The aim of this thesis is to study metrics and tools for measuring code complexity. Special emphasis is placed on theoretical basis of developed metrics for object-oriented and submitted for the aspect-oriented paradigm. This work is concluded with examples of measurements on object and aspect oriented samples of code by using Ndepend and Visual Studio tools. Aspect-oriented programming is a paradigm that builds on the object system. After identifying cross-cutting concerns, they are encapsulated in aspects and extracted from the source code. Class cohesion is promoted by reducing and limiting class duties, enabling the single responsibility principle in situations where a class must implement a functionality that logically doesn't belong to its object model. Through different types of aspect oriented implementation these crosscutting concerns are returned back into the flow of the program by interception, introduction of new code or by wrapping existing code. For the purpose of implementing Aspect Oriented Programming examples in this work are done by using PostSharp for .NET framework. Object-oriented programming is one of the most popular and longest-running programming paradigms, as such, it is well documented and used in practice. Throughout history, the measurement of object models had an abundance of academic support, consequently there is a wide variety of static code analysis tools for measuring object oriented systems. This thesis discusses the most famous of the proposed metrics for object systems, called CK metrics and Martin's software package metrics. By building on object oriented metrics, new or modified aspect oriented metrics are being developed, these are also discussed in this work. Over the years, there hasn't been developed a tool that would successfully be able to measure or compare aspect oriented with object oriented systems. This raises a question of how well the currently available tools are qualified for measuring aspect oriented systems. What is the amount of foreknowledge needed to work with such tools, to identify weaknesses and strengths in the measurement. Tools for static code analysis are widely used. This work draws special attention to the performance of two popular tools when measuring aspect oriented code, as well as what changes occur in relation to the results of measurement against object oriented code and why. This thesis in detail explains the use of the two aforementioned tools for analyzing code: NDepend and Visual Studio Code Analysis. The focus is on the so-called traditional metrics and CK metrics for object-oriented design. Examples of measurement are placed at two commonly used aspect oriented implementations: read writer lock and observer pattern and their equivalents written with object oriented paradigm.