• Journal of Software Assessment and Valuation
• /
• v.16 no.2
• /
• pp.69-76
• /
• 2020

In this paper, the problem of determining the optimal time to market of software was studied using error correction time, an indicator of error correction difficulty. In particular, it was intended to modify the assumption that error detection time and correction time are independent in the software reliability growth model considering the existing error correction time, and to establish a general framework model that expresses the correlation between error detection time and correction time to determine when the software will be released. The results showed that it was important from an economic perspective to detect errors that took time to correct early in the test. It was concluded that it was very important to analyze the correlation between error detection time and error correction time in determining when to release the optimal software.

• The Transactions of the Korea Information Processing Society
• /
• v.3 no.2
• /
• pp.231-241
• /
• 1996

The reliability in software has expand in quality and quantity, also its importance and role are increased. But, a study of software reliability is lack of development. this paper software reliability growth models(SRGM) described by NonHome-geneous Poisson(NHPP)processes. Using actual software error data observed by software testing the SRGM's are composition of error-class, and error-class by three class. this paper made the reliability-model of software using three error- class. The purpose of this study to increase software productivity and to improve software quality. So to achive these goals we focused a study of software reliability model using the error-class.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.9 no.1
• /
• pp.114-119
• /
• 2016

The necessity of IoT(Internet of Things) and Multimedia CSCW is described, and error control for multimedia CSCW(Computer Supported Cooperated Works) based on CoAP stack is suggested. This paper describes an error synchronization running on gateway software stack based CoAP. This system consists of an CS_EDA, and CS_ESA. CS_EDA is an agent that detects an error for multimedia distance system based on gateway software stack based CoAP environment. CS_ESA is an agent that is an error synchronization system for multimedia distance control based on gateway software stack based CoAP environment. From the perspective of multimedia collaborative environment of gateway software stack based CoAP, an error application becomes another interactive presentation error is synchronized with participants engaged in a cooperative work.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.8 no.1
• /
• pp.12-17
• /
• 2015

This paper describes an error synchronization running on IP-USN gateway software stack for transportation safety service. This system consists of an TS_EDA, and TS_ESA. TS_EDA is an agent that detects an error for multimedia distance system based on IP-USN gateway software stack environment. TS_ESA is an agent that is an error synchronization system for multimedia distance control based on IP-USN gateway software stack environment. From the perspective of multimedia collaborative environment of IP-USN gateway software stack for transportation safety service, an error application becomes another interactive presentation error is synchronized with participants engaged in a cooperative work.

• Proceedings of the ESK Conference
• /
• 1992.10a
• /
• pp.84-89
• /
• 1992

This study is to develop a cognitive paradigm including a new model of common cause human behavior error domain and to analyze their causal factors and their properties of common cause huamn error characteristics in software engineering.l A laboratory study was performed to analyze the common causes of human behavior domain error in software develoment and to indentify software design factors contributing to the common cause effects in common cause failure redundancy. The results and analytical paradigm developed in this resuarch can be applied to reliability improvement and cost reduction in software development for many applications. Results are also expected to provide training guideliness for software engineers and for more effective design of ultra-high reliabile software packages.

• Proceedings of the Safety Management and Science Conference
• /
• 2011.04a
• /
• pp.451-459
• /
• 2011

In this paper, a software release model is presented to determine the optimum testing time with consideration of software error type. The software errors are classified into two types, major and minor errors. The software testing is continued until the Nth major error is discovered and corrected. The total cost needed before and after testing time is modeled under nonhomogeneous Poisson error correction model. Numerical examples are presented to demonstrate the results.

• Journal of the Korean Society for Precision Engineering
• /
• v.11 no.4
• /
• pp.158-164
• /
• 1994

A volumetric error compensation method was stueide with measuring systematic error of a Coordinate Measuring Machine(CMM). The volumetric error equations were proposed for a Moving Bridge type CMM. Using the error equations, error vectors in the measuring volume were corrected by a software method. The CMM was controlled by the compensation program separately in the measuring and moving function of the CMM proving. The linear accuracy of the CMM was measured by the Laser Interferometer and compared with the data before the volumetric error compensation. This method was proved as low cost and effective to reduce the systematic error of the CMM, as no hardware modification is required.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.7 no.2
• /
• pp.1-8
• /
• 2011

In this study, software products developed in the course of testing, software managers in the process of testing software test and test tools for effective learning effects perspective has been studied using the NHPP software. The finite failure non-homogeneous Poisson process models presented and the life distribution applied extreme distribution which used to find the minimum (or the maximum) of a number of samples of various distributions. 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 automatic error that is generally efficient model could be confirmed. This paper, a numerical example of applying using time between failures and parameter estimation using maximum likelihood estimation method, after the efficiency of the data through trend analysis model selection were efficient using the mean square error.

• Journal of the Ergonomics Society of Korea
• /
• v.11 no.2
• /
• pp.35-45
• /
• 1992

This study is to define a congitive paradigm including a new model of common cause human behavior error domain and to analyze their causal factors and their properties of common cause human error characteristics in software engineering. A laboratory study was performed to analyze the common causes of human behavior domain error in software development and to identify software design factors contributing to the common cause effects in common cause failure redundancy. The results and analytical paradigm developed in this research can be applied to reliabbility improvement and cost reduction in software development for many applications. Results are also expected to provide training guidelines for software engineers and for more effective design of ultra-high reliable software packages.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.15 no.25
• /
• pp.53-62
• /
• 1992

Computer software users develop and utilize their application software by themselves since Processing methods are different by quantity and qualify of the information The developed model needs input data and error numbers generated during the testing phases. However. total error numbers of the existing model and each error time was needed as data for developing the new model. But, maximum likelihood estimation must be used to exponential model of binomial-type and estimating of parameters by using the searched data. Parameter estimation can be done with trial and error or simulation.