Application Research on Data Mining Methods in Information Communication Mode of Software Development

Abstract

Smaller time loss and smoother information communication mode is the urgent pursuit of the software R&D enterprise. Information communication is difficult to control and manage and it needs more technical to support. Data mining is an intelligent way tried to analyze knowledge and laws which hidden in massive amounts of data. Data mining technology together with share repositories can improve the intelligent degree of information communication mode. In this paper, the framework of intelligent information communication mode which based on data mining technology and share repositories is advanced, and data mining model for information communication of software development is designed. In view of the extant single decision tree algorithm existence the characteristics that counting inefficient and its learning based on supervise, a new semisupervised learning algorithm three decision trees voting classification algorithm based on tri-training (TTVA) is proposed. This algorithm in training only requests a few labeled data, and can use massively unlabeled data repeatedly revision to the classifier. It has overcome the single decision tree algorithm shortcoming. Experiments on the real communicated data sets of software developmental item indicate that TTVA has the good identification and accuracy to the crux issues mining, and can apply to the decision analysis of the development and management of the software project. At the same time, TTVA can effectively exploit the massively unlabeled data to enhance the learning performance.Index Terms: Information communication mode of software development; data mining; share repositories; semi-supervised learning; Three decision trees voting classification algorithm based on Tri-training (TTVA) 71 Mode of Software Development information from outside their own activities belong to the scope of the information communication. Information communication data have some characteristics such as reconcilability, transitivity, can be transformative and can be stored and others, these characteristics create the conditions for the information collection and reuse and afford idea for the intelligent information communication mode to apply data mining technologies and sharing technologies.Data mining is the analysis of (often large) observational data sets from the database, data warehouse or other large repository incomplete, noisy, ambiguous, the practical application of random data to find unsuspected relationships and summarize the data that are both understandable and useful to the data owner. It is a means that data extraction, cleaning and transformation, analysis, and other treatment models, and automatically discovers the patterns and interesting knowledge hidden in large amounts of data, this helps us make decisions based on a wealth of data. Information communication mode of software development lies in how to collection, analysis, and mine out the hidden useful information in the various data from information communication between developers and the staff interaction with manag...