The Research Of Nuclear Power Design Software's Anomaly Classification And Prevent Based On Orthogonal Defect Classification

Quality of software products with the exception of software is closely related to minimum density software anomalies on behalf of the software development process to better meet the quality requirements. Most software projects because the requirements definition, design and development process to introduce a variety of different types of exceptions, can not achieve the quality requirements of software engineering. Therefore, this article will focus on software development concern transferred to the exception itself, as an exception to the center for software development, prevention, control, and improvement. Not only the means test as a consequence of abnormal display, as long as the repair and elimination of anomalies, the entire testing process is terminated, but further classification and analysis of anomalies, thinking abnormal hidden behind the information.This paper focuses on the above are expanded from the process itself is an exception to the nuclear power project design software background, instantiate an unusual classification NPODC software-based design of nuclear power, proposed a NHPP software anomaly-based classification and growth model SACGM a software based on the first two exceptions prevention strategies and coping methods. details as follows:1)Abnormal classification NPODC nuclear power design software based on IBM proposed generalized orthogonal ODC defect classification based on the concept of nuclear power facilities instance types of projects in the field of software. The advantage of this instantiated classification property set mechanism is to use it to specify a particular domain, it can be very targeted to accumulate data from different levels of the nuclear power project design software. This helps to analyze the reasons for the exception occurred and adopt appropriate solutions.2)Abnormal growth model SACGM classification software will NPODC NHPP process with the combination of the collection and the cumulative number of abnormal findings. Whether by abnormal data collected throughout the project cycle analysis, which can be inferred that the development process in good condition, but also through the progress of growth model to compare two projects, thus providing an important basis for assessing the development of two projects.3) NPODC based software abnormality prevention strategies in nuclear power design software anomalies NPODC classification on the basis of the establishment of a feedback control loop anomaly prevention, so as to continuously screening effective preventive measures for quality improvement. Technical methods employed in this strategy is to build nuclear power system design software exception Knowledge NPAKD as an iterative basis using the abnormality cause analysis of quantitative and qualitative, knowledge base corresponding methods of prevention or abnormal introduce new preventive measures and by software anomalies classification growth model SACGM preventive measures introduced quantitative assessment, to exclude ineffective measures included effective measures to improve the current development process of the project, to improve the efficiency of software testing, thus achieving nuclear design software for quality improvement purposes through the prevention strategies.This article will NPODC classification, SACGM model and design software used in nuclear power project before both prevention and response strategies based approach. Comprehensive experimental results show that nuclear-based software design and application anomaly classification NPODC prevention strategies not only reduces the density anomaly software projects, reduce repair costs, but also through the specified cause analysis and corrective and preventive measures effective as possible in the life cycle the initial stages of abnormal or suppress these abnormalities occur again in the future, and ultimately improve software quality throughout the project.