Construction of Software Design and Programming Practice Course in Information and Communication Engineering

Innovation and entrepreneurship education is becoming one of the important goals of higher education in China.According to the requirements of the Ministry of Education to deepen the reform of innovation and entrepreneur-ship education in colleges and universities,we propose a core principle of“from basis to comprehensiveness,and then to innovation”to construct the software design and programming practice course in the information and communication engineering discipline.We have integrated specialized knowledge teaching with innovation and entrepreneurship training,implemented a series of experimental projects that integrate theory with practice,and explored mixed teaching methods and diversified examination methods.In this paper,details about software design and programming practice course construction are shown from aspects of teaching content,teaching methods,and examination methods.These course construction experiences will benefit teachers who engage in innovative practical courses in the information and communication engineering discipline.

Design and Implementation of a Photovoltaic Data Acquisition System for Some Meteorological Variables

In this paper we have developed a data logging and monitoring system, we validated the system by comparing the result from it with the existing one and found that the system performs slightly better than the existing work in the same area. This implies that the data logger and monitoring system is good and can be used to monitor solar energy variables even at the comfort of our homes. We fitted a model to the generated data and found that the meteorological variables considered accounted for 99.88% of the power output in the rainy seasons while 0.12% of the variation was not explained due to other factors. Solar panels inclined at an angle of 5° (Tilt) and facing South Pole perform optimally.

Software defect prevention based on human error theories

Software defect prevention is an important way to reduce the defect introduction rate.As the primary cause of software defects,human error can be the key to understanding and preventing software defects.This paper proposes a defect prevention approach based on human error mechanisms：DPe HE.The approach includes both knowledge and regulation training in human error prevention.Knowledge training provides programmers with explicit knowledge on why programmers commit errors,what kinds of errors tend to be committed under different circumstances,and how these errors can be prevented.Regulation training further helps programmers to promote the awareness and ability to prevent human errors through practice.The practice is facilitated by a problem solving checklist and a root cause identification checklist.This paper provides a systematic framework that integrates knowledge across disciplines,e.g.,cognitive science,software psychology and software engineering to defend against human errors in software development.Furthermore,we applied this approach in an international company at CMM Level 5 and a software development institution at CMM Level 1 in the Chinese Aviation Industry.The application cases show that the approach is feasible and effective in promoting developers＇ ability to prevent software defects,independent of process maturity levels.

A Methodology for Development of Software Composite-Metrics for Program Control-Flow Structure

This paper reports on a pioneer effort for the establishment of a software composite metric with key capability of distinguishing among different structures. As a part of this effort most of the previously proposed program control-flow complexity metrics are evaluated. It is observed that most of these metrics are inherently limited in distinguishing capability. However, the concept of composite metrics is potentially useful for the development of a practical metrics. This paper presents a methodology for the develop- ment of a practical composite metric using statistical techniques. The proposed metric differs from all previous metrics in 2 ways: (1) It is based on an overall structural analysis of a given program in deeper and broader context. It captures various structural measurements taken from all existing structural levels; (2) It unifies a set of 19 important structural metrics. The compositing model of these metrics is based on statistical techniques rather than on an arbitrary method. Experinces with the pro- posed metric clearly indicate that it distinguishes different structures better than the previous metrics.

Can Educational Robots Improve Student Creativity?A Meta-Analysis Based on 48 Experimental and Quasi-Experimental Studies

Cultivating innovative talent has become a primary path for China to develop science and technology and solve“bottleneck”technical problems.Catering to the trend of educational reform in the intelligent age,the use of robotics to enhance students’creativity shows richer practical value and contemporary significance.In this study,48 China and foreign experimental studies and 6,057 samples are coded using the meta-analysis method,and the findings are as follows:First,the overall effect of educational robots on students’creativity is 0.576,reaching a medium or above level of influence.Among them,the effect of promoting students’innovative,practical ability is the most obvious,and the degree of influence on the quality of innovative personality is average.Second,from the perspective of the academic stage,the effect of educational robots on the creativity of students in junior middle schools and primary schools is more obvious.Third,in terms of disciplines,robot courses impose the best effect on students’creativity.Fourth,among teaching themes,prototype creation has the most impact on students’creativity,and the level is above the intermediate level.Fifth,in terms of the choice of teaching methods,inquiry teaching can better stimulate students’creativity.Finally,compared with ordinary classrooms,the laboratory environment is more optimistic for developing students’creativity.Combined with field research,four practical suggestions are put forward.

The Modern Information Technologies and Visualization Methods for Analysis of Computer Simulation Results for Complex Plasma

In this paper we present a software package based on modern information technologies that allows rapid analysis and visualization of the properties of complex plasmas.The properties of plasma are simulated by two means.First of all,we have applied the molecular dynamics simulation method which numerically solves the equations of motions for plasma particles.Secondly,we calculate microscopic properties of plasma by using the Boltzmann equation with additional relations,initial and boundary conditions.

Using Virtual ATE Model to Migrate Test Programs

Because of high development costs of IC (Integrated Circuit) test programs,recycling ekisting test programs from one kind of ATE (Automatic Test Equip-ment) to another or generating directly from CAD simulation modules to ATEis more and more vauable. In this papert a new approach to migrating test pro-grams is presented. A virtual ATE model based on object-oriellted paradigm isdeveloped; it runs Test C++ (an intermediate test control language) programsand TeIF (Test Intermediate Format - an intermediate pattern), migrates testprograms among three kinds of ATE (Ando DIC8032, Schlumberger S15 andGenRad 1732) and gellerates test patterns from two kinds of CAD (Daisy andPanda) automatically.