Software refactoring at the package level using clustering techniques
KAUST DepartmentComputer Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Permanent link to this recordhttp://hdl.handle.net/10754/594111
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AbstractEnhancing, modifying or adapting the software to new requirements increases the internal software complexity. Software with high level of internal complexity is difficult to maintain. Software refactoring reduces software complexity and hence decreases the maintenance effort. However, software refactoring becomes quite challenging task as the software evolves. The authors use clustering as a pattern recognition technique to assist in software refactoring activities at the package level. The approach presents a computer aided support for identifying ill-structured packages and provides suggestions for software designer to balance between intra-package cohesion and inter-package coupling. A comparative study is conducted applying three different clustering techniques on different software systems. In addition, the application of refactoring at the package level using an adaptive k-nearest neighbour (A-KNN) algorithm is introduced. The authors compared A-KNN technique with the other clustering techniques (viz. single linkage algorithm, complete linkage algorithm and weighted pair-group method using arithmetic averages). The new technique shows competitive performance with lower computational complexity. © 2011 The Institution of Engineering and Technology.
CitationOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"><html> <head> <title>Current Links for doi: 10.1049/iet-sen.2010.0070</title> <meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><link rel="stylesheet" rev="stylesheet" type="text/css" href="/docs/iPage/css/iet_body.css"> </head> <body bgcolor="#FFFFFF"> <table width="57%"> <tr> <td><a href="http://www.theiet.org"><img src="/docs/iPage/images/iet.gif" alt="Institution of Engineering and Technology" border="0" align="left"></a></td></tr> <tr> <td><br/></td> </tr> <tr> <td>The IET is a world leading professional organisation sharing and advancing knowledge to promote science, engineering and technology across the world. <br> <hr> </td> </tr> </table> <table width="57%"> <tr> <td><tr><td><b>Software refactoring at the package level using clustering techniques</b></td></tr><tr><td>Alkhalid,A. et al.</td></tr><tr><td><i>IET Software</i>(2011),5(3):274</td></tr><tr><td><a href='http://dx.doi.org/10.1049/iet-sen.2010.0070'>http://dx.doi.org/10.1049/iet-sen.2010.0070</td></tr></td> <tr> <tr><td><hr></td></tr> </table> <table width="57%"> <tr> <td colspan="2"> This article is available from multiple sources. <b>Please click on the logo</b> of the service to which you have a subscription, or click any logo to obtain pay-per-view access.<br><br></td> </tr> <tr> <td width="35%"><a href="http://digital-library.theiet.org/content/journals/10.1049/iet-sen.2010.0070"><img src="/docs/iPage/images/idl.gif" border="0" alt="IET Digital Library on Scitation"></a></td> <td width="65%"><br> Access the IET Digital Library<br><br></td> </tr> <tr> <td><br/><br/></td> </tr> <tr> <td><a href="http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5871781"><img src="/docs/iPage/images/iel.gif" border="0" alt="IEL on IEEE Xplore"></a></td> <td><br> Access the IEL (IEEE/IET Electronic Library) on IEEE Xplore®</a><br><br></td></td> </tr> </table> </body></html>
SponsorsThe authors acknowledge the support of King Fahd University of Petroleum and Minerals in the development of this work. We also thank Dr. Sajjad Mahmoud and Mr. Irfan Ahmed for providing their expert evaluation of the approach.