Information Processing Letters
Hybrid slicing: integrating dynamic information with static analysis
ACM Transactions on Software Engineering and Methodology (TOSEM)
An efficient relevant slicing method for debugging
ESEC/FSE-7 Proceedings of the 7th European software engineering conference held jointly with the 7th ACM SIGSOFT international symposium on Foundations of software engineering
Programmers use slices when debugging
Communications of the ACM
Incremental Regression Testing
ICSM '93 Proceedings of the Conference on Software Maintenance
ECOOP '01 Proceedings of the 15th European Conference on Object-Oriented Programming
Proceedings of the 25th International Conference on Software Engineering
ICSE '81 Proceedings of the 5th international conference on Software engineering
Program Slicing Tool for Effective Software Evolution Using Aspect-Oriented Technique
IWPSE '03 Proceedings of the 6th International Workshop on Principles of Software Evolution
Cost effective dynamic program slicing
Proceedings of the ACM SIGPLAN 2004 conference on Programming language design and implementation
Using Compressed Bytecode Traces for Slicing Java Programs
Proceedings of the 26th International Conference on Software Engineering
Java(TM) Language Specification, The (3rd Edition) (Java (Addison-Wesley))
Java(TM) Language Specification, The (3rd Edition) (Java (Addison-Wesley))
Slicing concurrent Java programs using Indus and Kaveri
International Journal on Software Tools for Technology Transfer (STTT)
Debugging reinvented: asking and answering why and why not questions about program behavior
Proceedings of the 30th international conference on Software engineering
A meta-aspect protocol for developing dynamic analyses
RV'10 Proceedings of the First international conference on Runtime verification
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Program slicing techniques like static, dynamic and hybrid slicing are considered to be an effective aid in the areas of program analysis and debugging. The performance parameters of these techniques such as precision and execution overhead determine their efficiency and applicability. In the context of debugging a few bugs, the existing dynamic and hybrid approaches tend to be expensive in terms of high runtime overhead while static slicing approaches fail to be precise. In this paper, we present a tool called JDAS to simplify the tedious task of debugging. The tool provides an intuitive way for the user to specify a bug and helps in efficient debugging by providing only the relevant information related to the bug being analyzed. We propose a lightweight approach for program analysis and debugging which is effective when the bugs to be analyzed are few. We make use of static slicing, which reduces the runtime cost and also helps in computing all the essential information including those which are not present in a dynamic slice as illustrated by the concept of relevant slicing. We harness the power of dynamic aspect oriented programming for effective tracing and thereby overcome the problem of imprecision in the slice result generated by static slicing. We introduce line number based pointcuts for efficient tracing.