Hearing the Voice of Software Practitioners on Technical Debt Monitoring: Understanding Monitoring Practices and the Practices' Avoidance Reasons
| dc.contributor.author | Sávio Freire | |
| dc.contributor.author | Nicolli Rios | |
| dc.contributor.author | Boris Pérez | |
| dc.contributor.author | Camilo Castellanos | |
| dc.contributor.author | Darío Correal | |
| dc.contributor.author | Robert Ramač | |
| dc.contributor.author | Vladimir Mandić | |
| dc.contributor.author | Nebojša Taušan | |
| dc.contributor.author | Gustavo López | |
| dc.contributor.author | Alexia Pacheco | |
| dc.coverage.spatial | Bolivia | |
| dc.date.accessioned | 2026-03-22T15:18:54Z | |
| dc.date.available | 2026-03-22T15:18:54Z | |
| dc.date.issued | 2024 | |
| dc.description | Citaciones: 3 | |
| dc.description.abstract | Context. Technical debt (TD) monitoring allows software professionals to track the evolution of debt incurred in their projects. The technical literature has listed several practices used in the software industry to monitor indebtedness. However, there is limited evidence on the use and on the reasons to avoid using these practices. Aims. This work aims to investigate, from the point of view of software practitioners, the practices used for monitoring TD items, and the practice avoidance reasons (PARs) curbing the monitoring of TD items. Method. We analyze quantitatively and qualitatively a set of 653 answers collected with a family of industrial surveys distributed in six countries. Results. Practitioners are prone to monitor TD items, revealing 46 practices for monitoring the debt and 35 PARs for explaining TD non-monitoring. Both practices and PARs are strongly associated with planning and management issues. The study also shows the relationship found among practices, PARs and types of debt and presents a conceptual map that relates practices and PARs with their categories. Conclusion. The results of this study add to a practitioners’ capability to monitor TD items by revealing the monitoring practices, PARs and their relationship with different TD types. | |
| dc.identifier.doi | 10.5753/jserd.2024.4011 | |
| dc.identifier.uri | https://doi.org/10.5753/jserd.2024.4011 | |
| dc.identifier.uri | https://andeanlibrary.org/handle/123456789/51648 | |
| dc.language.iso | en | |
| dc.publisher | Springer Science+Business Media | |
| dc.relation.ispartof | Journal of Software Engineering Research and Development | |
| dc.source | Universidade Federal da Bahia | |
| dc.subject | Computer science | |
| dc.subject | Software | |
| dc.subject | Technical debt | |
| dc.subject | Speech recognition | |
| dc.subject | Computer security | |
| dc.title | Hearing the Voice of Software Practitioners on Technical Debt Monitoring: Understanding Monitoring Practices and the Practices' Avoidance Reasons | |
| dc.type | article |