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A Longitudinal study of Depth of Inheritance and its effects on programmer maintenance effort Adrian Reagan Department of Computer Science and Information Systems, University of Limerick, Castle troy,

The extent and direction of inheritance depends on the language and program design. However, its design and implementation are typically constrained by time, resource, and architectural boundaries. In this paper, I introduce the term 'depth of inheritance' because this is a measure that reflects both the scope and difficulty of the task. I examine three types of inheritance: strong, weak, and mixed, and illustrate how these types respond to these constraints. By comparing these techniques to each other, which one produces greater or lesser levels of abstraction? In this paper, I examine the following questions: Does strong, mixed, and strict inheritance yield better solutions than weak inheritance? Can strong inheritance produce the most abstract code? Are there any other characteristics of weak inheritance that should be considered? I use 'deep' inheritance to refer to strict inheritance, mixed and weak inheritance, and strict mixed inheritance. Abstract Deep inheritance Abstract inheritance is the general classification of inheritance into three sub-classes: strong, mixed, and strict. The idea behind deep inheritance is to make it easier for the programmer to understand what inheritance means and to express this in the code, whereas shallow inheritance emphasizes the complexity of implementing various abstract interfaces. In this paper, I investigate the degree to which deep inheritance has an impact on programmer productivity through a longitudinal study using a sample of 100,000 lines of C code. I investigate three primary ways of implementing polymorphism: using a single abstract interface, multiple interfaces, or multiple inheritance. The empirical study reveals a clear and significant impact of deep inheritance. The analysis reveals that programmers writing polymorphic code are 2.72 times more productive than those writing code using deep inheritance. Abstract Polymorphic polymorphism is a generic and powerful mechanism where different code units provide polymorphic behavior in response to differences in the context of use. Using polymorphism allows various software components to achieve a desired behavior even if they do not share the same underlying type or implementations. This research provides an empirical analysis of implementation-level polymorphism in the context of C programs. I use a sampling of 200,000 lines of C code to show that programmers writing polymorphic C code are 5.34 times more productive than those writing code with a single abstract interface. Abstract The importance of documentation for the development, maintenance, and testing of software is a point worth considering. The goal of a good documentation is to make the information contained within the code of the program easy to locate, and to provide the information that programmers need to develop and maintain the resulting software without the use of external information.

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