RT Conference Proceedings
T1 Assignment of bug reports to software developers using a multi-population evolutionary method
A1 Araujo, Kannya Leal
A1 Mendes, Luiz Fernando
A1 Avelino, Guilherme
A1 Rabelo, Ricardo
A1 Osaba, Eneko
AB Existing approaches assign bug reports using only data from previously fixed reports. This can result in assignments to inactive developers, as well as not considering newcomers. A significant portion of assignments typically do not consider the workload of developers, which can overwhelm some and make the revision/debugging/correction process more time-consuming. This work proposes an approach for assigning bug reports that combines the experience and recent activities of developers, as well as their workload. When a new report is received, the effort to fix the bug based on similar error is estimated and each developer's affinity with the file containing the bug is calculated using a Fuzzy Inference system. Subsequently, the Golden Ball, a multi-population evolutionary metaheuristic, is used to assign these reports to developers according to affinity and workload. Experimental results show that, when compared with a brute force algorithm, the proposed approach reaches optimal values for assign in most cases (75% of the analyzed scenarios). The approach also obtained significantly better averages in 92.30% of the instances when compared to a Genetic Algorithm and 84.61% when compared to a Distributed Genetic Algorithm, and in only 23.07% of the instances there was no significant difference between the techniques.
PB Institute of Electrical and Electronics Engineers Inc.
SN 9781665488587
YR 2022
FD 2022
LK https://hdl.handle.net/11556/1968
UL https://hdl.handle.net/11556/1968
LA eng
NO Araujo , K L , Mendes , L F , Avelino , G , Rabelo , R & Osaba , E 2022 , Assignment of bug reports to software developers using a multi-population evolutionary method . in Proceedings - 2022 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2022 . Proceedings - 2022 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2022 , Institute of Electrical and Electronics Engineers Inc. , 8th IEEE Latin American Conference on Computational Intelligence, LA-CCI 2022 , Montevideo , Uruguay , 22/11/22 . https://doi.org/10.1109/LA-CCI54402.2022.9981348
NO conference
NO Publisher Copyright: © 2022 IEEE.
DS TECNALIA Publications
RD 31 jul 2024