caa a22 4500 605495823 CHVBK 20210128100533.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s11219-014-9233-7 doi (NATIONALLICENCE)springer-10.1007/s11219-014-9233-7 Prioritizing code-smells correction tasks using chemical reaction optimization [Elektronische Daten] [Ali Ouni, Marouane Kessentini, Slim Bechikh, Houari Sahraoui] The presence of code-smells increases significantly the cost of maintenance of systems and makes them difficult to change and evolve. To remove code-smells, refactoring operations are used to improve the design of a system by changing its internal structure without altering the external behavior. In large-scale systems, the number of code-smells to fix can be very large and not all of them can be fixed automatically. Thus, the prioritization of the list of code-smells is required based on different criteria such as the risk and importance of classes. However, most of the existing refactoring approaches treat the code-smells to fix with the same importance. In this paper, we propose an approach based on a chemical reaction optimization metaheuristic search to find the suitable refactoring solutions (i.e., sequence of refactoring operations) that maximize the number of fixed riskiest code-smells according to the maintainer's preferences/criteria. We evaluate our approach on five medium- and large-sized open-source systems and seven types of code-smells. Our experimental results show the effectiveness of our approach compared to other existing approaches and three different others metaheuristic searches. Springer Science+Business Media New York, 2014 Search-based software engineering nationallicence Refactoring, software quality nationallicence Code-smells nationallicence Chemical reaction optimization nationallicence Ouni Ali DIRO, GEODES Lab, University of Montreal, Montreal, QC, Canada aut Kessentini Marouane CIS, SBSE-Michigan Lab, University of Michigan, Michigan, MI, USA aut Bechikh Slim CIS, SBSE-Michigan Lab, University of Michigan, Michigan, MI, USA aut Sahraoui Houari DIRO, GEODES Lab, University of Montreal, Montreal, QC, Canada aut Software Quality Journal Springer US; http://www.springer-ny.com 23/2(2015-06-01), 323-361 0963-9314 23:2<323 2015 23 11219 https://doi.org/10.1007/s11219-014-9233-7 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11219-014-9233-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ouni Ali DIRO, GEODES Lab, University of Montreal, Montreal, QC, Canada aut NATIONALLICENCE 700 1- Kessentini Marouane CIS, SBSE-Michigan Lab, University of Michigan, Michigan, MI, USA aut NATIONALLICENCE 700 1- Bechikh Slim CIS, SBSE-Michigan Lab, University of Michigan, Michigan, MI, USA aut NATIONALLICENCE 700 1- Sahraoui Houari DIRO, GEODES Lab, University of Montreal, Montreal, QC, Canada aut NATIONALLICENCE 773 0- Software Quality Journal Springer US; http://www.springer-ny.com 23/2(2015-06-01), 323-361 0963-9314 23:2<323 2015 23 11219