DocumentCode :
2430907
Title :
Organizing the technical debt landscape
Author :
Izurieta, Clemente ; Vetrò, Antonio ; Zazworka, Nico ; Cai, Yuanfang ; Seaman, Carolyn ; Shull, Forrest
Author_Institution :
Dept. of Comput. Sci., Montana State Univ., Bozeman, MT, USA
fYear :
2012
fDate :
5-5 June 2012
Firstpage :
23
Lastpage :
26
Abstract :
To date, several methods and tools for detecting source code and design anomalies have been developed. While each method focuses on identifying certain classes of source code anomalies that potentially relate to technical debt (TD), the overlaps and gaps among these classes and TD have not been rigorously demonstrated. We propose to construct a seminal technical debt landscape as a way to visualize and organize research on the subject.
Keywords :
object-oriented programming; classes; design anomalies; seminal technical debt landscape; source code anomalies; Conferences; Data mining; Maintenance engineering; Organizing; Software; Software engineering; USA Councils; Code Smells; Design Debt; Landscape; technical debt;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Managing Technical Debt (MTD), 2012 Third International Workshop on
Conference_Location :
Zurich
Print_ISBN :
978-1-4673-1748-1
Type :
conf
DOI :
10.1109/MTD.2012.6225995
Filename :
6225995
Link To Document :
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