• International journal of advanced smart convergence
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• v.13 no.2
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• pp.48-60
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• 2024

With the exponential growth of satellite data utilization, machine learning has become pivotal in enhancing innovation and cybersecurity in satellite systems. This paper investigates the role of machine learning techniques in identifying and mitigating vulnerabilities and code smells within satellite software. We explore satellite system architecture and survey applications like vulnerability analysis, source code refactoring, and security flaw detection, emphasizing feature extraction methodologies such as Abstract Syntax Trees (AST) and Control Flow Graphs (CFG). We present practical examples of feature extraction and training models using machine learning techniques like Random Forests, Support Vector Machines, and Gradient Boosting. Additionally, we review open-access satellite datasets and address prevalent code smells through systematic refactoring solutions. By integrating continuous code review and refactoring into satellite software development, this research aims to improve maintainability, scalability, and cybersecurity, providing novel insights for the advancement of satellite software development and security. The value of this paper lies in its focus on addressing the identification of vulnerabilities and resolution of code smells in satellite software. In terms of the authors' contributions, we detail methods for applying machine learning to identify potential vulnerabilities and code smells in satellite software. Furthermore, the study presents techniques for feature extraction and model training, utilizing Abstract Syntax Trees (AST) and Control Flow Graphs (CFG) to extract relevant features for machine learning training. Regarding the results, we discuss the analysis of vulnerabilities, the identification of code smells, maintenance, and security enhancement through practical examples. This underscores the significant improvement in the maintainability and scalability of satellite software through continuous code review and refactoring.

• International Commerce and Information Review
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• v.2 no.1
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• pp.25-48
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• 2009

With the rapid growth of e-logistics in the global logistics industry, it is important to gain further insight into this growing segment of Chinese logistics industry. The current situation in China consists of many small and medium-sized logistics firms. Furthermore, e-logistics is still relatively undeveloped in the majority of the Chinese logistics companies and presently there are still many problems unresolved. This paper attempted to review the concepts and theoretical background of e-logistics systems from previous studies. After acknowledging the essential issues related to e-logistics systems, a research model based on the theory acceptance model was designed and tested. The key factors to the e-logistics system (reliability, maintainability, software, facility and transportation) were validated through the modeling and testing process. Included in the modelling and testing process are other related factors of e-logistics process, logistics information system and added value as dependent variables in this model. The results of this study confirm that the e-logistics Process is affected by transportation, while maintainability and software factors influence logistics information system. reliability, maintainability, facility and transportation are significant factors associated with added value. This research aimed to provide theoretical and practical contribution to Chinese logistics companies and to give some insights into e-logistics system as a whole. The paper also provided some useful theoretical implication and practical guidelines for the development of e-logistics system in the chinese logistics industry.

• International Commerce and Information Review
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• v.11 no.2
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• pp.3-26
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• 2009

With the rapid growth of e-logistics in the global logistics industry, it is important to gain further insight into this growing segment of Chinese logistics industry. The current situation in China consists of many small and medium-sized logistics firms. Furthermore, e-logistics is still relatively undeveloped in the majority of the Chinese logistics companies and presently there are still many problems unresolved. This paper attempted to review the concepts and theoretical background of e-logistics systems from previous studies. After acknowledging the essential issues related to e-logistics systems, a research model based on the theory acceptance model was designed and tested. The key factors to the e-logistics system (reliability, maintainability, software, facility and transportation) were validated through the modeling and testing process. Included in the modelling and testing process are other related factors of e-logistics process, logistics information system and added value as dependent variables in this model. The results of this study confirm that the e-logistics Process is affected by transportation, while maintainability and software factors influence logistics information system. reliability, maintainability, facility and transportation are significant factors associated with added value. This research aimed to provide theoretical and practical contribution to Chinese logistics companies and to give some insights into e-logistics system as a whole. The paper also provided some useful theoretical implication and practical guidelines for the development of e-logistics system in the chinese logistics industry.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2001.12a
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• pp.324-327
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• 2001

본 논문은 Chidamber와 Kemerer가 제안한 객체지향 설계를 위한 척도를 바탕으로 이를 확장하여 클래스 상속 구조의 유지보수성을 이해성과 변경성 측면에서 측정하는 새로운 객체지향 척도를 제안했다. 그리고 클래스 상속 구조의 예를 들어 비교 평가를 함으로써 Chidamber와 Kemerer의 척도 및 Henderson-Sellers의 척도보다 우수함을 보였다.

• 한국데이터정보과학회:학술대회논문집
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• 2006.11a
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• pp.97-112
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• 2006

FRACAS(Failure Reporting, Analysis and Corrective Action System) is intended to provide management visibility and control for reliability and maintainability improvement of hardware and associated software by timely and disciplined utilization of failure and maintenance data to generate and implement effective corrective actions to prevent failure recurrence and to simplify or reduce the maintenance tasks. This process applies to acquisition for the design, development, fabrication, test, and operation or military systems, equipment, and associated computer programs. This paper shows the FRACAS development process and developed FRACAS system for a defense equipment.

• The KIPS Transactions:PartD
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• v.8D no.4
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• pp.401-408
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• 2001

Object-oriented software development methods are used to develop object-oriented software systems. Object-oriented systems are believed to habe better modularity, reusability, maintainability, and extensibility than systems modeled in conventional methods. Current object-oriented software development methods, however, are modeled in terms of procedural, functional, and structural models. There models cause problems such as tight coupling among activities, and uncontrolled access to global artifacts. In this paper, were introduce OMOS(Object-oriented software development Method for Object-oriented software System), an object-oriented modeling of object-oriented software development methods. Artifacts and their related activities are modeled as classes and objects. Development lifecycles are modeled as interactions among the objects. By modeling the software development method in an object-oriented way, OMOS achieves better reusability, flexibility, extensibility, and maintainability.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.164-167
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• 2007

Architectural Perspective라 함은 요구되는 품질의 특성이 시스템에 잘 반영되도록 하기 위한 활동, 전략 및 가이드라인을 정의한 것으로써, 다양한 관점에 바라보는 시스템에 대한 뷰(View)에 품질 속성을 반영하도록 하기 위한 것이다. 본 연구에서는 임베디드 소프트웨어의 유지보수 측면에서의 품질 향상을 위한 Maintainability Perspective를 제시한다. 제시하고자 하는 Perspective는 고장(failure)으로 인한 결함의 탐지성에 주안점을 두었으며, 이에 대한 아키텍처 패턴을 정의하였다. 정의된 패턴은 소프트웨어 아키텍처 개발에 적용하도록 함으로써, 임베디드 소프트웨어의 유지보수에 대한 품질 속성을 향상시키도록 하였다.

• Journal of Software Engineering Society
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• v.26 no.4
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• pp.93-103
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• 2013

Complexity and maintenance cost of software increase as much as software has been evolved, therefore importance of software maintenance recently arise. There are many signs that are difficulties to maintain software, called bad smell, in a large-scale software. The bad smell should be removed to improve maintainability. Recently, many software refactoring methods have researched to terminate the bad smell. In this paper, we propose how to identify long parameter list, which causes bad smell, and how to solve the problem for increasing software maintainability. In our approach, we classify the parameters for creating new objects by measuring semantic similarity among them. This is evaluated by experienced software developers, and the result is statistically verified.

• Journal of Digital Convergence
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• v.12 no.1
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• pp.371-377
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• 2014

Software quality is very important in software. We think, software testing is very important in point of functionality, usability. But, we have to consider about all of the software quality. We change our thinking about software quality from time to time. In this paper, we try to the best to find important factors by the number of testing dates and the number of testing in point of functionality, usability, reliability, efficiency, portability, maintainability. We study the mean of the number of faults according to products. We find the difference the number of errors by sex of tester.

• Proceedings of the IEEK Conference
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• 1998.10a
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• pp.229-232
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• 1998

Modern telecommunications are increasingly demanding the addition of complex switching features to switching system software. These improvements also should satisfy customer demands for quick provisioning of new service features. But whenever we have developed the switching system in various types, we met problems that are lack of system engineers and short developments terms. We need new guidelines of software design to meet the demands and overcome our problems. So we propose new software platform, scenario driven call control engine (SDCCE) for ATM switching system software and implement an effective call control software using scenarios for ATM Switching System. A scenario is a set of procedures and supplementary scenarios written in data structure and gives benefits to easy adapt new or modified function by adding a scenario. The goal of SDCCE is to increase reusability and readability of software. Especially, it gives a good software extensibility and maintainability. And when we developed ptmp call processing control software, we could get high productivity by reusing scenarios and procedures of ptp call processing control software. We applied the scenario driven call control software to ATM switching system.