Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Chapter

Download BibTeX

Title

Investigating the impact of code smells on system's quality: an empirical study on systems of different Application Domains

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | [ P ] employee

Year of publication

2013

Chapter type

paper

Publication language

english

Keywords
EN
  • software maintenance
  • software evolution
  • code smell detection
  • metric and smell correlations
  • domain-dependent analysis
Abstract

EN There are various activities that support software maintenance. Program comprehension and detection of design anomalies and their symptoms, like code smells and anti patterns, are particularly relevant for improving the quality and facilitating evolution of a system. In this paper we describe an empirical study on the detection of code smells, aiming at identifying the most frequent smells in systems of different domains and hence the domains characterized by more smells. Moreover, we study possible correlations existing among smells and the values of a set of software quality metrics using Spearman's rank correlation and Principal Component Analysis.

Pages (from - to)

260 - 269

DOI

10.1109/ICSM.2013.37

URL

https://ieeexplore.ieee.org/document/6676897

Book

2013 29th IEEE International Conference on Software Maintenance (ICSM), Eindhoven, 22-28 Sept., 2013

Presented on

29th IEEE International Conference on Software Maintenance (ICSM), 22-28.09.2013, Eindhoven, Netherlands

Publication indexed in

WoS (15)

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.