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    Öğe
    A fuzzy logic-based quality model for identifying microservices with low maintainability
    (Elsevier Inc., 2024) Yılmaz, Rahime; Buzluca, Feza
    Microservice Architecture (MSA) is a popular architectural style that offers many advantages regarding quality attributes, including maintainability and scalability. Developing a system as a set of microservices with expected benefits requires a quality assessment strategy that is established on the measurements of the system's properties. This paper proposes a hierarchical quality model based on fuzzy logic to measure and evaluate the maintainability of MSAs considering ISO/IEC 250xy SQuaRE (System and Software Quality Requirements and Evaluation) standards. Since the qualitative bounds of low-level quality attributes are inherently ambiguous, we use a fuzzification technique to transform crisp values of code metrics into fuzzy levels and apply them as inputs to our quality model. The model generates fuzzy values for the quality sub-characteristics of the maintainability, i.e., modifiability and testability, converted to numerical values through defuzzification. In the last step, using the values of the sub-characteristics, we calculate numerical scores indicating the maintainability level of each microservice in the examined software system. This score was used to assess the quality of the microservices and decide whether they need refactoring. We evaluated our approach by creating a test set with the assistance of three developers, who reviewed and categorized the maintainability levels of the microservices in an open-source project based on their knowledge and experience. They labeled microservices as low, medium, or high, with low indicating the need for refactoring. Our method for identifying low-labeled microservices in the given test set achieved 94% accuracy, 78% precision, and 100% recall. These results indicate that our approach can assist designers in evaluating the maintainability quality of microservices.
  • [ X ]
    Öğe
    A fuzzy quality model to measure the maintainability of microservice architectures
    (2021) Buzluca, Feza
    Microservice architecture (MSA) is a type of software and systems architecture that is based on the modularization principle. It proposes designing systems employing small-scaled, loosely coupled, and independently deployable microservices. There are several benefits of microservices architecture in terms of maintainability, scalability, and productivity which have led to rise in its popularity. Even though there are several studies about development in MSA, the studies on the quality of the microservice-based systems are limited. In this study, we propose a quality model based on fuzzy logic to measure and assess quality attributes of systems in MSA that can be used by software architects, developers, and project managers. We focus on maintainability of microservices because it is one of the most important quality attributes of software systems. We identified sub-characteristics and properties of microservices that affect maintainability, and constructed a hierarchical quality model based on ISO/IEC 250xy standard SQuaRE (System and Software Quality Requirements and Evaluation). Our fuzzy model measures maintainability of microservices in three levels, i.e., low, medium, and high. We provided a basis for the development and application of quality models in industrial practice as well as a basis for further extension. To demonstrate and evaluate our methodology, we used open-source applications designed in MSA. The results show that our method can assess maintainability of microservices realistically.