PDLogger generates complete multi-log statements for Java methods by combining block-aware LLM prompts, backward slicing, and refinement, outperforming prior single-log tools.
Program slicing techniques and its applications
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abstract
Program understanding is an important aspect in Software Maintenance and Reengineering. Understanding the program is related to execution behaviour and relationship of variable involved in the program. The task of finding all statements in a program that directly or indirectly influence the value for an occurrence of a variable gives the set of statements that can affect the value of a variable at some point in a program is called a program slice. Program slicing is a technique for extracting parts of computer programs by tracing the programs' control and data flow related to some data item. This technique is applicable in various areas such as debugging, program comprehension and understanding, program integration, cohesion measurement, re-engineering, maintenance, testing where it is useful to be able to focus on relevant parts of large programs. This paper focuses on the various slicing techniques (not limited to) like static slicing, quasi static slicing, dynamic slicing and conditional slicing. This paper also includes various methods in performing the slicing like forward slicing, backward slicing, syntactic slicing and semantic slicing. The slicing of a program is carried out using Java which is a object oriented programming language.
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PDLogger: Automated Logging Framework for Practical Software Development
PDLogger generates complete multi-log statements for Java methods by combining block-aware LLM prompts, backward slicing, and refinement, outperforming prior single-log tools.