Yongchang Ren

Software Configuration Management of Version Control Study Based on Baseline

Version control is the important functions of software configuration management, is responsible for all the elements in the configuration database automatically assigned version of the logo, and to ensure that version of the name of the uniqueness. This paper describes the definition of software configuration management, as well as the specific role of software development projects, pointed out that the introduction of baseline management in order to effectively control the version, and through graphics show the most common software project base line, and then focused on the version control study, through the graphics shows the versions evolution history and the components versions change process, studied the main elements of version control, including check in-check out control, branching and merging, history recording.

Fuzzy Decision Analysis of the Software Configuration Management Tools Selection

Configuration management tool play an important role in software project management, it can solve a lot of problems which trouble the software project managers, Configuration management tool selection involve in many factors, it is a multifactor, complex systems engineering problem. In this paper, use the method of fuzzy decision analysis to study. First, analysis the evaluation indicators of the configuration management tool, use the decision hierarchy diagram to analysis the function, performance, cost, service and other indicators, where after, study multi-objective fuzzy decision method, including constructing the factors index matrix, constructing the fuzzy matrix, and making decisions on programs, finally, use the configuration management tool to select the instance, explain the whole process of decision analysis methods. The results show that, fuzzy decision analysis method well solves the fuzzy and non-deterministic problem, in the configuration management tool selection, practical application should be using qualitative analysis and quantitative calculated combining method, flexibility to determine the evaluation index system and its weights value.

Attributes Knowledge Reduction and Evaluation Decision of Logistics Centre Location Based on Rough Sets

Reasonable choice of logistics center location, has important significance, for optimizing the regional industrial layout, and promoting the development of modern logistics industry. For the problems such as the logistics center location by many influence factors, the decision-making and evaluation of location program are complex, this paper use the rough sets method to study. first, analyze the influence factors of logistics center location, to build the influence factors index system, second, on the basis of properties importance formula which has been given, study the attributes knowledge acquisition algorithm, then study the decision model of program evaluation, including basic evaluating relationship model, fuzzy partial order model and mathematical formula which estimate the total order of evaluation objects, in the end, through logistics center location examples to illustrate the concrete steps of attributes knowledge acquisition and evaluation decision. The results show that, use the rough sets theory, conduct the evaluation decision after the attributes knowledge acquisition, this method is simple and applicable, and is the scientific method of logistics center location.

Function Point Analysis to knowledge representation of software size measurement

In Function Point Analysis through the technique of case-based reasoning(CBR), use the expert system to measure the software size, is the new method of software measurement, the knowledge representation is the basis of this new method. In this paper, firstly, analyze the role of the function point analysis in the software measurement; then describe the knowledge representation method of Production Rules in detail; finally, propose the data model of the function point analysis for software size measurement, to analyze the Technical complexity factors and their weights of the model, then carry out knowledge representation on function point analysis. The results show that, the knowledge representation used in this paper, can simulate the human thinking process of problem solving, has features as Naturalness, modularity, efficiency, clarity, etc, on the application of Function Point Analysis to measure the size having good reference value.

Research and practice on the cooperative concealing technology of Trojan horses

Trojan is a Trojan horse hiding technology, one of the key technologies, directly determine the viability of Trojan horses. This paper describes the current commonly used Trojan horse hiding technology, the traditional implementation method Trojan hidden lack of independence, according to concerted hidden thought, given the four threading model under Windows systems and their specific implementation method to explain the problems encountered in the implementation process and solution approach. In response to the four further threading model is just to restore the initial state of the shortcomings of the passive given extension model. Experiments show that the four threads together more independent thought hidden Trojan horse has a better prospect.

A method of fuzzy rule representation in expert system

Fuzzy rule representation is a core of the model expert system, through analysis of traditional knowledge representation implementation disadvantages of method, propose the combine a database and knowledge base integration, using a relational database to express fuzzy rules knowledge. First, knowledge base of rules designed to convert the method to the database and corresponding table structure, and then describe the fuzzy rules, study the cartesian product of fuzzy rules based on the relationship between representation. Finally, concrete example of fuzzy rule representation. Using this method, the advantage is that queries can be used in place of reasoning, improve the treatment efficiency.

Fuzzy Cluster Analysis of Regional City Multi-level Logistics Distribution Center Location Plan

Establish the cities multi-level logistics distribution center in the region to improve the flow efficiency and economic benefits, enhance regional competitiveness, promote the rational allocation of regional resources and effective use has an important role. This article use fuzzy clustering analysis method to study. First discusses the preparations of fuzzy clustering analysis. includes the construction of influence Factors indicator system, determine the factor weight set, quantify the value of level 2 indicators, calculate the value of level 1 indicators, etc. Then study the fuzzy clustering analysis method and steps, including data standardization, the establishment of fuzzy relations, fuzzy clustering, etc. Finally, through a specific location planning instance to illustrate the whole process of cluster analysis. The results show that, the method of fuzzy cluster analysis Provide a scientific method to the regional city multi-level logistics distribution center location plan, but in the practical application also needs integrated more factors to make a final decision.

Fuzzy rule representation and knowledge base construction in expert system

Fuzzy rule is the core of fuzzy expert system, which use relational database methods knowledge to build knowledge base, the combination of database and knowledge base is the development trend of the knowledge base. This paper describes the fuzzy rules first, including fuzzy logic, fuzzy production rules, multi-dimensional fuzzy rules; and studies the fuzzy rule representation, including the general rule representation and fuzzy rule representation; finally researches the construction of knowledge base, including the Knowledge Base System Structure and knowledge base table structure. The results show that the type knowledge of fuzzy rule reflects the relationship between the rules of deductive reasoning logical implication of the way to the database is a natural extension from the database to the knowledge base, which has some theoretical and practical value.

Notice of Retraction B to C E-Commerce Platform Software Development Cost and Schedule Estimation Method

The exactly software cost and progress estimates is the necessary method to ensure the development and application of e-commerce platform to operate, while in this article we take use of combining the Function Point Analysis and COCOMO II model to estimate. In the procedure of estimation, the first thing is to estimate the function points, which is according to the type and basis for classification, B to C e-commerce platform, functions of the complexity level and other factors point to estimate the unadjusted function points, the adjustment factor calculated by the adjusted function points; then based e-commerce platform development tool in the general level of the developers estimated development costs of labor productivity; and finally take the use of COCOMO II model to estimate the progress of the development.

Study of Using Critical Path Method to Formulate the Algorithm of Software Project Schedule Planning

Formulating the practical schedule planning for the software project, is the basis of orderly carrying out the software project, is the key of project to success. In this paper, study the application of using the critical path method and related technologies to formulate the computer program algorithm for the software project schedule planning. First of all, to clarify the basis preparations, including determine the project scope, definition activities, activity sequencing, activity duration estimation, etc, Secondly, to derive the critical path, including calculate the active time, determine the critical path, then study the Software algorithm, including database design and use the problem analysis diagram to show the core program algorithm, finally, using the program, which is written in accordance with the algorithm, to simulate project plan instance, and according to the simulate result, for the specific management. The results show that, using the computer software programs to achieve the critical path method and the related techniques to formulate the schedule, to reduce the workload of plan formulation, improve the accuracy of the plan, has the higher theoretical and practical value.