Categorization of Technical Debt in Software as a Service Applications

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Date

2023-12-01

Author

Özcan Top, Özden
KURANEL, YASEMİN
Koçyiğit, Altan

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Technical debt (TD) refers to the outcomes of making poor decisions or choosing simpler solutions generally for the sake of faster code delivery in software development projects. Eventually, TD is repaid and usually the long-term costs overweigh the short-term benefits. Therefore, proper identification and management of technical debt is crucial in any software development effort. Although the technical debt concept in the software domain has been extensively studied in the literature, there is a limited understanding of the indicators of TD in Software as a Service (SaaS) applications. Hence, this study investigates the indicators and major categories in organizations that provide support for SaaS applications to their customers. To this end, an exploratory case study has been conducted in a SaaS development vendor partner and consultancy company. Interviews have been conducted with nine employees in the company and an in- depth analysis of collected data have been carried out to identify the major technical debt categories specific to SaaS applications. The results revealed that TD categories and problems in traditional software applications are also valid for SaaS projects. There are also new categories of TD specific to SaaS. We identified 15 unique SaaS- specific technical debt categories associated with 23 relevant indicators. Additionally, we noted the presence of 81 generic software technical debt indicators, classified under 23 categories.

Subject Keywords

Technical Debt, Software as a Service, Technical Debt in SaaS

URI

https://dergipark.org.tr/tr/download/article-file/3392395
https://hdl.handle.net/11511/107970

Journal

Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi

Collections

Graduate School of Informatics, Article

Citation Formats

Ö. Özcan Top, Y. KURANEL, and A. Koçyiğit, “Categorization of Technical Debt in Software as a Service Applications,” Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 39, no. 3, pp. 446–462, 2023, Accessed: 00, 2024. [Online]. Available: https://dergipark.org.tr/tr/download/article-file/3392395.