• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.2
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• pp.297-308
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• 2007

The types of industrial software are classified into package, embedded and system type. The Package type software means industrial ERP, the embedded software is built in industrial devices and the system type software controls the manufacturing and production system, In this paper, we described about the development of evaluation modules which can implement quality test and evaluation fur industrial embedded software. If you are planning to enhance the objectivity and the validity of evaluation modules, it is necessary to construct the system based on international standard. There are two international standard, ISO/IEC 12119 and ISO/IEC 9126 related to quality evaluation of software. Also ISO/IEC 14598-6 is the standard that defines the construction form of the evaluation modules. Based on these standards, We extracted the quality requirements of industrial embedded software and constructed the evaluation modules that can evaluate the content level of the quality requirements.

• Journal of KIISE:Software and Applications
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• v.33 no.10
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• pp.836-850
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• 2006

Nowadays, due to the rapidly increasing number of package software products, quality test has been emphasized for package software products. When testing software products, one of the most important factors is to select metrics which form the bases for tests. In this paper, the types of package software are represented as characteristic vectors having probabilistic relationships with metrics. The characteristic vectors could be regarded as indicators of software type. To assign the metrics for each software type, the past test metrics are collected and analyzed. Using Bayesian belief network, the dependency relationship network of the characteristic vectors and metrics is constructed. The dependency relationship network is then used to find the proper metrics for the test of new package software products.

• Honam Mathematical Journal
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• v.23 no.1
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• pp.133-143
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• 2001

In this paper, we characterize some semi-invariant submanifolds of codimension 3 with almost contact metric structure (${\phi}$, ${\xi}$, g) satisfying 𝔏_ξ∇ = 0 in a nonflat complex space form, where ${\nabla}$ denotes the Riemannian connection induced on the submanifold, and 𝔏_ξ is the operator of the Lie derivative with respect to the structure vector field ${\xi}$.

• Journal of KIISE:Software and Applications
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• v.27 no.6
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• pp.595-606
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• 2000

Software metrics evaluate the development process, measure the software development effort, and control the software quality effectively. Moreover in a current status to emphasize reusability, it is necessary to study of cohesion and coupling that plays an important role in evaluating reusability. Object oriented methodology to use the concept like encapsulation, inheritance, and polymorphism demands metrics that are different from existing procedural methodology, so a study for object oriented metrics is in progress at the present time. In this paper, we propose cohesion and coupling metrics for object oriented program, evaluate the proposed metrics by using the complexity properties proposed by Weyuker and Briand, and extract cohesion and coupling from C++ code.

• Journal of Information Technology Services
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• v.11 no.1
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• pp.211-221
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• 2012

Many metric-based classification models have been proposed to predict fault-proneness of software module. This paper presents two prediction models using Bayesian classifier which is one of the most popular modern classification algorithms. Bayesian model based on Bayesian probability theory can be a promising technique for software quality prediction. This is due to the ability to represent uncertainty using probabilities and the ability to partly incorporate expert's knowledge into training data. The two models, Na$\ddot{i}$veBayes(NB) and Bayesian Belief Network(BBN), are constructed and dimensionality reduction of training data and test data are performed before model evaluation. Prediction accuracy of the model is evaluated using two prediction error measures, Type I error and Type II error, and compared with well-known prediction models, backpropagation neural network model and support vector machine model. The results show that the prediction performance of BBN model is slightly better than that of NB. For the data set with ambiguity, although the BBN model's prediction accuracy is not as good as the compared models, it achieves better performance than the compared models for the data set without ambiguity.

• The Journal of the Korea Contents Association
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• v.9 no.7
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• pp.110-120
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• 2009

Recently raising the recognition and it joins in about software quality evaluation and authentication and the recognition is augmented in about importance of the high quality security which leads a quality investment from the software development enterprise. The quality investor do to become accomplished but substantially from which degree level, quality investment it leads and the verification of software quality improvement does not become accomplished substantially and with without being it does and wants the enterprises where are clear the quality improvement which leads a quality investment does not set the direction where the problem occurs. From the research which it sees international ISO/IEC 9126 where it is standard and in about software test ISO/IEC 12119 where it is a guide it constructed the metric in base and software tentative instance it led and is accumulated and the defect data which it analyzed. result escape it investigated/to analyze quality level and it analyzed is weak from development process part and a defect level and the quality rating instance of Middleware] software and escape a disposal plan it investigated. The research which it sees it leads and it induces it is quantitative/that there is a possibility of being sufficient it sees the quality increase of Middleware software and the demand which is qualitative.

• Journal of KIISE
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• v.43 no.10
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• pp.1067-1072
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• 2016

Software birthmarks, which are unique characteristics of the software, are used to detect software plagiarism or software similarity. Generally, software birthmarks are divided into static birthmarks or dynamic birthmarks, which have evident pros and cons depending on the extraction method. In this paper, we propose a method for extracting the API sequence birthmarks using a dynamic analysis and similarity detection between the executable codes. Dynamic birthmarks based on API sequences extract API functions during the execution of programs. The extracted API sequences often include all the API functions called from the start to the end of the program. Meanwhile, our dynamic birthmark scheme extracts the API functions only called directly from the executable code. Then, it uses a sequence alignment algorithm to calculate the similarity metric effectively. We evaluate the birthmark with several open source software programs to verify its reliability and credibility. Our dynamic birthmark scheme based on the extracted API sequence can be utilized in a similarity test of executable codes.

• The KIPS Transactions:PartD
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• v.10D no.5
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• pp.781-792
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• 2003

We medical software is becoming important means to secure competitive power of medical service by explosive increase of medical device based on software, and the quality of medical service is affected to quality of medical software as well as medical devices. But domestic related study and development is not sufficient for quality of medical software, and a falling-off in medical software quality can induce a falling-off in quality of medical service. Therefore, it is necessary to raise qualitative level of medical service by progress and quality improvement of medical devices. Therefore, in this paper, we developed test module and qualify inspection table which can test medical software and produce result based on ISO/1EC 12119.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.5252-5259
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• 2011

Both Optimization and Reuse Technology are considered as core technologies handling the values of products in embedded software. Framework technology is a typical type of optimization and reuse technology. When we develop software based on framework, The effect of reusability as well as development productivity can be improved. However, currently the form of framework-based development is very poor in embedded software development. Furthermore, because framework development is also beginning stage in embedded software development, there are questions whether developing framework can bring reusability effect. In this paper, we propose metrics measuring reusability of framework which is designed for improving reusability of embedded software. As as result of applying proposed metrics into real design cases, we can obtain more effective results in framework-based design than existing design.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.6
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• pp.793-799
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• 2004

Many researches and validations for the complexity metrics of the object-oriented systems have been studied. Most of them are aimed for the measurement of the partial aspects of the systems, for example, the coupling between objects, the complexity of inheritance structures, the cohesion of methods, and so on. But the software practitioners want to measure the complexity of overall system, not partial. We studied the complexity of the overall structures of object-oriented systems by analyzing the class diagram of UML. The class diagram is composed of classes and their relations. There are three kinds of relations, association, generalization, and aggregation, which are making the structure of object-oriented systems to be difficult to understand. We proposed a heuristic metric to measure the complexity of object-oriented systems by putting together the three kinds of the relations. This metric will be helpful to the software developers for their designing tasks by evaluating the complexity of the structures of object-oriented system and redesigning tasks of the system.