Conference proceeding
Using technical debt data in decision making: Potential decision approaches
2012 Third International Workshop on Managing Technical Debt (MTD), pp 45-48
Jun 2012
Abstract
The management of technical debt ultimately requires decision making - about incurring, paying off, or deferring technical debt instances. This position paper discusses several existing approaches to complex decision making, and suggests that exploring their applicability to technical debt decision making would be a worthwhile subject for further research.
Metrics
12 Record Views
128 citations in Scopus
Details
- Title
- Using technical debt data in decision making: Potential decision approaches
- Creators
- C Seaman - Inf. Syst. Dept., UMBC, Baltimore, MD, USAYuepu Guo - Inf. Syst. Dept., UMBC, Baltimore, MD, USAClemente Izurieta - Dept. of Comput. Sci., Montana State Univ., Bozeman, MT, USAYuanfang Cai - Dept. of Comput. Sci., Drexel Univ., Philadelphia, PA, USANico Zazworka - Fraunhofer CESE, College Park, MD, USAForrest Shull - Fraunhofer CESE, College Park, MD, USAAntonio Vetro - Automatics & Inf. Dept., Politec. di Torino, Torino, ItalyYixin Guo - Mathematics
- Publication Details
- 2012 Third International Workshop on Managing Technical Debt (MTD), pp 45-48
- Conference
- 2012 3rd International Workshop on Managing Technical Debt (MTD), 3rd
- Publisher
- IEEE
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Mathematics
- Scopus ID
- 2-s2.0-84864136407
- Other Identifier
- 991019173429404721