A brief survey of program slicing
ACM SIGSOFT Software Engineering Notes
Regression test selection by exclusion using decomposition slicing
Proceedings of the doctoral symposium for ESEC/FSE on Doctoral symposium
Dependence clusters in source code
ACM Transactions on Programming Languages and Systems (TOPLAS)
Design and implementation of a language-complete C++ semantic graph
Proceedings of the 50th Annual Southeast Regional Conference
Hi-index | 0.00 |
In order to further understand and assess decompositionslicing we characterize and evaluate the size ofreductions obtained by computing equivalent decompositionslices from the perspective of the comprehender,maintainer, tester and researcher.The analysis wasperformed on 68 C language systems of sizes 100 to50,000 lines.All decomposition slices were computedand compared for simple equality.From this data, wewere able to determine with 95% confidence that thetrue mean percentage of equivalent decomposition slicesis between 50.0% and 60.3%, with a p-value