This survey reviews published materials relating to the specific area of Search Based Software Engineering concerning software maintenance. 99 papers are selected from online databases to analyze and review the area of Search Based Software Maintenance. The literature addresses different methods to automate the software maintenance process. There are studies that analyze different software metrics, studies that experiment with multi-objective techniques and papers that propose refactoring tools for use. This survey also suggests papers from related areas of research, and introduces some of the concepts and techniques used in the area. The current state of the research is analyzed in order to assess opportunities for future research. This survey is beneficial as an introduction for any researchers aiming to work in the area of Search Based Software Maintenance and will allow them to gain an understanding of the current landscape of the research and the insights gathered. The papers reviewed as well as the refactoring tools introduced are tabulated in order to aid researchers in quickly referencing studies.
|Number of pages||52|
|Journal||Journal of Software Engineering Research and Development|
|Publication status||Published - 07 Feb 2018|
Student thesis: Doctoral Thesis › Doctor of PhilosophyFile
- School of Electronics, Electrical Engineering and Computer Science - Senior Lecturer
- Knowledge and Data Engineering