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  1. Scientific Workshop Proceedings of the XP2015 (XP '15 workshops)
  2. Including structural factors into the metrics-based code smells detection
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Agile portfolio management at finnish broadcasting company Yle
Re-conceptualizing requirements engineering: findings from a large-scale, agile project
On experimenting refactoring tools to remove code smells
Lean startup: why large software companies should care
'Desperately' seeking research on agile requirements in the context of large-scale agile projects
Mutation testing as a safety net for test code refactoring
Towards continuous validation of customer value
A reflection on agile requirements engineering: solutions brought and challenges posed
An exploration of the 'introduce explaining variable' refactoring
The evolution of knowledge in the refactoring research field
Including structural factors into the metrics-based code smells detection

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Including structural factors into the metrics-based code smells detection

Content Provider ACM Digital Library
Author Fontana, Francesca Arcelli Matuszyk, Błażej Walter, Bartosz
Abstract Code smells help to discover and describe deeper problems in software design. Several automated methods of smell detection are based the analysis of a combination of code-related metrics relevant for a given flaw. However, some smells reflect more complex issues and require a holistic perspective that woudl cover a number of different sources of data. In this paper we experimentally verify the usefulness of including structural factors into a metrics-based detection of God Class and Brain Class code smells.
Starting Page 1
Ending Page 5
Page Count 5
File Format PDF
ISBN 9781450334099
DOI 10.1145/2764979.2764990
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-05-25
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Code smell detection Detection strategies
Content Type Text
Resource Type Article
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