Evolution of Technical Debt: An Exploratory Study

Context: Technical debt is known to impact maintainability of software. As source code files grow in size, maintainability becomes more challenging. Therefore, it is expected that the density of te ...

[1]  Raed Shatnawi,et al.  An empirical study of the bad smells and class error probability in the post-release object-oriented system evolution , 2007, J. Syst. Softw..

[2]  Aiko Fallas Yamashita,et al.  Do code smells reflect important maintainability aspects? , 2012, 2012 28th IEEE International Conference on Software Maintenance (ICSM).

[3]  Michael W. Godfrey,et al.  “Cloning considered harmful” considered harmful: patterns of cloning in software , 2008, Empirical Software Engineering.

[4]  Robert L. Nord,et al.  Technical Debt: From Metaphor to Theory and Practice , 2012, IEEE Software.

[5]  Barry W. Boehm,et al.  An Exploratory Study on the Influence of Developers in Technical Debt , 2018, 2018 IEEE/ACM International Conference on Technical Debt (TechDebt).

[6]  Raed Shatnawi,et al.  An Investigation of Bad Smells in Object-Oriented Design , 2006, Third International Conference on Information Technology: New Generations (ITNG'06).

[7]  Yuanfang Cai,et al.  A Case Study in Locating the Architectural Roots of Technical Debt , 2015, 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering.

[8]  Akito Monden,et al.  Software quality analysis by code clones in industrial legacy software , 2002, Proceedings Eighth IEEE Symposium on Software Metrics.

[9]  Paris Avgeriou,et al.  The Evolution of Technical Debt in the Apache Ecosystem , 2017, ECSA.

[10]  Miroslaw Staron,et al.  Improving Code Smell Predictions in Continuous Integration by Differentiating Organic from Cumulative Measures , 2019 .

[11]  Jörgen Hansson,et al.  Effects of measurements on correlations of software code metrics , 2019, Empirical Software Engineering.

[12]  Alexander Chatzigeorgiou,et al.  Investigating the evolution of code smells in object-oriented systems , 2014, Innovations in Systems and Software Engineering.

[13]  Christian Berger,et al.  Correlations of software code metrics: an empirical study , 2017, IWSM-Mensura.