• The KIPS Transactions:PartD
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• v.8D no.6
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• pp.699-704
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• 2001

Developing a component-based software requires verified and standardized software components. This paper presents a component quality management (CQM) process. The process was developed and applied to the government-sponsored trial projects that developed software components. The process is composed of four phases：quality specification, quality planning, quality control, and quality evaluation. With this process, we can establish quality goals and focus our efforts on the activities to achieve the goals. A component quality model is also suggested to transform the implicit quality requirements into the measurable quality goals and to be used for the basis when we evaluate the quality of software components against the quality goals.

• The KIPS Transactions:PartD
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• v.10D no.6
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• pp.983-990
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• 2003

Developing a component-bassed software requires verified and standardized software components. This paper presents and approach to build conponent quality assurance process based on process patterns. To describe process patterns, a metamodel is suggested and several process for software components. The process pattern approach was applied to real projects and its advantages and disadvantages are discussed.

• Journal of Internet Computing and Services
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• v.4 no.1
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• pp.39-52
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• 2003

As software is developed for many applications and software defects have caused serious problem sin those applications, the concern of software quality evaluation increases rapidly. Although there has been many efforts for establishing standards for software evaluation, such as ISO/IEC 9126, they provide only a framework for defining quality characteristics and evaluation process. They, however, do not provide practical guidances for deriving resonable weight value criteria for software evaluation. This paper presents a method to draw quantitative weight values from evaluator's subjective data in the process of software evaluation as observing the ISO/IEC 9126 standard. To eliminate the evaluators' subjectiveness and the uncertainty of weight value during evaluation, the Dempster-Shafer (D-S) theory is adopted and utilized. In this paper, the D-S theory is supplemented with an improved merge rule to reduce the bias of weight value when they are merged with other evaluator's weight value. The proposed merge rule has been tested and proved with actual evaluation data.