Proceedings of the 8th annual conference on Genetic and evolutionary computation
TimeAware test suite prioritization
Proceedings of the 2006 international symposium on Software testing and analysis
The Current State and Future of Search Based Software Engineering
FOSE '07 2007 Future of Software Engineering
Search Algorithms for Regression Test Case Prioritization
IEEE Transactions on Software Engineering
Pareto optimal search based refactoring at the design level
Proceedings of the 9th annual conference on Genetic and evolutionary computation
The multi-objective next release problem
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Ant colony optimisation for generation of conformance testing sequences using a characterising set
ACST'07 Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology
Editorial: Search-based software engineering
Computers and Operations Research
Staffing a software project: A constraint satisfaction and optimization-based approach
Computers and Operations Research
Empirical analysis of a genetic algorithm-based stress test technique
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Locating dependence structures using search-based slicing
Information and Software Technology
Optimized staffing for product releases and its application at Chartwell Technology
Journal of Software Maintenance and Evolution: Research and Practice - Search Based Software Engineering [SBSE]
Special Issue on Search-Based Software Maintenance
Journal of Software Maintenance and Evolution: Research and Practice - Search Based Software Engineering [SBSE]
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Toward State Space Island Identification in Multi-process Bidirectional Heuristic Search
AST '09 Proceedings of the 2009 International e-Conference on Advanced Science and Technology
Information and Software Technology
The relationship between search based software engineering and predictive modeling
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
Automated test case prioritization with reactive GRASP
Advances in Software Engineering - Special issue on software test automation
Search based software engineering
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
Dynamic resource scheduling in disruption-prone software development environments
FASE'10 Proceedings of the 13th international conference on Fundamental Approaches to Software Engineering
Empirical findings on team size and productivity in software development
Journal of Systems and Software
Search based software engineering: techniques, taxonomy, tutorial
Empirical Software Engineering and Verification
Search-based software engineering: Trends, techniques and applications
ACM Computing Surveys (CSUR)
Not going to take this anymore: multi-objective overtime planning for software engineering projects
Proceedings of the 2013 International Conference on Software Engineering
A PSO-based model to increase the accuracy of software development effort estimation
Software Quality Control
Exact scalable sensitivity analysis for the next release problem
ACM Transactions on Software Engineering and Methodology (TOSEM)
Automatic generation of basis test paths using variable length genetic algorithm
Information Processing Letters
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This paper evaluates the use of three differentsearch-based techniques, namely genetic algorithms, hill climbing and simulated annealing, and two problem representations, for planning resource allocation in large massive maintenance projects. In particular, the search-based approach aims to find an optimal or near optimal order in which to allocate work packages to programming teams, in order to minimize the project duration. The approach is validated by an empirical study of a large, commercial Y2K massive maintenance project, which compares these techniques with each other and with a random search (to provide base line comparison data). Results show that an ordering-based genome encoding (with tailored cross over operator) and the genetic algorithm appear to provide the most robust solution, though the hill climbing approach also performs well. The best search technique results reduce the project duration by as much as 50%.