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1. Using automated source code analysis for software evolution - Burd, Liz; Rank, Stephen
Software maintenance is one of the most expensive and time-consuming phases in the software life-cycle. The size and complexity of commercial applications probably present the greatest difficulty that maintainers face when making changes to their applications. As a result of the corresponding loss of understanding, business knowledge encapsulated within the system becomes fragmented, and any changes made as a result of new business initiatives become difficult to implement and hence may mean a loss of business opportunities. This paper outlines an approach to regaining understanding of software which has been used in the Release project at Durham University. This approach...
(application/pdf) - 19-jul-2011


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