Abstract
Technical debt (TD) in a software system is a metaphor that tries to illustrate the remediation effort of the already introduced quality deficit and the impact thereof to the business value of the system. To address TD, various management activities are proposed, each addressing a particular purpose. Whereas the activities of debt identification and measurement are broadly considered in literature, the activities of debt prioritization and communication lack appropriate approaches with an economic perspective. This work proposes a TD prioritization approach. Therefore, it narrows down the focus of TD to design debt and relies on the quantification of design best practices. Further, the non-conformance of these practices is assessed by applying a benchmarking technique. As a result, the gained information is transferred into a portfolio-matrix to support the prioritization and communication of design remediation actions. The applicability and suitability of the approach are demonstrated by using the source code of the open source project GeoGebra.
| Original language | English |
|---|---|
| Title of host publication | International Conference on Technical Debt (TechDebt) 2018, Gothenburg, Sweden, May 27 - 28, 2018 |
| Pages | 95-104 |
| Number of pages | 10 |
| DOIs | |
| Publication status | Published - May 2018 |
Publication series
| Name | Assocation for Computing Machinery |
|---|
Fields of science
- 202005 Computer architecture
- 202017 Embedded systems
- 102 Computer Sciences
- 102002 Augmented reality
- 102006 Computer supported cooperative work (CSCW)
- 102011 Formal languages
- 102022 Software development
- 202022 Information technology
- 502032 Quality management
- 502050 Business informatics
JKU Focus areas
- Computation in Informatics and Mathematics
- Management and Innovation
Projects
- 1 Finished
-
Objected-Oriented Design Quality
Bräuer, J. (Researcher), Plösch, R. (PI) & Pomberger, G. (PI)
01.10.2013 → 30.09.2018
Project: Contract research › Industry project
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