Computing ripple effect for web applications. (c2007)

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dc.contributor.author Baba, Nabil
dc.date.accessioned 2011-10-20T07:45:59Z
dc.date.available 2011-10-20T07:45:59Z
dc.date.copyright 2007 en_US
dc.date.issued 2011-10-20
dc.date.submitted 2007-02-08
dc.identifier.uri http://hdl.handle.net/10725/827
dc.description Includes bibliographical references (leaves 110-113). en_US
dc.description.abstract The number of internet web applications is rapidly increasing in a variety of fields and not much work has been done for ensuring their quality, especially after modification. Modifying any part of a web application may affect other parts. If the stability of a web application is poor, then the impact of modification will be costly in terms of maintenance and testing. Ripple effect is a measure of the structural stability of source code upon changing a part of the code. It provides an assessment of how much a local modification in the web application may affect other parts. No previous work has been published on computing the ripple effect for web application. In this thesis, we propose, for the first time, a technique for computing ripple effect in web applications. This technique is based on direct-change impact analysis and dependence analysis for web applications developed in the .Net environment. Dependences include control dependences, data dependences, call dependences, semantic dependence, event-based dependences, functional dependences, and class dependences. Also, a complexity metric is proposed to be included in computing the ripple effect. A case study is used to show the applicability of our technique. en_US
dc.language.iso en en_US
dc.subject Web site development en_US
dc.subject Application software -- Development en_US
dc.subject Microsoft .NET Framework en_US
dc.subject Microsoft Visual BASIC en_US
dc.subject Internet programming en_US
dc.subject Active server pages en_US
dc.title Computing ripple effect for web applications. (c2007) en_US
dc.type Thesis en_US
dc.term.submitted Fall en_US
dc.author.degree MS in Computer Science en_US
dc.author.school Arts and Sciences en_US
dc.author.idnumber 199805850 en_US
dc.author.commembers Dr. Mohamad Ladan
dc.author.commembers Dr. Sanaa Sharafeddine
dc.author.woa OA en_US
dc.description.physdesc 1 bound copy: xi, 113 leaves; ill.; 30 cm. available at RNL. en_US
dc.author.division Computer Science en_US
dc.author.advisor Dr. Nasha'at Masnour
dc.identifier.doi https://doi.org/10.26756/th.2007.27 en_US
dc.publisher.institution Lebanese American University en_US

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