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Author:Guo, Bofei
Title:Automated recognition of algorithms from source code
Publication type:Master's thesis
Publication year:2009
Pages:55      Language:   eng
Department/School:Tietotekniikan laitos
Main subject:Ohjelmistotekniikka   (T-106)
Supervisor:Malmi, Lauri
Instructor:
OEVS:
Electronic archive copy is available via Aalto Thesis Database.
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Location:P1 Ark Aalto     | Archive
Keywords:program comprehension
automated program comprehension
program understanding
cognition models
abstract concepts
graph parsing
roles of variables
SACR
plan
AST
similarity
Abstract (eng): Automated recognition of algorithms from source code plays more and more important role in software maintenanee, programming education and visualization programming.

The thesis first defines that automated recognition of algorithms is a process of discovering the design or the purpose behind a complex source code or even a system, by analyzing, abstracting information from source code and deductively applying ready known plan templates.
Then, it reviews five classical cognition models and three previous prototypes based on the cognition models.

The thesis also introduces the design and algorithms of an automated program recognizer named SACR, which implemented plan based abstract concepts recognition.
By presenting and analyzing the experimental data, the thesis shows that the plan based recognition of the abstract concepts is effective and accurate enough to recognize algorithms from source code automatically.
Finally, the thesis proposes several potential improvements for the future work.
ED:2009-07-15
INSSI record number: 38062
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