作者: Hatem Ahriz , Susan Craw , Stewart Massie , Richard Thomson , Ian Mills
关键词: Software engineering 、 Artificial intelligence 、 Reuse 、 Project plan 、 Recommender system 、 Case-based reasoning 、 Well engineering 、 Project planning 、 Machine learning 、 Domain (software engineering) 、 Plan (drawing) 、 Computer science
摘要: Good project planning provides the basis for successful offshore well drilling projects. In this domain, occurs in two phases: an onshore phase develops a plan; and implements plan tracks progress. The Performance Tracker applies case-based reasoning approach to support reuse of plans. Cases comprise problem parts that store initiation data, solution record tasks subtasks actual An initial evaluation shows nearest neighbour retrieval identifies projects which retrieved are relevant new project. can be viewed as recommender system recommendations Thus data is routinely captured part performance tracking during implementation utilised experiences.