Comparative Study of Web application under Data Reverse Engineering

Data Most software systems for business and industry are information systems, that is, they maintain and process vast amounts of persistent business data. Reverse engineering having two techniques, Code reverse engineering and Data reverse engineering. While the main focus of Code reverse engineering is on improving human understanding about how this information is processed, data reverse engineering tackles the question of what information is stored and how this information can be used in a different context. The majority of documents on the Web are written in HTML, constituting a huge amount of legacy data: all documents are formatted for visual purposes only and with different styles due to diverse authorships and goals and this makes the process of retrieval and integration of Web contents difficult to automate. We provide a contribution to the solution of this problem by proposing a structured approach to data reverse engineering of data-intensive Web sites. This paper presents an insight on the aim of Data reverse summarizes effort focused on filtering the content of web pages by segmenting the page to smaller pieces and filtering the irrelevant ones. This research area in a very important part of wider effort in content extraction, not just for its benefits to search engines, but also for ability to transform the content e.g. for special devices.