Technical debt specification and categorization for software as a service applications

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2022-11-28

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Kuranel, Yasemin

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An outcome of taking poor decisions or choosing easier solutions for faster code delivery is technical debt (TD). It is important to specify technical debt in any development effort. Technical debt is also common in platform-based solutions. However, there is not much research about TD categorization for software as a service applications (SaaS). In this study, we used different categorization methods to specify the TD in organizations using SaaS applications. To understand the technical debt indicators and problems specific to such organizations, and to address TD management, we conducted two different case studies. First, we evaluated the effectiveness of existing technical debt categorization methods varying in granularity. For the second case study, we used one of the categorization methods with the highest level of detail, which takes the nature of the debt into consideration, and we performed a mapping with the TD categories and ISO/IEC 12207 software life cycle processes. We found the indicators, reasons, the problems arising due to TD, and the ways in which TD management can be performed in organizations working with SaaS applications. It was determined that TD categories and problems that exist in traditional software applications are also seen in the field of SaaS, but there are also additions to TD problems that are specific to SaaS. The 9 different categories of TD experienced in SaaS applications and the sub-diffractions of the “SaaS Related Limitations” category are presented in the study.

Subject Keywords

Technical Debt, Categorization, Software as a Service

URI

https://hdl.handle.net/11511/101206

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Graduate School of Informatics, Thesis

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Citation Formats

Y. Kuranel, “Technical debt specification and categorization for software as a service applications,” M.S. - Master of Science, Middle East Technical University, 2022.