It is well acknowledged that quality of software has a higher priority than the performance and functions of software. One of the ways to get high-quality software is to get more efficient software-testing techniques....It is well acknowledged that quality of software has a higher priority than the performance and functions of software. One of the ways to get high-quality software is to get more efficient software-testing techniques. Theory and technology of software quality assurance are an important part of software developing methodology and software engineering. Software testing plays a key role in software quality assurance. The purpose of the essay is to search for new software testing method and to solve some problems in testing of object-oriented program. We also try to amend some deficiency in the traditional test method for structured programs. By the idea of program slicing, we can disassemble the source code of a program into several slices following certain rules. Instead of testing the whole program, we can test these slices. We can also guarantee the equivalence of the two ways. Testing on the base of program slicing has several advantages than the one simply using data flow analysis and control flow analysis. The first, because a program equals to the union of its slices, to test all of the slices makes a complete test of the program, and to test each slice which is related to the interested variables is actually a complete test of the requirement test. Then we solve the problem of sufficiency in traditional structured program testing and object-oriented program testing as well. The second, program slicing technique can be applied to the testing of both structured programs and object-oriented ones.展开更多
RoboCup is a particularly good domain for studying multi-agent systems. A wide variety of MAS issues can be studied in robotic soccer, in which the theory, algorithm and architecture of agent system can be evaluated. ...RoboCup is a particularly good domain for studying multi-agent systems. A wide variety of MAS issues can be studied in robotic soccer, in which the theory, algorithm and architecture of agent system can be evaluated. Because of the inherent complexity of MAS, there are many interests in using machine learning techniques to handle it. This paper investigates and discusses the machine-learning techniques used in RoboCup. The background is firstly presented and the application of machine learning in RoboCup is lately demonstrated with some top simulation teams. The machine-learning system in NDSocTeam is also introduced. Finally some open issues in this field are pointed out.展开更多
文摘It is well acknowledged that quality of software has a higher priority than the performance and functions of software. One of the ways to get high-quality software is to get more efficient software-testing techniques. Theory and technology of software quality assurance are an important part of software developing methodology and software engineering. Software testing plays a key role in software quality assurance. The purpose of the essay is to search for new software testing method and to solve some problems in testing of object-oriented program. We also try to amend some deficiency in the traditional test method for structured programs. By the idea of program slicing, we can disassemble the source code of a program into several slices following certain rules. Instead of testing the whole program, we can test these slices. We can also guarantee the equivalence of the two ways. Testing on the base of program slicing has several advantages than the one simply using data flow analysis and control flow analysis. The first, because a program equals to the union of its slices, to test all of the slices makes a complete test of the program, and to test each slice which is related to the interested variables is actually a complete test of the requirement test. Then we solve the problem of sufficiency in traditional structured program testing and object-oriented program testing as well. The second, program slicing technique can be applied to the testing of both structured programs and object-oriented ones.
文摘RoboCup is a particularly good domain for studying multi-agent systems. A wide variety of MAS issues can be studied in robotic soccer, in which the theory, algorithm and architecture of agent system can be evaluated. Because of the inherent complexity of MAS, there are many interests in using machine learning techniques to handle it. This paper investigates and discusses the machine-learning techniques used in RoboCup. The background is firstly presented and the application of machine learning in RoboCup is lately demonstrated with some top simulation teams. The machine-learning system in NDSocTeam is also introduced. Finally some open issues in this field are pointed out.
