• 한국IT서비스학회지
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• 제10권4호
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• pp.191-204
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• 2011

Recently, many software companies are trying to improve the software quality and project outcome with more costs and efforts in development time. In the software convergence and integration environments, it is required efforts to gain high quality of software. In other words, it is required to utilize software engineering knowledge and technology for higher software quality and better software project productivity. The Software development productivity can be varied by software process capability according to building a framework for software development, selection and use of appropriate technology, human resource management. Software process capability will influence software project outcome which is the general opinion. This study provides empirical evidence about software engineering efforts and investment approach to lead software project performance. We measured the software engineering efforts by SW engineering level and analyzed the corelation between software engineering level and schedule deviation. And, we verified that this performance is affected by the size of software company. As a result, software process capability is important to build a infrastructure and develop systematically software project. The higher software engineering level can lead to improved software project performance.

• 한국컴퓨터정보학회논문지
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• 제17권8호
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• pp.123-133
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• 2012

최근들어 IT 융복화가 빠르게 진행됨에 따라, SW의 역할과 활용범위가 확대되고 있다. 증가하는 SW 수요와 품질에 대한 요구사항을 만족시키기 위해, 많은 SW 기업들이 SW제품에 대한 품질과 프로젝트의 성과를 높이기 위해 SW 프로세스 개선을 추진하고 있다. SW 프로세스 개선은 많은 비용과 기간이 요구되는 어려운 작업임에도 불구하고, SW 프로세스 개선의 성과에 대한 객관적인 증거는 여전히 부족한 실정이다. 따라서, 본 연구는 SW 프로세스 개선과 SW 개발 프로젝트 생산성간의 관계를 분석하는데 초점을 두고 있다. 즉, SW 공학수준에 따라 SW 개발 생산성이 차이가 나는지를 통계적 분석방법을 활용하여 검증하고 있다. 분석결과에 따르면, SW 공학수준에 따라 SW 개발 생산성이 다르게 나타나며, SW 공학수준이 높을수록 SW 개발 생산성이 높은 것으로 나타나고 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권8호
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• pp.2974-2992
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• 2021

Crowd-based outsourcing is an emerging trend in testing, which integrates advantages of crowd-based outsourcing in software testing. Open call format is used to accomplish various network tasks involving different types of testing levels and techniques at various places by software testers. Crowd-sourced software testing can lead to an improper testing process as if it does not allocate the right task to the right crowd with required skills and not choose the right crowd; it can lead to huge results, which become time-consuming and challenging crowd-source manager for the identification of improper one. The primary purpose of this research is to make crowd-based outsourced software testing more effective and reliable by relating association between the software tester, personality characteristic, and different levels of software testing, i.e., unit, integration, and system, in order to find appropriate personality characteristic for required testing level. This research has shown an observed experiment to determine which software testing level suits which personality characteristic tester in a crowd-based software testing environment. A total of 1000 software testers from different software houses and firms in Pakistan were registered to perform tasks at different software testing levels. The Myers-Briggs Type Indicator (MBTI) test is used to identify each tester's personality characteristic involved in this research study.

• International journal of advanced smart convergence
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• 제10권2호
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• pp.130-137
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• 2021

In the current software project, it is still very difficult to extract and define clear requirements in the requirement engineering. Informal requirements documents based on natural language can be interpreted in different meanings depending on the degree of understanding or maturity level of the requirements analyst. Also, Furthermore, as the project progresses, requirements continue to change from the customer. This change in requirements is a catastrophic failure from a management perspective in software projects. In the situation of frequent requirements changes, a current issue of requirements engineering area is how to make clear requirements with unclear and ambigousrequirements. To solve this problem, we propose to extract and redefine clear requirements by incorporating Design Thinking methodologies into requirements engineering. We expect to have higher possibilities to improve software quality by redefining requirements that are ambiously and unclearly defined.

• 한국정보처리학회논문지
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• 제3권4호
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• pp.846-854
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• 1996

본 연구에서는 소프트웨어 위기의 주요 원인인 유지보수 문제를 해결하기 위한 방안을 제시하기 위한 것으로, 국내의 유지보수 문제점과 현황을 설문으로 기초 조 사·분석하고 면담과 문헌을 참고하여 문제점을 해결하고자 하였다. 연구의 결과로 유지보수 생명주기를 정의하고 유지 보수를 효율적으로 수행하기 위한 기본 전략을 수립하고, 수립된 기본 전략을 구현하기 위한 유지보수 지원 시스템을 개략 설계하여 유지보수 시스템의 자동화 설계를 위한 기반을 구축하였다.

• ETRI Journal
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• 제30권1호
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• pp.47-58
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• 2008

In sensor networks, analyzing power consumption before actual deployment is crucial for maximizing service lifetime. This paper proposes an instruction-level power estimator (IPEN) for sensor networks. IPEN is an accurate and fine grain power estimation tool, using an instruction-level simulator. It is independent of the operating system, so many different kinds of sensor node software can be simulated for estimation. We have developed the power model of a Micaz-compatible mote. The power consumption of the ATmega128L microcontroller is modeled with the base energy cost and the instruction overheads. The CC2420 communication component and other peripherals are modeled according to their operation states. The energy consumption estimation module profiles peripheral accesses and function calls while an application is running. IPEN has shown excellent power estimation accuracy, with less than 5% estimation error compared to real sensor network implementation. With IPEN's high precision instruction-level energy prediction, users can accurately estimate a sensor network's energy consumption and achieve fine-grained optimization of their software.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권4호
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• pp.1275-1292
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• 2021

As a fine-grained classification problem, aspect-level sentiment classification predicts the sentiment polarity for different aspects in context. To address this issue, researchers have widely used attention mechanisms to abstract the relationship between context and aspects. Still, it is difficult to effectively obtain a more profound semantic representation, and the strong correlation between local context features and the aspect-based sentiment is rarely considered. In this paper, a hybrid attention capsule network for aspect-level sentiment classification (ABASCap) was proposed. In this model, the multi-head self-attention was improved, and a context mask mechanism based on adjustable context window was proposed, so as to effectively obtain the internal association between aspects and context. Moreover, the dynamic routing algorithm and activation function in capsule network were optimized to meet the task requirements. Finally, sufficient experiments were conducted on three benchmark datasets in different domains. Compared with other baseline models, ABASCap achieved better classification results, and outperformed the state-of-the-art methods in this task after incorporating pre-training BERT.

• 품질경영학회지
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• 제30권1호
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• pp.22-46
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• 2002

Recently, increasing attention has been paid to building the software quality and software productivity due to ongoing software crisis. To overcome such problem, one of the many alternatives is to use the capability maturity model (CMM) suggested by the Software Engineering Institute(SEI), focusing on the improvement of software progress. This research is proposed the theoretical framework for CMM based on the previous studies, and review the status of software process on the software development organization. We then examine the impact of the software process capability on the organizational performance including financial measures and non-financial measures. Hypotheses on software process capability were tested 144 organizational units. The 62.5% of foreign companies are distribute to the second and third level, the Korean firms in this study are indicated the first level. Result indicate that maturity of software process may be served the key predictor of organizational performance, in particular the positive relationship between the software process and non-financial performance index such as customer service, IT Infrastructure, marketing, supplier and purchaser, production and operation.

• 한국컴퓨터정보학회논문지
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• 제19권2호
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• pp.209-219
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• 2014

IT 융 복합화와 소프트웨어의 역할의 급속한 확대되면서 많은 기업들이 소프트웨어 프로세스 개선에 관심과 투자를 늘려왔다. 하지만 이런 소프트웨어 프로세스 개선활동이 조직의 실제 성과나 프로젝트의 성과로 이어진다는 것을 보여주는 국내 실증연구는 여전히 부족한 편이다. 본 연구에서는 기존의 소프트웨어 프로세스 개선 모델들이 제시하고 있는 기본적인 가정사항인 소프트웨어 프로세스성숙도가 높으면 조직이나 프로젝트의 성과가 좋게 나타나는지를 살펴보고, 이들의 관계가 조직의 변화의지에 따라 달라지는지를 살펴보는 것이다. 이를 위해 총 104개 소프트웨어 프로젝트 데이터를 수집하여 분석에 활용하였다. 분석결과 소프트웨어 프로세스 수준이 높은 조직일수록 프로젝트 납기성과가 좋은 것으로 나타났으며, 조직변화의지가 높을수록 프로세스 개선의 성과도 높게 나타나고 있다.

• Nuclear Engineering and Technology
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• 제31권1호
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• pp.58-67
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• 1999

The purpose is to produce a model of nuclear reactor trip logic caused by the steam generator water level of Wolsong 2/3/4 unit through an activity chart and a statechart and to produce C language automatically using Statechart-based Formalism and Stalemate MAGNUM toolset suggested by David Harel Formalism. It was worth attempting auto-generation of C language though we manually made Software Requirement Specification(SRS) for safety-critical software using statechart-based formalism. Most of the phases of the software life-cycle except the software requirement specification of an analysis phase were generated automatically by Computer Aided Software Engineering (CASE) tools. It was verified that automatically produced C language has high productivity, portability, and quality through the simulation.