 no.6
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• pp.115-125
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• 2007

Game software is tremendous popularity in inside and outside of the country, so it rises market value. Therefore, it is important to study for the evaluation models of game software. In a general way, I think that ISO/IEC 9126 is the international standard of the software quality testing. Especially, game software quality has been more important on users and developers, so we need the compliance testing model of the game software. In this paper, we evaluate the game software quality objectively and quantitatively, we propose the software quality metrics of testing. Also, we propose the evaluation model of game software on the basis of international standard ISO/IEC 9126, six quality characteristic point of view. That is functionality, reliability, usability, efficiency, portability, and maintainability.

• Journal of KIISE:Software and Applications
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• v.30 no.5_6
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• pp.389-397
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• 2003

The component-based development methodology becomes famous as the new way for reuse. The goal of the reuse is improvement of quality, productivity and independence on the software development. For the improvement in the quality of a component-based system, it is necessary to research component metrics in the early phase of a component development. Hence, in this paper, we propose new component metrics using the information of a component analysis phase. Those are CCI(Complexity of Component Interface) and LCC(Lack Cohesion of Component interface). CCI indicates a difficulty about comprehension, modification, management, use of interface. LCC indicates a functional independence about how strong the elements are related with. Therefore, it is possible to predict and manage the quality of a component to be developed. Predicting a lowness of complexity and highness of cohesion as an independent functional unit by a component interface in the early phase of a component development, we can expect the improvement in the quality of a system.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.6
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• pp.793-799
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• 2004

Many researches and validations for the complexity metrics of the object-oriented systems have been studied. Most of them are aimed for the measurement of the partial aspects of the systems, for example, the coupling between objects, the complexity of inheritance structures, the cohesion of methods, and so on. But the software practitioners want to measure the complexity of overall system, not partial. We studied the complexity of the overall structures of object-oriented systems by analyzing the class diagram of UML. The class diagram is composed of classes and their relations. There are three kinds of relations, association, generalization, and aggregation, which are making the structure of object-oriented systems to be difficult to understand. We proposed a heuristic metric to measure the complexity of object-oriented systems by putting together the three kinds of the relations. This metric will be helpful to the software developers for their designing tasks by evaluating the complexity of the structures of object-oriented system and redesigning tasks of the system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.7
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• pp.4500-4507
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• 2014

As the number of smart phone users is increasing exponentially, the scale of the future mobile market is expected to be very large. Many mobile applications are developing according to this growth trend. On the other hand, there has been little verification of the quality, such as the reusability or extensibility of the developed mobile applications. In particular, many users have expressed their dissatisfaction in the case of pay mobile applications. Therefore, developed to measure the quality of mobile applications in developing mobile applications. Overall, the degree of user satisfaction can be improved by realizing the quality verification of mobile applications by applying the proposed metrics.

• The KIPS Transactions:PartD
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• v.12D no.4 s.100
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• pp.609-616
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• 2005

The component-based development methodology becomes famous as the reuse technology to improve the high productivity of software development. It is necessary component metrics for component-based systems, because the designed components should be measurable to improve the quality of the software. Therefore this paper propose a coupling metric for component design which is reflected in characteristics of component. This paper suggest a case study and comparative analysis result about conventional metrics to verify the accuracy of our coupling metric. The Uoposed coupling metric measure the quality of components accurately and satisfies necessary conditions of coupling metric suggested by Briand and others.

• Proceedings of the KSR Conference
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• 2008.06a
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• pp.603-609
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• 2008

Nowadays, double-system of TFM(Track-side Functional Modules) developed instead of single-system in use of high speed line to acquisition more availability. Safety Law for Railroad recommend to quality certification of development and general railway machines. It is important to select metrics which form the bases for testing software products. A number of package software development part do not open source cords, so testing external characteristic vectors having relationship with metrics. In this paper, review the process for the TFM Point Modules, Universal Modules and Switchers, think about the test methode of circuit boards output performance by using TFM tester and Simulators.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.8
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• pp.596-600
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• 2009

To support an efficient management of software verification and validation activities, many defect prediction models have been proposed based on object oriented metrics. They usually adopt logistic regression analysis, And, they state that the correctness of prediction is about 60${\sim}$70%, We performed a similar experiment with Eclipse 3.3 to check their prediction effectiveness, However, the result shows that correctness is about 40% which is much lower than the original results. We also found that univariate logistic regression analysis produces better results than multivariate logistic regression analysis.

• ETRI Journal
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• v.44 no.5
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• pp.733-745
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• 2022

In software-defined wireless networking (SDWN), the optimal routing technique is one of the effective solutions to improve its performance. This routing technique is done by many different methods, with the most common using integer linear programming problem (ILP), building optimal routing metrics. These methods often only focus on one routing objective, such as minimizing the packet blocking probability, minimizing end-to-end delay (EED), and maximizing network throughput. It is difficult to consider multiple objectives concurrently in a routing algorithm. In this paper, we investigate the application of machine learning to control routing in the SDWN. An intelligent routing algorithm is then proposed based on the machine learning to improve the network performance. The proposed algorithm can optimize multiple routing objectives. Our idea is to combine supervised learning (SL) and reinforcement learning (RL) methods to discover new routes. The SL is used to predict the performance metrics of the links, including EED quality of transmission (QoT), and packet blocking probability (PBP). The routing is done by the RL method. We use the Q-value in the fundamental equation of the RL to store the PBP, which is used for the aim of route selection. Concurrently, the learning rate coefficient is flexibly changed to determine the constraints of routing during learning. These constraints include QoT and EED. Our performance evaluations based on OMNeT++ have shown that the proposed algorithm has significantly improved the network performance in terms of the QoT, EED, packet delivery ratio, and network throughput compared with other well-known routing algorithms.

• Journal of KIISE
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• v.43 no.4
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• pp.480-488
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• 2016

Search-Based Software Testing (SBST) is an effective technique for test data generation on large domain size. Although the performance of SBST seems to be affected by the structural characteristics of Software Under Test (SUT), studies for the comparison of SBST techniques considering structural characteristics are rare. In addition to the comparison study for SBST, we analyzed the best algorithm with different structural characteristics of SUT. For the generalization of experimental results, we automatically generated 19,800 SUTs by combining four metrics, which are expected to affect the performance of SBST. According to the experiment results, Genetic algorithm showed the best performance for SUTs with high complexity and test data evaluation with count ${\leq}20,000$. On the other hand, the genetic simulated annealing and the simulated annealing showed relatively better performance for SUTs with high complexity and test data evaluation with count ${\geq}50,000$. Genetic simulated annealing, simulated annealing and hill climbing showed better performance for SUTs with low complexity.

• Journal of KIISE:Software and Applications
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• v.30 no.12
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• pp.1135-1148
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• 2003

A commercial-off-the-shelf (COTS) component is an implementation of common functionality among family members, where an in-house component implements an organization-specific functionality. Typically, a COTS component has a producer and aset of potential consumers. Consumers evaluate COTS components thoroughly before they purchase, because these components are developed by third party producers and most consumers have ‘not-invented-here’ syndrome. Hence, evaluating the quality of COTS components becomes an important prerequisite to a successful component-based application development. In this paper, we identify the characteristics of COTS components, and derive a practical quality model for components, C-QM, which consists of quality factors, criteria and metrics and a qualify certification system, C-QCS. The top design goal of C-QM is set to provide a practically applicable comprehensive quality model which can be effectively applied in assessing the various quality aspects of COTS components.