Title :
The Human Competitiveness of Search Based Software Engineering
Author :
De Souza, Jerffeson Teixeira ; Maia, Camila Loiola ; De Freitas, Fabrício Gomes ; Coutinho, Daniel Pinto
Author_Institution :
Optimization in Software Eng. Group (GOES.UECE), State Univ. of Ceara (UECE) Fortaleza, Fortaleza, Brazil
Abstract :
This paper reports a comprehensive experimental study regarding the human competitiveness of search based software engineering (SBSE). The experiments were performed over four well-known SBSE problem formulations: next release problem, multi-objective next release problem, workgroup formation problem and the multi-objective test case selection problem. For each of these problems, two instances, with increasing sizes, were synthetically generated and solved by both metaheuristics and human subjects. A total of 63 professional software engineers participated in the experiment by solving some or all problem instances, producing together 128 responses. The comparison analysis strongly suggests that the results generated by search based software engineering can be said to be human competitive.
Keywords :
human factors; optimisation; software engineering; SBSE problem formulation; human competitiveness; metaheuristics; multiobjective next release problem; multiobjective test case selection; search based software engineering; workgroup formation problem; Gallium; Humans; Search problems; Simulated annealing; Software; Software algorithms; Software engineering; SBSE; human competitiveness; human subjects; search based software engineering;
Conference_Titel :
Search Based Software Engineering (SSBSE), 2010 Second International Symposium on
Conference_Location :
Benevento
Print_ISBN :
978-1-4244-8341-9
DOI :
10.1109/SSBSE.2010.25
