Compression techniques to simplify the analysis of large execution traces

Proceedings - IEEE Workshop on Program Comprehension

Volumn 2002-January, Issue , 2002, Pages 159-168

  Hamou Lhadj, A ^a   Lethbridge, T C ^a  

^a UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Data compression; Data mining; Gain measurement; Instruments; Performance analysis; Reverse engineering; Software engineering; Software maintenance; Software performance; Software systems

Indexed keywords

COMPUTER PROGRAMMING; COMPUTER SOFTWARE; COMPUTER SOFTWARE MAINTENANCE; DATA MINING; GAIN MEASUREMENT; INSTRUMENTS; REVERSE ENGINEERING; SOFTWARE ENGINEERING;

COMPRESSION TECHNIQUES; DYNAMIC INFORMATION; EXECUTION TRACE; MAINTENANCE ACTIVITY; PERFORMANCE ANALYSIS; SOFTWARE PERFORMANCE; SOFTWARE SYSTEMS;

DATA COMPRESSION;

EID: 74549219900     PISSN: 10928138     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WPC.2002.1021337     Document Type: Conference Paper

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