• Jaspreet Bedi

In rapidly growing software industry and fast pace of changes, time and deadlines are playing pivotal role in the survival and success of organizations. The quick and dirty approach is very popular amongst the software practitioners. It includes copy and paste criteria at many situations like at lines, blocks or files level of code or may be used for the comments. It leads to technical debt which has to be paid later. It includes principle amount and the interest as well. This may be due to many reasons viz., lack of experience, issues, code smells etc. one of the major reasons of technical debt is using duplications. Study and analysis of this factor is ignored in the literature. The objective of this study is to develop a prediction model of duplication metrics for technical debt. To unveil effect of duplication metrics, SonarQube tool is used for finding technical debt and for calculating duplication metrics. Origin 6.0 tool is used to graphically analyse the data. MS Excel is also used to calculate the regression and correlation coefficient. The dataset taken for the purpose is open source version control system from github. It is proved through the study that as we increase duplication metrics in any form there is corresponding considerable change in the technical debt.

Technical debt (TD), Duplication Metrics, Do It Yourself (DIY).

"A Study On Relation Between Duplication Metrics And Technical Debt ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.592-598, June-2018, Available :http://www.jetir.org/papers/JETIR1806885.pdf

"A Study On Relation Between Duplication Metrics And Technical Debt ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp592-598, June-2018, Available at : http://www.jetir.org/papers/JETIR1806885.pdf