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Contribution Details
| Type | Other Publication |
| Scope | Discipline-based scholarship |
| Title | SCA: code quality improvement |
| Organization Unit | |
| Authors |
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| How Published | |
| Date | 2011 |
| Abstract Text | This thesis is about quality improvement of code written in C with the help of source code analysis. Many tools provide the functionality to analyze software. The commercially available ones tend to provide an all-in one package where the functionality ranges from calculating source code metrics to in-depth architecture analysis. Free tools on the other hand usually focus on a particular functionality only for example, on detecting code clones or on finding violations of coding conventions. This thesis investigates how knowledge necessary to monitor and improve code quality can be provided with a minimal investment of time, money and effort. Therefore, we will focus on free tools and the data we can extract from the source code. The background assumption is that many developers work within time constraints and with a workload that minimizes their motivation to invest time in activities to improve code quality. The result of this thesis is a software tool that automates the analysis of source code with different tools and prepares the results in a way that is profitable for its users. |
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