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The following study deals with static analysis of Java source codes and it is dedicated to those readers who are interested in techniques aiming at evaluation of programming abilities of job candidates or students. In our case, the goal of the static analysis is to assemble the most significant and interesting data about source code author (programmer). If properly visualized, such assembled data may form programmer's profile which, to impartial observer, may further determine author's real programming abilities and his/her habits, both good and the bad ones. The present study represents first experiments attempting to form programmer's profile by static analysis of language element frequency. Conclusion offers a broader view, combining also other techniques as a future plan to generate knowledge profiles more precisely.

We present evolutionary approach to program development based on absorption of genetic strings at different metalevels. Introducing the principles of software evolution as processes of semantical stability, expansion and contraction, we continue with an example illustrating how it is possible to integrate metalevel with base level and how this integrated computation works when driven by genetic string of codons, determining decisions for program construction and the result of constructed program execution. Next, we analyse the evolutionary circle at metalevel and we show that mentioned expansion and contraction is possible. The main contribution of the paper is that it breaks classic boundaries between models and programs because formal binding of metalevels and base level have been reached.Keywords: software evolution • genetic evolution of programs • executable metalanguages • metaprogramming © Versita sp. z o.o.

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