Optimizing selection of competing features via feedback-directed evolutionary algorithms

• Main Authors: TAN, Tian Huat, XUE, Yinxing, CHEN, Manman, SUN, Jun, LIU, Yang, DONG, Jin Song Dong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Software product line; evolutionary algorithms; SAT solvers; Software Engineering; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/4954; https://ink.library.smu.edu.sg/context/sis_research/article/5957/viewcontent/2771783.2771808.pdf
• Institution: Singapore Management University

Software that support various groups of customers usually require complicated configurations to attain different functionalities. To model the configuration options, feature model is proposed to capture the commonalities and competing variabilities of the product variants in software family or Softw...