Title :
Automatic Generation of Detection Algorithms for Design Defects
Author :
Moha, Naouel ; Guéhéneuc, Yann-Gaël ; Leduc, Pierre
Author_Institution :
Dept. of Informatics & Operations Res., Montreal Univ., Que.
Abstract :
Maintenance is recognised as the most difficult and expansive activity of the software development process. Numerous techniques and processes have been proposed to ease the maintenance of software. In particular, several authors published design defects formalising "bad" solutions to recurring design problems (e.g., anti-patterns, code smells). We propose a language and a framework to express design defects synthetically and to generate detection algorithms automatically. We show that this language is sufficient to describe some design defects and to generate detection algorithms, which have a good precision. We validate the generated algorithms on several programs
Keywords :
formal specification; program debugging; program diagnostics; software maintenance; antipatterns; code smells; detection algorithm; software design defects; software development; software maintenance; Algorithm design and analysis; Books; Debugging; Design methodology; Detection algorithms; Informatics; Operations research; Programming; Software maintenance; Software quality;
Conference_Titel :
Automated Software Engineering, 2006. ASE '06. 21st IEEE/ACM International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7695-2579-2
DOI :
10.1109/ASE.2006.22