• KIPS Transactions on Software and Data Engineering
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• v.2 no.5
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• pp.319-328
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• 2013

Software maintainers try to comprehend software source code by intensively using source code identifiers. Thus, use of inconsistent identifiers throughout entire source code causes to increase cost of software maintenance. Although participants can adopt peer reviews to handle this problem, it might be impossible to go through entire source code if the volume of code is huge. This paper introduces an approach to automatically detecting inconsistent identifiers of Java source code. This approach consists of tokenizing and POS tagging all identifiers in the source code, classifying syntactic and semantic similar terms, and finally detecting inconsistent identifiers by applying proposed rules. In addition, we have developed tool support, named CodeAmigo, to support the proposed approach. We applied it to two popular Java based open source projects in order to show feasibility of the approach by computing precision.

• Biomedical Science Letters
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• v.30 no.1
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• pp.1-9
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• 2024

Although there have been several attempts to use virtual reality (VR) in the treatment of depression, the results have been inconsistent and existing studies have mostly relied on subjective measures to assess the effectiveness of VR in improving depression. The aim of this study was to investigate the effect of nature experience-based VR intervention on depressive symptoms in a young population using both subjective and objective measurements. The study population included 15 participants who had more than 14 identifiers of the Korean Beck Depression Inventory (K-BDI)-II. Participants received three weeks (four times per week) of VR intervention. The effectiveness of VR was assessed through changes in K-BDI-II scores and depression-related blood biomarkers. Nature experience-based VR intervention led to an approximately 50% reduction of K-BDI-II score (before 25.7±7.7 vs. after 12.5±8.3 (P<0.001)). Of these, loss of pleasure and fatigue showed the largest amount of improvement. However, levels of cortisol, brain-derived neurotrophic factor, and interleukin-6 did not differ from those at baseline. The findings of our pilot study suggest that nature experience-based VR can be a useful adjunctive treatment method for improving depressive symptoms in individuals who have difficulty accessing the real outside natural environment.