No description available.

Background: Building software systems is an iterative and collaborative project, requiring developers not only to write code, but to maintain, expand, fix and enhance code already written. In order to do so, reading code is a central activity, and therefore it is important that code is written in a manner that makes it readable. Objectives: To map the state-of-the-art of software source code readability and find the definitions and methods to measure it, and provide an overview of the kinds of factors considered to impact software source code readability, and to compare this to practitioners' experiences of software source code readability. Methods: A systematic literature review of 76 studies in 72 papers from the last 40 years, explicitly concerning software source code readability, is compared with the results of five interviews with practitioners, of which three are case studies of commits explicitly targeting readability. Results: While individual factors' contribution towards readability is studied with some success, more general modelling studies often suffer from methodological problems, making them difficult to apply in practice or in studies of the correlation between software source code readability and other metrics. Conclusions: Key elements of the state-of-the-art have been implemented in practice, however, readability models are not used by the practitioners in this study. Several factors mentioned by practitioners are not considered by the studies included, and further qualitative study of software development practitioners may be needed.

The readability of source code is essential for software maintenance. Since maintenance is an ongoing process, which is estimated to be 70 percent of the software development life cycle's total costs, it cannot be deprioritized. The readability of source code is likely to affect the program comprehension, which may help or create problems in the maintenance of the software. How different code features and functions affect the readability of source code have previously been investigated, and readability metrics have been developed. The project was initiated because of the lack of research on how programming knowledge and statically compared to dynamically typed programming languages affect the readability of the source code. A survey was conducted and included 21 computer science students with various programming knowledge, each rating eight code snippets, making it in total 168 ratings. The results showed that the type of programming language could improve the readability of source code. The results also showed that programming knowledge does not have a correlation with the ability to read source code.

This master's thesis describes the design and implementation of optimizations in the middle-end part of a retargetable decompiler developed by AVG Technologies. The purpose of these optimizations is to improve readability of the produced source code and improve existing optimizations in the back-end part. In the introduction, basic information about reverse engineering and decompilation is provided. Then, a description of state of the retargetable decompiler before this work is given. After that, the main part of this work is presented, which describes the design and implementation of the proposed optimizations. Then, the techniques that were used for testing are described. This description is followed by a summary of the achieved results. The present work is concluded by a discussion of possible future development.