## 3 Research Methodology  
The study developed a new FMEA model to prioritize the most recurring errors in software testing processes according to their severity on the project. In the developed FMEA model, unlike the classical FMEA method, the severity component is divided into subcomponents. According to the developed FMEA model, since the components to be used in risk prioritization will have different weights on the relevant errors, there are two main components of the model (probability and detectability) and five sub-severity components (severity on time, severity on quality, severity on cost, severity on solvability, and severity on usability), whose weights were calculated using the fuzzy SWARA method. The applied techniques are explained in the subsections.  
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Author(s)** & **Scope of Application** & **Technique(s)** \\ \hline [PERSON] and [PERSON] [54] & Risk assessment in the supply chain & Fuzzy SWARA, FMEA \\ [PERSON] and [PERSON] [55] & Prioritize risks in the aviation industry & Fuzzy TOPSIS, FMEA \\ [PERSON] et al. [56] & Ranking failure modes & DEA \\ [PERSON] et al. [57] & Risk assessment in the health sector & VIKOR, FMEA \\ [PERSON] et al. [58] & Rank risks in the energy sector & FMEA, GRA, VIKOR \\ [PERSON] et al. [59] & Assessing the risk of environmental pollution & AHP, TOPSIS, CRITIC, ASSETS, \\ [PERSON] et al. [60] & Submarine pipeline risk analysis & Monte Carlo \\ [PERSON] and [PERSON] [61] & Supply-chain route selection risk assessment & BWM, MARCOS \\ [PERSON] et al. [62] & Determining risks in oil facilities & HAZOP, Fuzzy AHP \\ [PERSON] and [PERSON] [63] & Risk management in medicine and health & FMEA, fuzzy wings-G1 \\ [PERSON] et al. [64] & Risk in construction projects & SWARA, WASP, FMEA \\ [PERSON] et al. [65] & Risk assessment for renewable-energy investments & Fuzzy AHP, FMEA \\ [PERSON] et al. [66] & Evaluation of the production process with cloud & FMEA, TOPSIS \\ [PERSON] et al. [67] & Prioritization of radiological accidents & Risk matrix, AHP \\ [PERSON] and [PERSON] [68] & Risk analysis improvement & Fuzzy FMEA, MIP, MULTIMOORA \\ [PERSON] et al. [7] & Risk management in COVID-19 projects & FMEA, CPP \\ [PERSON] et al. [69] & Reducing the impact of production-facility & Fuzzy FMEA, AHP, TOPSIS \\ [PERSON] and [PERSON] [70] & Risk prioritization for manufacturing project & Fuzzy SWARA, fuzzy MOORA \\ \hline \hline \end{tabular}
\end{table}
Table 4: Studies where MCDM and risk-management techniques are applied together.  
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Author(s)** & **Scope of Application** & **Technique** \\ \hline [PERSON] et al. [7] & Risk management in COVID-19 projects & FMEA \\ [PERSON] and [PERSON] [43] & Select the method to identify hazardous substances & FTA, Monte Carlo \\ [PERSON] et al. [44] & Product-development risk analysis & FMEA \\ [PERSON] and [PERSON] [45] & Maritime risk assessment & FMEA, IT2 FSs \\ [PERSON] et al. [46] & Risk analysis of suspension failure & FMEA \\ [PERSON] et al. [47] & Risk analysis in subsea facilities & FMEA \\ [PERSON] et al. [48] & Software and hardware tests risk assessment & HAZOP \\ [PERSON] and [PERSON] [49] & Risk assessment for information database preparation & HAZOP \\ [PERSON] and [PERSON] [50] & Nuclear waste risk assessment & HAZOP \\ [PERSON] et al. [51] & Risk analysis based on cloud model theory connection & Risk matrix \\ [PERSON] et al. [52] & Operational risk analysis in a construction company & Fuzzy set theory \\ [PERSON] et al. [53] & Risk analysis of subsea clamp installation procedures & Fuzzy risk matrix \\ \hline \hline \end{tabular}
\end{table}
Table 3: Risk-assessment studies.