Experiences in Adapting a Source Code-Based Quality Assessment Technology

János Pántos, Árpád Beszédes, Pál Gyenizse and Tibor Gyimóthy
Testing-based software quality assurance often does not provide an appropriate level of efficiency and reliability. To aid this problem, different kinds of static verification techniques can be applied, like code metrics and code inspection. Many quality assessment methods that are based on static source code analysis has already been proposed, yet these can be used is particular industrial environment - in which often proprietary programming languages are used - only after appropriate adaptation. This paper presents experiences in adapting an existing technology and tools suitable for quality assessment based on source code analysis. The technology has demonstrated its success and usability in industrial environment; being capable of comprehensive and continuous quality monitoring of large and complex software systems involving proprietary technologies.