Modifying corrective programming code according to requirements modifications so that the modifications work with existing code is a challenge for software maintenance design, because it is difficult to understand the meaning of existing code. This refers to both software specifications and business implications associated with modifying a software system. The lack of a knowledge-based collaborative environment is one of the prominent problems in software maintenance design. This paper presents the IoT-enabled knowledge sharing architecture using combination and internalization for collaborative software maintenance design to derive a collaborative software design procedure from the problem-solving systematic methods TRIZ, AHP and Maturity Index on Reliability (MIR). Next, we illustrate three elements of the proposed approach in more detail: combination using MIR, collaborative tagging decision-making using AHP, and internalization of problem-solving using TRIZ. Finally, a case study and evaluation are presented to demonstrate a practical application of the proposed approach.
This study proposes an aquaculture system combining wireless sensors with the Internet of Things and expert system concepts. Built on the accumulated expertise and experience of professionals and researchers, the knowledge base advises aqua-farms on relevant farming practices. We hope that this system will conserve resources and secure product quality. The system also provides production data to consumers, thus facilitating information transparency and allowing consumers to purchase products with full knowledge and guarantee of food safety.
Document management is a method to organize current knowledge and an appropriate document management method can decrease the time necessary to search for knowledge and also actively recommend a suitable document for a user thru an algorithm function. This paper proposes a document management system that combines RFID (Radio Frequency Identification) and an optimizing recommendation method. This system can immediately and intelligently obtain document information and provide suitable recommendation results based on a user's personal usage behavior and document characteristics and per document regulations of the TTQS (Taiwan TrainQuali System) standard. As such, the system furthers collaborative operation between organizations in document sharing. This paper describes the document management method in terms of an active response and communication platform that helps to consolidate and improve management efficiency and open up potential business opportunities.
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