Interprocedural slicing using dependence graphs
ACM Transactions on Programming Languages and Systems (TOPLAS)
Automated support for legacy code understanding
Communications of the ACM
Slicing object-oriented software
Proceedings of the 18th international conference on Software engineering
Automated program flaw finding using simulated annealing
Proceedings of the 1998 ACM SIGSOFT international symposium on Software testing and analysis
Generating Software Test Data by Evolution
IEEE Transactions on Software Engineering
Understanding Function Behaviors through Program Slicing
WPC '96 Proceedings of the 4th International Workshop on Program Comprehension (WPC '96)
An Empirical Study of Amorphous Slicing as a Program Comprehension Support Tool
IWPC '00 Proceedings of the 8th International Workshop on Program Comprehension
Program Slicing in Understanding of Large Programs
IWPC '98 Proceedings of the 6th International Workshop on Program Comprehension
A Survey of Program Slicing Techniques.
A Survey of Program Slicing Techniques.
Analysis and Visualization of Predicate Dependence on Formal Parameters and Global Variables
IEEE Transactions on Software Engineering
Slicing obfuscations: design, correctness, and evaluation
Proceedings of the 2007 ACM workshop on Digital Rights Management
Predicting defects using network analysis on dependency graphs
Proceedings of the 30th international conference on Software engineering
Assessing the impact of global variables on program dependence and dependence clusters
Journal of Systems and Software
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Many source code analyses are closely related to and strongly influenced by interdependence among program components. This paper reports results from an empirical study of the interdependences involving program predicates and the formal parameters and global variables which potentially affect them.The findings show that it is possible to eliminate from consideration approximately 30% of the formal parameters, 50% of the 'touched' global variables, and 97% of the 'visible' global variables.Another important and encouraging finding is a strong inverse correlation between the number of formal parameters and dependence level. The fact that no such correlation was found for global variables provides evidence to support the conjecture that global variables are harmful.