Owing to its relative simplicity and wide range of applications,static slices are specifically proposed for softwaremaintenance and programunderstanding. Unfortunately, inmany cases static slices are overly conservative and thereforetoo large to supply ...

A relevant consequence of the expansion of the web and e-commerce is the growth of the demand of new web sites and web applications. As a result, web sites and applications are usually developed without a formalized process, and web pages are directly coded in an incremental way, where new pages are obtained by duplicating existing ones. Duplicated web pages, having the same structure and just differing for the data they include, can be considered as clones. The identification of clones may reduce the effort devoted to test, maintain and evolve web sites and applications. Moreover, clone detection among different web sites aims to detect cases of possible plagiarism. In this paper we propose an approach. based on similarity metrics, to detect duplicated pages in web sites and applications, implemented with HTML language and ASP technology. The proposed approach has been assessed by analyzing several web sites and Web applications. The obtained results are reported in the paper with respect to some case studies.

This paper presents algorithms for isolating reusable functions in large monolithic programs. The functions to be isolated are specified in terms of either pre-conditions or binding conditions, and these are mapped onto predicates on program's variables. Code components whose execution is triggered and/or bound by these predicates are then isolated. Each component is a candidate to implement a reusable function. The algorithms exploit a representation of the subject program in the form of a program dependence graph. This work forms part of RE/sup 2/, a research project that addresses the wider issue of software reuse. RE/sup 2/ project aims to promote the reuse of software through the exploration of reverse engineering and re-engineering techniques to identify and extract reusable software components from existing systems.