TY  - JOUR
T1  - Detecting Shotgun Surgery Bad Smell Using Similarity Measure Distribution Model
AU - Vimala, S. AU - Kannan, A. AU - Nehemiah, H. Khanna AU - Saranya, G. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 17
SP  - 3205
EP  - 3216
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.3205.3216
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.3205.3216
KW  - sturge’s rule
KW  -distribution model
KW  -similarity measure
KW  -bad smell detection
KW  -Software maintenance
KW  -frequency histogram
AB  - Bad smells are the symptoms of code decay which leads to the severe maintenance problem. Shotgun
surgery is a smell where a change in a class may cause many small changes to other different classes. There
are several approaches that identify bad smells based upon the definition of rules and change history
information. These rules are the combination of software metrics and threshold values which sometimes not
able to detect the code decay such as shotgun surgery. Since, it is difficult to find the best threshold value for
rule based detection and also finding the best combination of metrics from the historical information seems to
be difficult. To detect the shotgun surgery, the co-change should be feasible. In that case, the need for having
sufficient history of observable co-changes, without which the approach of change history is not possible.
Therefore, these techniques cannot report the accurate instance of smells to detect the shotgun surgery bad
smell. So as an alternate, in this study, a framework similarity measure distribution modelfor detecting shotgun
surgery bad smell for object oriented program without the need for change history information is proposed. The
framework is experimented on HSQLDB, TYRANT, XERCES-J and JFREE CHART open source software. To
enable the detection of Shotgun surgery certain class files of the software under experimentation are modified.
The results obtained through this framework are compared with the results obtained from the bad smell
detection tools namely, inFusion and iPlasma in terms of precision and recall.From the results it is inferred that
the shotgun surgery can be detected more accurately using this proposed approach.The proposed framework
improves the maintainability by detecting the bad smell shotgun surgery.
ER  -