A detection method of stagnation symptoms by using project progress models generated from project reports
The purpose of this research is to extract “stagnation symptoms” from progress reports related to a research project. A stagnation symptom is defined in a portion where remarkable stagnation is seen during the progress of a project. Specifically, according to project managers, stagnation symptoms can be classified into the following three kinds: first one is a project bottleneck grasped from one document; the second is clarified by comparing it with the most recent document; and the third is clarified from changes to a working object in a series of documents. We propose a method of extracting stagnation symptoms using the structural analysis of a project’s progress. A progress model that is a structural chart to expressing the progress of a project is generated from documents with label tags, which indicate prior contexts or attributes. This progress model has the following features: a multilevel layer model using detailed degrees and situation analysis using color, and relation analysis of these details and basis using color propagation. Stagnation symptoms are automatically extracted by applying stagnation symptom extraction rules to the progress model. This proposed method was been applied to a set of real progress reports. It could extract stagnation symptoms that were extracted manually.
Software Metrics Knowledge and Databases for Project Management
The construction and maintenance of large, high-quality software projects is a complex, error-prone and difficult process. Tools employing software database metrics can play an important role in the efficient execution and management of such large projects. In this paper, we present a generic framework to address this problem. This framework incorporates database and knowledge-base tools, a formal set of software test and evaluation metrics, and a suite of advanced analytic techniques for extracting information and knowledge from available data. The proposed combination of critical metrics and analytic tools can enable highly efficient and cost-effective management of large and complex software projects. The framework has the potential for greatly reducing venture risks and enhancing production quality in the domain of large-scale software project management.
Chemical Metallurgy: Principles and Practice
Foreword. Preface. Acknowledgements. Appreciation. 1. Acquaintance. 2. Mineral Processing. 3. Thermodynamics and Kinetics. 4. Pyrometallurgy. 5. Hydrometallurgy. 6. Electrometallurgy. 7. Energy and Environment. Subject Index.