Title :
Agent based tool for topologically sorting badsmells and refactoring by analyzing complexities in source code
Author :
AyshwaryaLakshmi, S. ; Mary, S. A. Sahaaya Arul ; Vadivu, S. Shanmuga
Author_Institution :
M.E(Comput. Sci.), Univ. Coll. of Eng., Panruti, India
Abstract :
Code smells are smells found in source code. As the source code becomes larger and larger we find bad smells in the source code. These bad smells are removed using Refactoring. Hence experts say the method of removing bad smells without changing the quality of code is called as Refactoring[1]. But this Refactoring if not done properly is risky, and can take time (i.e.) might be days or weeks. Hence here we provide a technique to arrange these Bad smells analyze the complexities found in the source code and then Refactor them. These Bad smell detection and scheduling has been done manually or semi automatically. This paper provides a method of automatically detecting theses Bad smells. This Automatic detection of Bad smells are done with the help of Java Agent DEvelopment.
Keywords :
Java; scheduling; software metrics; software quality; sorting; source code (software); Java agent development; automatic detection; bad smell detection; badsmells sorting; code smells; refactoring; scheduling; source code; Complexity theory; Educational institutions; Java; Redundancy; Software; Sorting; Refactoring; Scheduling Badsmells; Software Engineering;
Conference_Titel :
Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on
Conference_Location :
Tiruchengode
Print_ISBN :
978-1-4799-3925-1
DOI :
10.1109/ICCCNT.2013.6726851