• Journal of the Korea Society of Computer and Information
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• v.14 no.1
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• pp.17-24
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• 2009

According to increasing requirments in embedded systems, embedded software has been more complicated then before, a software developer is required to test her/his software to make a efficient embedded system software in both time and space. This paper suggests a testing tool with which a software developer can easily test the embedded system software in cross-development environments. The suggested tool is designed based on host/target architecture, to provide an intuitive test environment in which a test case can be executed in a target board. The tool uses an XML-based test script to generate an appropriate test case. It includes a tree-based test script editor with which a developer can easily make a test case. Therefore, with the suggested tool, a develop can put down a burden on an software testing and get more productivity in software development related on embedded system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.6
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• pp.18-27
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• 2020

This study compared and analyzed the results of proficiency testing between testers based on the international standard ISO/IEC 17043 proficiency testing requirements using ISO/IEC 25023 software quality characteristics evaluation. Application of the test was submitted to the KASTO as a software test in the electric test field defined by KOLAS. Among ISO/IEC 25023, the evaluation items for proficiency testing between testers were selected as functional completeness and time behavior. The comparison test between testers was carried out on May 28, 2019 at the accredited LG Electronics SW Laboratory in Seoul and attended by KOLAS assessors. The test evaluation method was measured once per tester with functional completeness, and measurement was repeated 10 times per tester according to time behavior. As a result, in the case of functional completeness, all 12 test steps were passed, and the satisfaction was evaluated. Time behavior was repeated 10 times, and the mean was 9.45 ± 0.01 seconds for testers 1 and 3 and 9.52 ± 0.0 seconds for tester 2, but there was no statistically significant difference. In conclusion, the proficiency of the testers was equal, and the reliability of the test results of the test institute was confirmed.

• Communications for Statistical Applications and Methods
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• v.20 no.6
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• pp.467-474
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• 2013

It is common to measure multiple coverage metrics during software testing. Software reliability growth models and coverage growth functions have been applied to each coverage metric to evaluate software reliability; however, analysis results for the individual coverage metrics may conflict with each other. This paper proposes the virtual coverage metric of a normalized first principal component in order to avoid conflicting cases. The use of the virtual coverage metric causes a negligible loss of information.

• Journal of Korea Multimedia Society
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• v.20 no.8
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• pp.1338-1346
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• 2017

To achieve software quality and human-centred design for electronic ship navigation called e-navigation, an international guideline of software quality assurance and human-centred design was approved in 2015. Usability is a common goal of both software quality assurance and human-centred design as developing e-navigation system and software developments. Therefore, research is needed to evaluate the usability of e-navigation systems and software such as metrics that can use usability testing. This paper derives effectiveness metrics for e-Navigation usability testing based on international standards. The research method is to analyses and compares the effectiveness measurement and metrics in ISO 9241-11 for human-centered design and ISO/IEC 25022 and 25023 for software quality to find out measurements and metrics being defined commonly. The derived metrics are applied to Electronic Chart Display and Information System as a case study based on performance standard.

• Journal of the Korean Society for Railway
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• v.12 no.1
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• pp.81-87
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• 2009

Recent advances in computer technology have brought more dependency on software to railway signalling system. While much efforts have been reported to evaluate embedded software safety for railway signalling systems, not so much systematic approaches to evaluate software safety testing. In this paper, we propose a adaption of automatic software testing tool in terms of the design & coding standard for railway signalling system. The test items for the design & coding standard suggested in this study related international standards and MISRA-C. It is anticipated that it will be greatly helpful for the evaluation on the software for railway signalling system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.889-891
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• 2013

A Study of Quality Evaluation Model for Automotive Software R&D Project.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.4
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• pp.25-34
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• 2012

In this study, in the process of testing before the release of the software products designed, software testing manager in advance should be aware of the testing-information. Therefore, the effective learning effects perspective has been studied using the NHPP software. The finite failure nonhomogeneous Poisson process models presented and applied property of learning effect based on truncated time and delayed S-shaped software reliability. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. As a result, the learning factor is greater than autonomous errors-detected factor that is generally efficient model can be confirmed. This paper, a failure data analysis was performed, using time between failures, according to the small sample and large sample sizes. The parameter estimation was carried out using maximum likelihood estimation method. Model selection was performed using the mean square error and coefficient of determination, after the data efficiency from the data through trend analysis was performed.

• Journal of KIISE:Software and Applications
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• v.36 no.5
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• pp.353-360
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• 2009

Software, once developed, has a long life and evolves through numerous additions and modifications because of the faults, the changes in user requirements, the changes in environments, and so forth. With the evolution of the software, assuring the quality of the software is getting more difficult because of numerous versions of the software. Meanwhile, regression testing has been used to support the software testing activities and assure acquiring appropriate quality through several versions of software. Regression testing, however, is too expensive because it requires lots of test cases executions and the number of test cases increases sharply as the software evolves. For this reason, several techniques are suggested to help conducting regression testing then test case prioritization technique is understood the most effective and efficient technique to support regression testing. In this paper, we propose an approach, Historical Value-Based Approach, which is based on the use of historical information to estimate the current cost and fault severity for cost-cognizant test case prioritization. As a result of the proposed approach, software testers who perform regression testing prioritize their test cases more effectively so that the test effectiveness of them can be improved in terms of APFDc.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.6
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• pp.435-439
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• 2009

Software used in safety-critical system must have high dependability. Software testing and V&V (Verification and Validation) activities are very important for assuring high software quality. If we can predict the risky modules of safety-critical software, we can focus testing activities and regulation activities more efficiently such as resource distribution. In this paper, we classified the estimated risk class which can be used for deep testing and V&V. We predicted the risk class for each module using support vector machines. We can consider that the modules classified to risk class 5 and 4 are more risky than others relatively. For all classification error rates, we expect that the results can be useful and practical for software testing, V&V, and activities for regulatory reviews.

• Journal of the Korea Society of Computer and Information
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• v.18 no.8
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• pp.105-111
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• 2013

This paper presents a virtual sensor system that is an effective method to test application software of smart sensors. The common way of testing sensor application is to build a test board, connect sensors to the board, and test sensor applications on the board with sensor's measurements as inputs. The problem of testing sensor application software with sensor's measurements as inputs is the restriction of test data. In other words, software testers cannot manipulate test data, because test data is generated by sensors. To solve this problem a virtual sensor system is presented in this paper. The virtual sensor system enables software testers to manipulate measurements of sensors. In the virtual sensor system, generation of virtual sensors comprises three stages - sensor selection, sensor characterization, and determination of output patterns. Sensor's measurements that can be manipulated through the virtual sensor system make the process of testing efficient. To show the usefulness of our virtual sensor system, it is applied to sensor applications in Android platform and the result of experiments is shown.