Title :
Identifying high-level dependence structures using slice-based dependence analysis
Author_Institution :
Dept. of Comput. Sci., CREST, London, UK
Abstract :
This thesis presented a framework of the possible combination of approaches for low-level program slicing-based-dependence analysis and high-level concept assignment. Three combination techniques, concept extension, concept abbreviation and concept refinement, are presented and empirical studied to address the problem of program maintenance. The ten C subject programs are studied and more than 600 concept bindings are identified. Dependence based metrics are defined to evaluate three techniques that provides evidence of both advantages and disadvantages.
Keywords :
C language; software maintenance; software metrics; C subject programs; Dependence based metrics; concept abbreviation technique; concept extension technique; concept refinement technique; high-level concept assignment; program maintenance; slice-based dependence analysis; Computer science; Costs; Data analysis; Educational institutions; Pattern analysis; Pattern recognition; Proposals; Scalability; Software maintenance; Testing; Concept Assignment; Dependence Analysis; Slicing;
Conference_Titel :
Software Maintenance, 2009. ICSM 2009. IEEE International Conference on
Conference_Location :
Edmonton, AB
Print_ISBN :
978-1-4244-4897-5
Electronic_ISBN :
1063-6773
DOI :
10.1109/ICSM.2009.5306275