Identifying refactoring sequences for improving software maintainability
Panita Meananeatra
Abstract
Panita Meananeatra
Abstract
Refactoring is a well-known technique that preserves software behaviors and improves its bad structures or bad smells. In most cases, more than one bad smell is found in a program. Consequently, developers frequently apply refactorings more than once. Applying appropriate refactoring sequences, an ordered list of refactorings, developers can remove bad smells as well as reduce improvement time and produce highly maintainable software. According to our 2011 survey, developers consider four main criteria to select an optimal refactoring sequence: 1) the number of removed bad smells, 2) maintainability, 3) the size of refactoring sequence and 4) the number of modified program elements. A refactoring sequence that satisfies these four criteria produces code without bad smells, with higher maintainability, using the least improvement effort and time, and providing more traceability. Some existing works suggest a list of refactorings without ordering, and others suggest refactoring sequences. However, these works do not consider the four criteria discussed earlier. Therefore, our research proposes an approach to identify an optimal refactoring sequence that meets these criteria. In addition, it is expected that the findings will reduce maintenance time and cost, increase maintainability and enhance software quality.
OpenAlex reports 41 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Refactoring is a well-known technique that preserves software behaviors and improves its bad structures or bad smells. In most cases, more than one bad smell is found in a program. Consequently, developers frequently apply refactorings more than once. Applying appropriate refactoring sequences, an ordered list of refactorings, developers can remove bad smells as well as reduce improvement time and produce highly maintainable software. According to our 2011 survey, developers consider four main criteria to select an optimal refactoring sequence: 1) the number of removed bad smells, 2) maintainability, 3) the size of refactoring sequence and 4) the number of modified program elements. A refactoring sequence that satisfies these four criteria produces code without bad smells, with higher maintainability, using the least improvement effort and time, and providing more traceability. Some existing works suggest a list of refactorings without ordering, and others suggest refactoring sequences. However, these works do not consider the four criteria discussed earlier. Therefore, our research proposes an approach to identify an optimal refactoring sequence that meets these criteria. In addition, it is expected that the findings will reduce maintenance time and cost, increase maintainability and enhance software quality.
Key concepts: Code refactoring, Maintainability, Code smell, Computer science, Software maintenance, Software quality, Software engineering, Software