Title :
DepDigger: A Tool for Detecting Complex Low-Level Dependencies
Author :
Beyer, Dirk ; Fararooy, Ashgan
Author_Institution :
Simon Fraser Univ., Burnaby, BC, Canada
fDate :
June 30 2010-July 2 2010
Abstract :
We present a tool that identifies complex data-flow dependencies on code-level, based on the measure dep-degree. Low-level dependencies between program operations are modeled by the use-def graph, which is generated from reaching definitions of variables. The tool annotates program operations with their dep-degree values, such that ´difficult´ program operations are easy to locate. We hope that this tool helps detecting and preventing code degeneration, which is often a challenge in today´s software projects, due to the high refactoring and restructuring frequency.
Keywords :
data flow analysis; software tools; DepDigger tool; code degeneration prevention; code-level; complex data-flow dependencies; complex low-Level dependencies; dep-degree values; program operation annotation; software projects; use-def graph; Frequency measurement; Java; Lab-on-a-chip; Licenses; Optimizing compilers; Program processors; Software maintenance; Software measurement; Software tools; Tree graphs; Dependency Analysis; Program Understanding; Refactoring; Software Structure;
Conference_Titel :
Program Comprehension (ICPC), 2010 IEEE 18th International Conference on
Conference_Location :
Braga, Minho
Print_ISBN :
978-1-4244-7604-6
Electronic_ISBN :
1092-8138
DOI :
10.1109/ICPC.2010.52