• Journal of the Korea Institute of Military Science and Technology
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• v.22 no.6
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• pp.784-796
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• 2019

As the size and complexity of software increases, it is important to ensure the quality of software through testing. Many organizations refer to international standards or test process models to improve the quality of software through establishing a systematic test process. However, these standards and process models provide general processes that do not reflect the characteristics of the domain or the organization's test policies and strategies. To establish a test process that reflects the characteristics of the organization, test policies and strategies based on the organization's quality objectives and the organizational and domain characteristics should be reflected. This study proposes specific methods for eliciting activities and information to establish organizational software test policies and strategies that are essential to establishing a test process that reflects the characteristics of the organization and the system.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.1-7
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• 2015

Many people are interesting software quality. Because of, we depend on software in our life. In terms of, I think, good software is a good quality software. So, when we develop the software, we need trying to improve software quality. In this paper, we analyze software test data. We emphasize that software quality is very important in our life. We use software experimental data, in order to analyze of software quality. On the basis of ISO/IEC 9126-2, we classify the test data and we analyze the difference of error frequency according to functionality, reliability, usability, efficiency, maintainability, portability. We analyze the number of test and used time according software type. We want to search effect variable, going through testing result and measurement convergence, we know the effect variable of functionality and efficiency.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06b
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• pp.156-158
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• 2011

최근 많은 테스트 방법론이 연구되고, 자동화 툴이 개발되었지만 아직까지도 실제 프로젝트 현장에서는 개발자 혹은 테스터의 노동력으로 테스트가 진행되고 있다. 빠르게 발전하는 기술, 짧은 개발 주기, 잦은 요구사항 추가 및 변경 등의 어려운 SI 프로젝트 환경 속에서 현재 개발/배포된 자동화 툴 들을 적극적으로 활용한다면 소프트웨어 품질 향상에 도움을 받을 수 있다. 따라서 본 연구에서는 현재 개발/배포된 오픈소스 중 SI프로젝트에서 적용 가능한 툴들의 종류 및 활용 가능한 시스템 구성, 도입 시 효과 등에 대해 연구한다. 프로젝트 현장의 상황을 고려한 테스트 자동화 기술 도입은 개발자가 노동력으로 테스트하는 것 보다 빠른 시간 안에 다양한 테스트를 수행할 수 있도록 도와주고, 완성된 소프트웨어의 품질을 향상시켜 사용자들에게 오류로 인한 불편을 감소하는 역할을 할 것이다. 또한 수치화된 품질 자료를 획득할 수 있어 향후 품질 정책을 수립하는데 기초가 되는 자료로 활용 될 수 있을 것으로 기대한다.

• Proceedings of the Korean Reliability Society Conference
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• 2004.07a
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• pp.207-210
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• 2004

컴퓨터 소프트웨어는 이제 우리의 일상적인 삶에서 필수불가결한 요소이며 시스템의 운용에 중요한 요인이 되었다. 최근에 들어서는 소프트웨어 비용이 하드웨어 비용을 초과하게 되면서 소프트웨어를 개발하는데 필요한 비용과 더불어 소프트웨어 고장에 의한 비용의 중요성이 더 커지게 되었다. 본 논문에서는 Non-Homogeneous Poisson Process(NHPP)에 기초한 소프트웨어 비용 모형을 제안하려고 한다. 개발초기단계에서 출시 전까지의 소프트웨어 개발비용과 테스트비용, 출시이후의 보증기간동안의 제반비용, 소프트웨어 고장에 의한 위험비용 등을 포함하는 소프트웨어 비용 모형을 제안하고 소프트웨어의 최적 출시시기를 결정하는 효과적인 정책을 제시하려고 한다.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.1
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• pp.1-8
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• 2018

Software testing is important to determine the reliability of the system, a task that requires a lot of effort and cost. Model-based testing has been proposed as a way to reduce these costs by automating test designs from models that regularly represent system requirements. For each path of model to generate an input value to perform a test, meta-heuristic technique is used to find the test data. In this paper, we propose an automatic test data generation method using a slicing method and a priority policy, and suppress unnecessary computation by excluding variables not related to target path. And then, experimental results show that the proposed method generates test data more effectively than conventional method.

• Journal of the Korea Convergence Society
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• v.8 no.10
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• pp.37-43
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• 2017

In this paper, we propose a method for estimation software quality in terms of software test data, and it is necessary to predict the period of time required for software test evaluation. We need a model to understand of estimation of software quality. In this paper, we propose a model to estimate the number of days for software test using the data obtained through the tester's sex, and present a model for analysing the number of errors according to six quality characteristics by software type.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.598-601
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• 2017

소프트웨어 테스트는 시스템의 신뢰도를 판단하는 중요한 작업이지만, 많은 노력과 비용을 필요로 한다. 모델 기반 테스트는 이러한 비용을 줄이기 위한 방안으로써 제안되었다. 정형적 모델로부터 시스템의 실행 가능한 경로를 파악하고, 각 경로마다 입력 값을 생성하여 테스트를 수행한다. 이 때, 적절한 입력 값을 찾기 위해 메타-휴리스틱 기법을 사용하는데, 기존의 알고리즘은 목적 경로와 관련이 없는 변수까지 구분없이 고려하기 때문에 시스템이 복잡할수록 불필요한 연산이 많아지는 문제가 있다. 본 논문은 슬라이싱 기법과 우선순위 정책을 적용한 테스트 데이터 자동 생성 기법을 제안하며, 실험을 통해 기존의 방법보다 효과적으로 테스트 데이터를 생성함을 보인다.

• The KIPS Transactions:PartD
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• v.16D no.6
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• pp.921-926
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• 2009

Vulnerabilities in software can result in many social and economic problems once it has already been deployed and put to use. Thus, the vulnerabilities should be seriously taken into consideration from the beginning step of software development. A modeling and simulation method for software can be adopted as a testing tool for establishing vulnerability inspection strategies. For verification of usability of this strategy, in this paper, we modeled the behavior of a DNS system using Ptolemy and the simulation was performed. The result shows that a well-known vulnerability of DNS server could be effectively found, which confirms that the modeling and simulation can be used for vulnerability testing.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.175-180
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• 2017

In accordance with the development of IT industry worldwide, software industry has also grown tremendously, and it is exerting influence on the general society starting from daily life to financial organizations and public institutions. However, various security threats that can inflict serious threat to provided services in proportion to the growing software industry, have also greatly increased. In this thesis, we suggest a smart fuzzing system combined with black box and white box testing that can effectively detectxdistinguish software vulnerability which take up a large portion of the security incidents in application programs.

• Journal of the Korea Convergence Society
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• v.10 no.4
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• pp.45-50
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• 2019

This study proposes a method to measure software reliability according to software reliability measurement model to measure software reliability. The model presented in this study uses the distribution of Non - Homogeneous Poisson Process and presents a measure of the software reliability of the presented model. As a method to select a suitable software reliability growth model according to the presented model, we have studied a method of proposing an appropriate software reliability function by calculating the mean square error according to the estimated value of the reliability function according to the software failure data. In this study, we propose a reliability function to measure the software quality and suggest a method to select the software reliability function from the viewpoint of minimizing the error of the estimation value by applying the failure data.