Comparing Static Analysis and Code Smells as Defect Predictors: An Empirical Study

[1]  Sandro Morasca,et al.  An Empirical Study on the Persistence of SpotBugs Issues in Open-Source Software Evolution , 2020, QUATIC.

[2]  Amandeep Kaur,et al.  A Systematic Literature Review on Empirical Analysis of the Relationship Between Code Smells and Software Quality Attributes , 2019, Archives of Computational Methods in Engineering.

[3]  Gabriele Bavota,et al.  On the diffuseness and the impact on maintainability of code smells: a large scale empirical investigation , 2018, Empirical Software Engineering.

[4]  Yi Sun,et al.  Some Code Smells Have a Significant but Small Effect on Faults , 2014, TSEM.

[5]  Yuanfang Cai,et al.  Comparing four approaches for technical debt identification , 2014, Software Quality Journal.

[6]  A. Yamashita.  Assessing the capability of code smells to explain maintenance problems: an empirical study combining quantitative and qualitative data , 2014, Empirical Software Engineering.

[7]  Audris Mockus,et al.  Quantifying the Effect of Code Smells on Maintenance Effort , 2013, IEEE Transactions on Software Engineering.

[8]  Alexander Chatzigeorgiou,et al.  Identification of extract method refactoring opportunities for the decomposition of methods , 2011, J. Syst. Softw..

[9]  David Hovemeyer,et al.  Finding bugs is easy , 2004, SIGP.

[10]  Claes Wohlin,et al.  State‐of‐the‐art: software inspections after 25 years , 2002, Softw. Test. Verification Reliab..

[11]  A. Frank Ackerman,et al.  Software inspections: an effective verification process , 1989, IEEE Software.

[12]  Michael E. Fagan.  Design and Code Inspections to Reduce Errors in Program Development , 1976, IBM Syst. J..

[13]  Lech Madeyski,et al.  Software Defect Prediction Using Bad Code Smells: A Systematic Literature Review , 2020, Data-Centric Business and Applications.

[14]  Premkumar T. Devanbu,et al.  To what extent could we detect field defects? An extended empirical study of false negatives in static bug-finding tools , 2014, Automated Software Engineering.

[15]  Yann-Gaël Guéhéneuc,et al.  DECOR: A Method for the Specification and Detection of Code and Design Smells , 2010, IEEE Transactions on Software Engineering.