Survey of Program Slicing for Software Engineering
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چکیده
منابع مشابه
Using Program Slicing Technique to Reduce the Cost of Software Testing
Systems of computers and their application in the lives of modern human beings are vastly expanding. In any kind of computer application, failure in computer systems can lead to a range of financial and mortal losses. Indeed, the major origin of software failure can be located in designing or implementing software. With regard to these statistics, 30% of the software projects have been prospero...
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Program slicing is a promising technique for providing automated support for various important software engineering activities. There exists hundreds of scientific studies on the theory of slicing. However, slicing is still not widely applied in software industry. Therefore, there is a need to survey and characterize the conducted research and to analyze what problems hinder progress. This pape...
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Program slicing has been developed as a standard technique used in various software engineering activit ies including program understanding, testing, debugging, maintenance, and complexity measurement. Although both static and dynamic slicing of sequential programs have been applied to software engineering practices, there still are some challenges, problems and issues in slicing concurrent pro...
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Program slicing is the task of finding all statements in a program that directly or indirectly influence the value of a variable occurrence. The set of statements that can affect the value of a variable at some point in a program is called a program slice. In several software engineering applications, such as program debugging and measuring program cohesion and parallelism, several slices are c...
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Program slicing is a viable method to restrict the focus of a task to specific sub-components of a program. Examples of applications include debugging, testing, program comprehension, restructuring, downsizing, and parallelization. This paper discusses different statement deletion based slicing methods, together with algorithms and applications to software engineering.
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تاریخ انتشار 1993