Analyzing Program Dependencies in Java EE Applications

Analyzing Program Dependencies in Java EE Applications. Shatnawi, A., Mili, H., El Boussaidi, G., Boubaker, A., Gu�h�neuc, Y., Moha, N., Privat, J., & Abdellatif, M. In Tan, L. & Hindle, A., editors, Proceedings of the 14<sup>th</sup> International Conference on Mining Software Repositories (MSR), pages 64–74, May, 2017. ACM Press. 10 pages.

Paper abstract bibtex

Program dependency artifacts such as call graphs help support a number of software engineering tasks such as software mining, program understanding, debugging, feature location, software maintenance and evolution. Java Enterprise Edition (JEE) applications represent a significant part of the recent legacy applications, and we are interested in modernizing them. This modernization involves, among other things, analyzing dependencies between their various components/tiers. JEE applications tend to be multilanguage, rely on JEE container services, and make extensive use of late binding techniques-all of which makes finding such dependencies difficult. In this paper, we describe some of these difficulties and how we addressed them to build a dependency call graph. We developed our tool called DeJEE (Dependencies in JEE) as an Eclipse plug-in. We applied DeJEE on two open-source JEE applications: Java PetStore and JSP Blog. The results show that DeJEE is able to identify different types of JEE dependencies.

@INPROCEEDINGS{Shatnawi17-MSR-JEEDependencies,
   AUTHOR       = {Anas Shatnawi and Hafedh Mili and El Boussaidi, Ghizlane and 
      Anis Boubaker and Yann-Ga�l Gu�h�neuc and Naouel Moha and Jean Privat and 
      Manel Abdellatif},
   BOOKTITLE    = {Proceedings of the 14<sup>th</sup> International Conference on Mining Software Repositories (MSR)},
   TITLE        = {Analyzing Program Dependencies in Java EE Applications},
   YEAR         = {2017},
   OPTADDRESS   = {},
   OPTCROSSREF  = {},
   EDITOR       = {Lin Tan and Abram Hindle},
   MONTH        = {May},
   NOTE         = {10 pages.},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {64--74},
   PUBLISHER    = {ACM Press},
   OPTSERIES    = {},
   OPTVOLUME    = {},
   KEYWORDS     = {Topic: <b>Program comprehension</b>, Venue: <c>MSR</c>},
   URL          = {http://www.ptidej.net/publications/documents/MSR17c.doc.pdf},
   PDF          = {http://www.ptidej.net/publications/documents/MSR17c.ppt.pdf},
   ABSTRACT     = {Program dependency artifacts such as call graphs help 
      support a number of software engineering tasks such as software 
      mining, program understanding, debugging, feature location, software 
      maintenance and evolution. Java Enterprise Edition (JEE) applications 
      represent a significant part of the recent legacy applications, and 
      we are interested in modernizing them. This modernization involves, 
      among other things, analyzing dependencies between their various 
      components/tiers. JEE applications tend to be multilanguage, rely on 
      JEE container services, and make extensive use of late binding 
      techniques-all of which makes finding such dependencies difficult. In 
      this paper, we describe some of these difficulties and how we 
      addressed them to build a dependency call graph. We developed our 
      tool called DeJEE (Dependencies in JEE) as an Eclipse plug-in. We 
      applied DeJEE on two open-source JEE applications: Java PetStore and 
      JSP Blog. The results show that DeJEE is able to identify different 
      types of JEE dependencies.}
}

Downloads: 0