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The influence of search components and problem characteristics in early life cycle class modelling (2014)
Journal Article
Smith, J., & Simons, C. (2015). The influence of search components and problem characteristics in early life cycle class modelling. Journal of Systems and Software, 103, 440-451. https://doi.org/10.1016/j.jss.2014.11.034

© 2014 Elsevier Inc. All rights reserved. This paper examines the factors affecting the quality of solution found by meta-heuristic search when optimising object-oriented software class models. From the algorithmic perspective, we examine the effect... Read More about The influence of search components and problem characteristics in early life cycle class modelling.

Using evolutionary computation to shed light on the effect of scale and complexity on object-orientedsoftware design (2014)
Presentation / Conference
Simons, C., & Smith, J. (2014, October). Using evolutionary computation to shed light on the effect of scale and complexity on object-orientedsoftware design. Paper presented at 2014 IEEE International Conference on Systems, Man, and Cybernetics, San Diego, CA, USA

Early lifecycle software design is an intensely human activity in which design scale and complexity can place a high cognitive load on the software designer. Recently, the use of evolutionary search has been suggested to yield insights in the natur... Read More about Using evolutionary computation to shed light on the effect of scale and complexity on object-orientedsoftware design.

Metaheuristic design pattern: Interactive solution presentation (2014)
Presentation / Conference
Shackelford, M., & Simons, C. (2014, July). Metaheuristic design pattern: Interactive solution presentation. Paper presented at Workshop on Metaheuristic Design Patterns (MetaDeeP), at the 2014 Genetic and Evolutionary Computation Conference (GECCO 2014), Vancouver, Canada

Interactive ant colony optimization (iACO) for early lifecycle software design (2014)
Journal Article
Simons, C., Smith, J., & White, P. (2014). Interactive ant colony optimization (iACO) for early lifecycle software design. Swarm Intelligence, 8(2), 139-157. https://doi.org/10.1007/s11721-014-0094-2

Finding good designs in the early stages of the software development lifecycle is a demanding multi-objective problem that is crucial to success. Previously, both interactive and non-interactive techniques based on evolutionary algorithms (EAs) have... Read More about Interactive ant colony optimization (iACO) for early lifecycle software design.