• Journal of Convergence for Information Technology
• /
• v.12 no.5
• /
• pp.15-20
• /
• 2022

This research studied the evaluation of reliability among the software quality characteristics: suitability, reliability, usability, portability, maintainability, performance efficiency, security, and compatibility. It proposes a quantitative evaluation of reliability in the measurement of software quality. This study introduces a method for measuring the failure rate included in maturity during reliability evaluation, which is one of the characteristics of software quality, and is a study with experimental data on how the failure rate changes depending on the form of failure data. Focusing on software testing, the failure rate was measured and compared according to the type of failure data by applying it to the software reliability growth model, focusing on the number of failures per day. The failure rate was measured around the failure time found through the 6-day test, and the failure rate was compared with the failure rate proposed by the international standard ISO/IEC 25023 using the measurement results, and the application was reviewed according to the data type.

• Journal of Korea Multimedia Society
• /
• v.25 no.2
• /
• pp.440-449
• /
• 2022

In recent years, the air pollution and Air Quality Index (AQI) has been a pivotal point for researchers due to its effect on human health. Various research has been done in predicting the AQI but most of these studies, either lack dense temporal data or cover one or two air pollutant elements. In this paper, a hybrid Convolutional Neural approach integrated with recurrent neural network architecture (CNN-LSTM), is presented to find air pollution inference using a multivariate air pollutant elements dataset. The aim of this research is to design a robust and real-time air pollutant forecasting system by exploiting a neural network. The proposed approach is implemented on a 24-month dataset from Seoul, Republic of Korea. The predicted results are cross-validated with the real dataset and compared with the state-of-the-art techniques to evaluate its robustness and performance. The proposed model outperforms SVM, SVM-Polynomial, ANN, and RF models with 60.17%, 68.99%, 14.6%, and 6.29%, respectively. The model performs SVM and SVM-Polynomial in predicting O3 by 78.04% and 83.79%, respectively. Overall performance of the model is measured in terms of Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE) and the Root Mean Square Error (RMSE).

• Journal of rehabilitation welfare engineering & assistive technology
• /
• v.7 no.1
• /
• pp.59-66
• /
• 2013

This study rehabilitation assistive technology system for people with disabilities employed by a company in the field of occupations and job satisfaction have adapted to, and for the rehabilitation assistive technology support(rehabilitation assistive technology hardware and the software) and service quality based on the quality of convenient for employees to work life by analyzing the factors that can act on adaptation employees on behavioral intentions was to determine the overall impact. Seoul, Gyeonggi, Incheon companies based in vocational education and training received in the employment of the disabled subject questionnaires were distributed, and finally 594 valid questionnaires were minor. In order to test the hypothesis SEM(structural equation model) were used, the results of this study can be summarized as follows. First, rehabilitation assistive technology hardware quality of the quality of rehabilitation assistive technology software affected. Second, rehabilitation assistive technology software quality on the quality of the service quality affected. Third, rehabilitation assistive technology hardware quality on the quality of the service quality affected. Fourth, quality of service, the quality of the adaptation of action for employees affected also. Fifth, rehabilitation assistive technology software for adaptive quality of the employees also had an impact on behavior. Sixth, rehabilitation assistive technology hardware to adapt the quality of the employees affected. And parameters (quality of service quality) influenced to as indirect effects. The results of this study support the rehabilitation assistive technology and rehabilitation assistive technology hardware and software) based, quality of service and quality of fused form acceptable to, the degree of action for employees to adapt more implications that may affect have provided.

• Journal of the military operations research society of Korea
• /
• v.33 no.2
• /
• pp.49-60
• /
• 2007

Recently, the application area of an embedded software become larger and larger rapidly due to the development of the wire and wireless communication, the expansion of the digital information device and the convergence of the digital devices and emphasize the effort of the development of more complete software. As a consequence, the importance of the software test process was raised to discover the defects of the software early and improve the quality of an embedded software. However there was no test process model for applying the embedded software which is required the highly precision and the real-time process. In this paper, therefore, we propose the design procedure and case study for the test maturity model of an embedded software(Emb-TMM) which reflects the characteristics of the embedded software and test process. for this, we suggest the three category of the proposed procedure which consists of the selection of the reference model and the derivation of the area, the categorization of the area level, and design model. Then we suggest the case study how the proposed procedure can be applied to the development of an embedded software actually.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2005.05a
• /
• pp.267-270
• /
• 2005

국내에서는 게임용 소프트웨어의 개발을 통한 부가가치의 창출 효과가 높아지면서 많은 IT 업체에서 제품 개발과 동시에 제품에 대한 평가에 관심을 가지게 되었다. 본 연구는 게임 소프트웨어의 품질 평가를 위해서 게임 소프트웨어의 결함을 발견하기 위한 버그 체크리스트를 구성하였다. 이러한 버그 체크리스트 구성을 위해서 게임 소프트웨어 사용자를 중심으로 설문조사를 실시하였으며 이러한 조사결과를 게임 소프트웨어의 품질 평가 메트릭을 개발하는데 적용하여 ISO/IEC 9126 평가 메트릭을 제시하였다.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.7 no.4
• /
• pp.169-181
• /
• 2011

The cooperation between universities and IT industry in producing IT manpower of quality is urgently called for to create the effective labor pool of supply and finally balance its supply and demand. Korean Government launched a program where industrial demand-driven curriculums are developed and applied to universities. This paper proposes a design technique of meta-modeling demand-driven curriculums and courses, based on the 3D software space and the software development process. This technique is proven to result in extensibility, flexibility and quality improvement in software design. Therefore, we expect that the proposed technique makes curriculums and courses possible to be continuously improved in many aspects.

• KIPS Transactions on Software and Data Engineering
• /
• v.5 no.3
• /
• pp.117-124
• /
• 2016

The demands for additional functionalities and improvements in performance of software increase over time. In particular, increases in software complexity and requirements for quality control attributed to continued maintenance lead to the deterioration of software quality and raises in software life cycle costs. In order to prevent this, software operators have to conduct timely redevelopment of the software. However, the scope of previous studies on timely redevelopment of software is limited to enterprises. We, in this study, suggest a model to derive the optimal cycle for the redevelopment of governmental agency software using Renewal process and discuss its correlation with previous studies.

• Journal of the Korea Society of Computer and Information
• /
• v.23 no.9
• /
• pp.81-86
• /
• 2018

Software defect severity is very important in projects with limited historical data or new projects. But general software defect prediction is very difficult to collect the label information of the training set and cross-project defect prediction must have a lot of data. In this paper, an unclassified data set with defect severity is clustered according to the distribution ratio. And defect severity-based prediction model is proposed by way of labeling. Proposed model is applied CLAMI in JM1, PC4 with the least ambiguity of defect severity-based NASA dataset. And it is evaluated the value of ACC compared to original data. In this study experiment result, proposed model is improved JM1 0.15 (15%), PC4 0.12(12%) than existing defect severity-based prediction models.

• Journal of Multimedia Information System
• /
• v.9 no.2
• /
• pp.75-86
• /
• 2022

The existing image quality assessment (IQA) datasets have a small number of samples. Some methods based on transfer learning or data augmentation cannot make good use of image quality-related features. A No Reference (NR)-IQA method based on multi-task training and quality awareness is proposed. First, single or multiple distortion types and levels are imposed on the original image, and different strategies are used to augment different types of distortion datasets. With the idea of weak supervision, we use the Full Reference (FR)-IQA methods to obtain the pseudo-score label of the generated image. Then, we combine the classification information of the distortion type, level, and the information of the image quality score. The ResNet50 network is trained in the pre-train stage on the augmented dataset to obtain more quality-aware pre-training weights. Finally, the fine-tuning stage training is performed on the target IQA dataset using the quality-aware weights to predicate the final prediction score. Various experiments designed on the synthetic distortions and authentic distortions datasets (LIVE, CSIQ, TID2013, LIVEC, KonIQ-10K) prove that the proposed method can utilize the image quality-related features better than the method using only single-task training. The extracted quality-aware features improve the accuracy of the model.

• International Journal of Computer Science & Network Security
• /
• v.22 no.8
• /
• pp.249-259
• /
• 2022

Project management and deployment has gone through a long journey from traditional and agile to continuous integration, continuous deployment and continuous monitoring. Software industry benefited with the latest buzzword in the development process, DevOps that not only escalates software productivity but at the same time enhances software quality. But the implementation and assessment of DevOps practices is expository as there are no guidelines to assess and improvise DevOps application in software industries. Hence, there was a need to develop a hybrid model to assist software practitioners in DevOps implementation. The intention behind this paper is to implement the already proposed DevOps hybrid model using suggested tool chains including Jenkins, Selenium, GitLab, Ansible and Nagios automation tools through Jenkins project management environment and plugins. To achieve this implementation objective, a java application is developed with a web-based graphical interface. Further, in this paper, different challenges and benefits of Jenkins implementation shall also be outlined. The paper also presents the effectiveness of DevOps based Model implementation in software organizations. The impact of considering other automation tools and models can also be considered as a part of further research.