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software diagnosis : ウィキペディア英語版
software diagnosis
Software diagnosis (also: ''software diagnostics'') refers to concepts, techniques, and tools that allow for obtaining findings, conclusions, and evaluations about software systems and their implementation, composition, behavior, and evolution. It serves as means to monitor, steer, observe and optimize software development, software maintenance, and software reengineering in the sense of a business intelligence approach specific to software systems. It is generally based on the automatic extraction, analysis, and visualization of corresponding information sources of the software system.
== Applications ==
Software diagnosis supports all branches of software engineering, in particular project management, quality management, risk management as well as implementation and test. Its main strength is to support all stakeholders of software projects (in particular during software maintenance and for software reengineering tasks〔Martin Beck, Jonas Trümper, Jürgen Döllner: "A Visual Analysis and Design Tool for Planning Software Reengineerings". Proceedings of the 6th IEEE International Workshop on Visualizing Software for Understanding and Analysis, IEEE Computer Society, pp. 54-61, 2011.〕) and to provide effective communication means for software development projects. For example, software diagnosis facilitates "bridging an essential information gap between management and development, improve awareness, and serve as early risk detection instrument".〔Johannes Bohnet, Jürgen Döllner: "Monitoring Code Quality and Development Activity by Software Maps". Proceedings of the IEEE ACM ICSE Workshop on Managing Technical Debt, pp. 9-16, 2011.〕 Software diagnosis includes assessment methods for "perfective maintenance" that, for example, apply "visual analysis techniques to combine multiple indicators for low maintainability, including code complexity and entanglement with other parts of the system, and recent changes applied to the code".〔Jonas Trümper et al.: "A Visual Analysis Approach to Support Perfective Software Maintenance". Proceedings of the 16th International Conference on Information Visualisation, IEEE Computer Society, pp. 308-315, 2012.〕

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