Abstract
The variety of code smells deserves a numerous set of detectors capable of sensing them. There exist several sources of data that may be examined: code metrics, existence of particular elements in an abstract syntax tree, specific code behavior or subsequent changes in the code. Another factor that can be used for this purpose is the knowledge of other, already detected or rejected smells. In the paper we define and analyze different relations that exist among smells and provide tips how they could be exploited to alleviate detection of other smells.
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References
Pearse, T., Oman, P.: Maintainability Measurements on Industrial Source Code Maintenance Activities. In: Proceedings of International Conference of Software Maintenance, Opio (France), pp. 295–303 (1995)
Beck, K.: Extreme Programming Explained. Embrace Change. Addison-Wesley, Reading (2000)
Fowler, M.: Refactoring. Improving Design of Existing Code. Addison-Wesley, Reading (1999)
Walter, B., Pietrzak, B.: Multi-criteria Detection of Bad Smells in the Code. In: Baumeister, H., Marchesi, M., Holcombe, M. (eds.) XP 2005. LNCS, vol. 3556, pp. 154–161. Springer, Heidelberg (2005)
The Apache Jakarta Project: Tomcat 5.5.4 (January 2005), http://jakarta.apache.org/tomcat/index.html
Chidamber, S.R., Kemerer, C.F.: A Metrics Suite from Object-Oriented Design. IEEE Transactions on Software Engineering 20(6), 476–493 (1994)
Marinescu, R.: Using Object-oriented metrics for Automatic Design Flaws Detection in Large Scale Systems. In: Demeyer, S., Bosch, J. (eds.) ECOOP 1998 Workshops. LNCS, vol. 1543, pp. 252–255. Springer, Heidelberg (1998)
Gamma, E., Helm, R., Johnson, R., Vlissides, J.: Design Patterns. Elements of Reusable Object-Oriented Software. Addison-Wesley, Reading (1995)
Tomcat Defect Metric Report (visited in April 2005), http://www.reasoning.com/pdf/Tomcat_Metric_Report.pdf
NASA Software Assurance Technology Center: SATC Historical Metrics Database (January 2005), http://satc.gsfc.nasa.gov/metrics/codemetrics/oo/java/index.html
Pietrzak, B., Walter, B.: Exploring Bad Code Smells Dependencies. In: Zielinski, K., Szmuc, T. (eds.) Software Engineering: Evolution and Emerging Technologies. Frontiers in Artificial Intelligence and Applications, vol. 130, pp. 353–364
Łukasiewicz, J.: Die logischen Grundlagen der Wahrscheinilchkeitsrechnung. Kraków, 1913. In: Borkowski, L., Łukasiewicz, J. (eds.) Selected Works. North Holland Publishing Company, Amsterdam, London, Polish Scientific Publishers, Warsaw (1970)
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Pietrzak, B., Walter, B. (2006). Leveraging Code Smell Detection with Inter-smell Relations. In: Abrahamsson, P., Marchesi, M., Succi, G. (eds) Extreme Programming and Agile Processes in Software Engineering. XP 2006. Lecture Notes in Computer Science, vol 4044. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11774129_8
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DOI: https://doi.org/10.1007/11774129_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35094-1
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