This paper explores the usage of search-based techniques for the Testing Resource Allocation Problem (TRAP). We focus on the analysis of the literature, surveying the research proposals where search-based techniques are exploited for different formulations of the TRAP. Three dimensions are considered: the model formulation, solution, and validation. The analysis allows to derive several observations, and finally outline some new research directions towards better (namely, closer to real-world settings) modelling and solutions, highlighting the most promising areas of investigation.
Search-based Optimization for the Testing Resource Allocation Problem: Research Trends and Opportunities / Pietrantuono, R., Russo, S.. - Part F137726:(2018), pp. 6-12. (SBST’18: IEEE/ACM 11th International Workshop on Search-Based Software Testing, co-located with the 40th International Conference on Software Engineering, ICSE 2018 Gothenburg, Sweden May 28–29, 2018) [10.1145/3194718.3194721].
Search-based Optimization for the Testing Resource Allocation Problem: Research Trends and Opportunities
Roberto Pietrantuono;Stefano Russo
2018
Abstract
This paper explores the usage of search-based techniques for the Testing Resource Allocation Problem (TRAP). We focus on the analysis of the literature, surveying the research proposals where search-based techniques are exploited for different formulations of the TRAP. Three dimensions are considered: the model formulation, solution, and validation. The analysis allows to derive several observations, and finally outline some new research directions towards better (namely, closer to real-world settings) modelling and solutions, highlighting the most promising areas of investigation.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
