Epm–rt–2011-01 Levenshtein Edit Distance-based Type Iii Clone Detection Using Metric Trees

نویسندگان

  • Thierry M. Lavoie
  • Ettore Merlo
  • Thierry Lavoie
چکیده

This paper presents an original technique for clone detection with metric trees using Levenshtein distance as the metric defined between two code fragments. This approach achieves a faster empirical performance. The resulting clones may be found with varying thresholds allowing type 3 clone detection. Experimental results of metric trees performance as well as clone detection statistics on an open source system are presented and give promising perspectives.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Distance Based Indexing for String Proximity Search

In many database applications involving string data, it is common to have near neighbor queries (asking for strings that are similar to a query string) or nearest neighbor queries (asking for strings that are most similar to a query string). The similarity between strings is defined in terms of a distance function determined by the application domain. The most popular string distance measures a...

متن کامل

Word Similarity Calculation by Using the Edit Distance Metrics with Consonant Normalization

Edit distance metrics are widely used for many applications such as string comparison and spelling error corrections. Hamming distance is a metric for two equal length strings and Damerau-Levenshtein distance is a well-known metrics for making spelling corrections through string-to-string comparison. Previous distance metrics seems to be appropriate for alphabetic languages like English and Eur...

متن کامل

Levenshtein Distances Fail to Identify Language Relationships Accurately

The Levenshtein distance is a simple distance metric derived from the number of edit operations needed to transform one string into another. This metric has received recent attention as a means of automatically classifying languages into genealogical subgroups. In this article I test the performance of the Levenshtein distance for classifying languages by subsampling three language subsets from...

متن کامل

Lexical similarity can distinguish between automatic and manual translations

We consider the problem of identifying automatic translations from manual translations of the same sentence. Using two different similarity metrics (BLEU and Levenshtein edit distance), we found out that automatic translations are closer to each other than they are to manual translations. We also use phylogenetic trees to provide a visual representation of the distances between pairs of individ...

متن کامل

A Dialect Distance Metric Based on String and Temporal Alignment

The Levenshtein distance is an established metric to represent phonological distances between dialects. So far, this metric has usually been applied on manually transcribed word lists. In this study we introduce several extensions of the Levenshtein distance by incorporating probabilistic edit costs as well as temporal alignment costs. We tested all variants for compliance with the axioms that ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011