Source code can contain a large amount of data to be interpreted by the human reader. This can be a daunting task since the cognitive ability of an individual may not be as efficient as computers. Visual analytics (VA) can be applied in software maintenance to facilitate code comprehension and other maintenance tasks. In this research, we propose a prototype tool called VA4SM, for visualizing important source code information such as static dependencies, structure and code metrics. We discuss the key features of VA4SM and improvements for future work.

Blockchain-oriented software (BOS) is emerging rapidly, however, tailored software engineering techniques to assist software testing is one of the important and necessary phases of software development that plays a vital role in software quality assurance. Blockchain-oriented software testing (BOST) is another area that is still emerging. This paper conducts a preliminary literature review to assess the type of research published, where this research can be found, and the main themes of existing research in BOST. This study also introduces a framework for conducting an empirical study on BOS available on GitHub and proposes future work to expand the knowledge in this domain.