• 시스템엔지니어링학술지
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• 제7권2호
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• pp.39-43
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• 2011

Modern naval ships are large complex systems with the number of requirements ranges from thousands to tens of thousands. To build a quality ship, the satisfaction of the requirements should be traced. In most shipbuilding projects it is almost impossible to manage all the requirements without a proper CASE (computer aided systems engineering) tool. And for effective management of the shipbuilding project, the integrated database for technical data is very important. This paper describes how the requirements are managed, and the integrated database is built in the naval shipbuilding industry in Korea.

• 한국컴퓨터정보학회논문지
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• 제25권7호
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• pp.27-37
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• 2020

본 연구의 목적은 다양한 도메인에 대한 소프트웨어 요구사항 명세서로부터 수집된 요구사항을 데이터로 활용하여 데이터 중심적 접근법(Data-driven Approach)의 연구를 통해 요구사항을 분류한다. 이 과정에서 기존 요구사항의 특징과 정보를 바탕으로 다양한 자연어처리를 이용한 데이터 전처리와 기계학습 모델을 통해 요구사항을 기능적 요구사항과 비기능적 요구사항으로 분류하고 각 조합의 결과를 제시한다. 그 결과로, 요구사항을 분류하는 과정에서, 자연어처리를 이용한 데이터 전처리에서는 어간 추출과 불용어제거와 같은 토큰의 개수와 종류를 감소하여 데이터의 희소성을 좀 더 밀집형태로 변형하는 데이터 전처리보다는 단어 빈도수와 역문서 빈도수를 기반으로 단어의 가중치를 계산하는 데이터 전처리가 다른 전처리보다 좋은 결과를 도출할 수 있었다. 이를 통해, 모든 단어를 고려하여 가중치 값은 기계학습에서 긍정적인 요인을 볼 수 있고 오히려 문장에서 의미 없는 단어를 제거하는 불용어 제거는 부정적인 요소로 확인할 수 있었다.

• 시스템엔지니어링학술지
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• 제18권2호
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• pp.50-57
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• 2022

Along with the development of the 4^th Industrial Revolution technology, artificial intelligence technology is also being used in the field of systems engineering. This study analyzed the development status of artificial intelligence technology in the areas of systems engineering core processes such as stakeholder needs and requirements definition, system requirement analysis, and system architecture definition, and presented future technology development directions. In the definition of stakeholder needs and requirements, technology development is underway to compensate for the shortcomings of the existing requirement extraction methods. In the field of system requirement analysis, technology for automatically checking errors in individual requirements and technology for analyzing categories of requirements are being developed. In the field of system architecture definition, a technology for automatically generating architectures for each system sector based on requirements is being developed. In this study, these contents were summarized and future development directions were presented.

• 사물인터넷융복합논문지
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• 제9권6호
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• pp.45-50
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• 2023

소프트웨어 개발에서 요구사항 도출 및 분석은 매우 중요한 단계이며, 다양한 이해관계자가 관여하기 때문에 많은 시간과 노력을 필요로 한다. ChatGPT는 다양한 문서를 학습한 대규모 언어 모델로서 코드 생성, 디버깅 등의 능력은 물론 소프트웨어 분석 설계 영역에서도 활용할 수 있는 능력을 갖고 있는 것으로 연구되고 있다. 본 논문에서는 ChatGPT의 이러한 능력을 활용하여 소프트웨어 요구사항 도출, 시스템 목표에 적합한 요구사항 분석, 유스케이스 형태로 문서화하는 요구공학 방법을 제안한다. 소프트웨어 요구공학에서 이해관계자, 분석가, ChatGPT는 협업 모델을 가져야 하며, 요구사항 도출, 분석, 명세화에서 ChatGPT의 결과를 초기 요구사항으로 하여 분석가와 이해관계자가 점검 및 내용을 추가하는 형태로 요구공학이 진행하는 것을 제안한다. ChatGPT의 성능이 향상될수록 요구사항의 도출 및 분석이 점차 정확도를 높일 수 있을 것이며, 소프트웨어 요구공학에서 시간 및 비용을 절감할 수 있을 것이다.

• 한국컴퓨터정보학회논문지
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• 제24권3호
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• pp.95-104
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• 2019

Crowdsourcing is growing its interests in designing where various designers work independently to a given design task. Recent researchers discovered that collaboration by sharing designs among designers helps to produce high-quality designs. However, design task may still be hard even with that collaboration in case the requirements are not well-defined. Most customers sometimes do not know what they really want and do not know how to clearly define the requirements. Consequently, the lack of requirements creates issues on designers, such as spending much time and effort on collecting requirements alone or from the customers. The designers even end up missing important necessities to complete their tasks. To address this issue, we proposed a collaborative requirements elicitation method that supports designers who are working on the same task. We developed CREFD (Collaborative Requirements Elicitation For Designers and Developers) tool to enable designers collaboratively provide requirements, identify dependencies, add annotations and votes to the provided requirements. We performed the hypothetical and empirical evaluations to test and compare the proposed method with one of the existing elicitation methods, the results show that the proposed method helps in collecting accepted and well-organized requirements better than individual requirements elicitation.

• International Journal of Knowledge Content Development & Technology
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• 제9권4호
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• pp.95-114
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• 2019

The digitization of traditional medical knowledge in Tanzania will greatly enhance its preservation and dissemination. This is especially important given the challenges facing the current methods of preserving and managing such knowledge. This study presents the requirements engineering approaches and requirements for a web-mobile application that would successfully digitize indigenous knowledge of phytomedicine and relevant practitioners licensing and registration processes. To establish the requirements of such a digital system application, the study sought the opinion of 224 stakeholders whose suggestions were used to analyze and model the requirements for designing such a web-mobile tool. The study was carried out in Arusha, Kagera and Dar es Salaam regions of Tanzania which involved ethnobotanical researchers, herb practitioners, curators from herbaria and registrar officers from Traditional and Alternatives Health Practice Council. Structured interview, survey, observation and document review were employed to find out the basic functional and non-functional requirements for possible designing and implementation a web-mobile application that would digitize indigenous knowledge of medicinal plants. The requirements were modelled using the use case and context diagrams. Finally, the study came up with a list of items for both functional and non-functional requirements that can be used as guidelines to develop a web-mobile application that will capture and document traditional medical knowledge of medicinal plants in Tanzania and, enabling relevant authorities to regulate and manage stakeholders.

• 한국정보과학회논문지:소프트웨어및응용
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• 제32권12호
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• pp.1164-1177
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• 2005

현재 소프트웨어 개발 공정이 복잡해짐에 따라 개발하는 소프트웨어의 요구사항 역시 복잡해지고 있으며 요구사항 관리에 많은 노력이 소요되고 있다. 그러나 소프트웨어의 요구사항을 처음부터 모두 정의하는 것은 사실상 불가능하며, 개발이 진행되면서 환경은 변하기 마련이다. 또한 요구사항 변경은 개발보다 많은 비용이 소요되므로 체계적인 변경 관리를 통해 변경에 민첩하게 대응하고 관리되어야 한다. 본 논문에서는 소프트웨어 프로덕트 라인에서 요구사항 변경 관리 프로세스를 기반으로 체계적인 요구사항 변경 관리 방법을 제시한다. 소프트웨어 프로덕트 라인(software product lines)에서 어플리케이션의 요구사항은 도메인 요구사항과 밀접하게 관련되어 있으므로 어플리케이션 공학(application engineering) 단계에서 요구사항 변경이 발생했을 경우 도메인 공학(domain engineering) 단계를 이용하여 변경을 분석하고 관리하는 방법을 제시한다. 이러한 일관된 변경 관리를 통해 변경 범위를 분석하고, 변경 대처방안을 제시함으로써 변경 처리 결정을 내리는데 도움을 주며 한번 요청된 변경이 완벽하게 처리되도록 도와주어 같은 변경의 반복 요청을 막을 수 있기 때문에 잠재된 변경 비용을 절약할 수 있다.

• 정보통신설비학회논문지
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• 제9권1호
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• pp.13-18
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• 2010

As the importance of non-functional requirements has increased, many researchers have become interested in the software development process for non-functional requirements including the notation, modeling, and assessment of non-functional requirements. However, the characteristics of non-functional requirements are so sophisticated and there are many topics which have not been solved until now. In order to address one of the unsolved problems, we propose a systematic software development process to support the management of non-functional requirements. The process consists of six steps, each of which is composed of detailed activities. Using the proposed process, the non-functional requirements can be managed and modeled more effectively and systematically than previous ones.

• 대한인간공학회지
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• 제12권2호
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• pp.29-43
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• 1993

This paper presents a conceptual approach to convert customer requirements expressed in ordinary language into a form of qualitative and quantitative functions for developing new products. This approach attempts to combine the concepts of the value engineering and the Kansei engineering. It emphasizes that customer require- ments should be interpreted and reflected on the design of new product. Specific are discussed for extracting subjective requirements and transforming them into qualitative and quantitative functions for product design. This approach is expected to provide the product designer with a systematic efficient tool for incorporating subjective requirements into a product design.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.304-311
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• 2022

Construction inspection is a crucial stage that ensures that all contractual requirements of a construction project are verified. The construction inspection capabilities among state highway agencies have been greatly affected due to budget reduction. As a result, efficient inspection practices such as risk-based inspection are required to optimize the use of limited resources without compromising inspection quality. Automated prioritization of textual requirements according to their criticality would be extremely helpful since contractual requirements are typically presented in an unstructured natural language in voluminous text documents. The current study introduces a novel model for predicting the risk level of requirements using machine learning (ML) algorithms. The ML algorithms tested in this study included naïve Bayes, support vector machines, logistic regression, and random forest. The training data includes sequences of requirement texts which were labeled with risk levels (such as very low, low, medium, high, very high) using the fuzzy logic systems. The fuzzy model treats the three risk factors (severity, probability, detectability) as fuzzy input variables, and implements the fuzzy inference rules to determine the labels of requirements. The performance of the model was examined on labeled dataset created by fuzzy inference rules and three different membership functions. The developed requirement risk prediction model yielded a precision, recall, and f-score of 78.18%, 77.75%, and 75.82%, respectively. The proposed model is expected to provide construction inspectors with a means for the automated prioritization of voluminous requirements by their importance, thus help to maximize the effectiveness of inspection activities under resource constraints.