Genetic improvement for emergent software systems faces unique challenges due to its deployment in highly dynamic environments. In this paper, we discuss four of those challenges along with our initial plans for new research
Embedded systems dominate the computing landscape. This dominance is increasing with the advent of u...
Genetic Programming (GP) has been criticized for targeting irrelevant problems [12], and is also tru...
Genetic improvement uses automated search to find improved versions of existing software. Software c...
Emergent software systems are assembled from a collection of small code blocks, where some of those ...
Adaptive and emergent systems exist to attempt to answer the deficiencies inherent to distributed sy...
Emergent software systems take a step towards tackling the ever-increasing complexity of modern soft...
Automatic Programming has long been a sub-goal of Artificial Intelligence (AI). It is feasible in li...
Genetic improvement uses automated search to find improved versions of existing software. We present...
Genetic Improvement (GI) uses automated search to improve existing software. Most GI work has focuse...
In today’s technology driven society, software is becoming increasingly important in more areas of ...
Genetic Improvement (GI) uses automated search to improve existing software. Most GI work has focuse...
Genetic code improvement systems (GI) start from an existing piece of program code and search for al...
Genetic improvement (GI) is a relatively new area of software engineering and thus the extent of its...
Abstract Genetic Improvement is an area of Search Based Software Engineering that aims to apply evol...
We document the program and the immediate outcomes of Dagstuhl Seminar 18052 “Genetic Improvement o...
Embedded systems dominate the computing landscape. This dominance is increasing with the advent of u...
Genetic Programming (GP) has been criticized for targeting irrelevant problems [12], and is also tru...
Genetic improvement uses automated search to find improved versions of existing software. Software c...
Emergent software systems are assembled from a collection of small code blocks, where some of those ...
Adaptive and emergent systems exist to attempt to answer the deficiencies inherent to distributed sy...
Emergent software systems take a step towards tackling the ever-increasing complexity of modern soft...
Automatic Programming has long been a sub-goal of Artificial Intelligence (AI). It is feasible in li...
Genetic improvement uses automated search to find improved versions of existing software. We present...
Genetic Improvement (GI) uses automated search to improve existing software. Most GI work has focuse...
In today’s technology driven society, software is becoming increasingly important in more areas of ...
Genetic Improvement (GI) uses automated search to improve existing software. Most GI work has focuse...
Genetic code improvement systems (GI) start from an existing piece of program code and search for al...
Genetic improvement (GI) is a relatively new area of software engineering and thus the extent of its...
Abstract Genetic Improvement is an area of Search Based Software Engineering that aims to apply evol...
We document the program and the immediate outcomes of Dagstuhl Seminar 18052 “Genetic Improvement o...
Embedded systems dominate the computing landscape. This dominance is increasing with the advent of u...
Genetic Programming (GP) has been criticized for targeting irrelevant problems [12], and is also tru...
Genetic improvement uses automated search to find improved versions of existing software. Software c...
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