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  1. Proceedings of the Joint ERCIM Workshop on Software Evolution (EVOL) and International Workshop on Principles of Software Evolution (IWPSE) (IWPSE-EVOL '10)
  2. Do metrics help to identify refactoring?
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Software is data too: how should we deal with it?
Do metrics help to identify refactoring?
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Is duplicate code more frequently modified than non-duplicate code in software evolution?: an empirical study on open source software
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Do metrics help to identify refactoring?

Content Provider ACM Digital Library
Author Vasa, Rajesh Hoon, Leonard Schneider, Jean-Guy
Abstract Many iterative software development methodologies, such as for example eXtreme Programming, state that refactoring is one of the key activities to be undertaken in order to keep the code-base of a project well-structured and consistent. In such a context, poorly structured code may become a significant obstacle in adding new or in enhancing existing functionality. However, there is some anecdotal evidence that in many software projects, the underlying code-base is not necessarily refactored post-release, often due to time constraints or the misconception that refactoring does not add any apparent value. In order to get further insights into this problem area, we propose to investigate the usage frequency of refactorings in the context of open-source, object-oriented software systems. In this work, we will outline our approach to detecting refactoring and present results obtained from an initial pilot study.
Starting Page 3
Ending Page 7
Page Count 5
File Format PDF
ISBN 9781450301282
DOI 10.1145/1862372.1862377
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-09-20
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Metrics Evolution Refactoring Open source software
Content Type Text
Resource Type Article
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