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

fYear

2010

fDate

7-9 Sept. 2010

Firstpage

143

Lastpage

152

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Search Based Software Engineering (SSBSE), 2010 Second International Symposium on

Conference_Location

Benevento

Print_ISBN

978-1-4244-8341-9

Type

conf

DOI

10.1109/SSBSE.2010.25

Filename

5635158