Fault-tolerant context development and requirement validation in ERP systems

This paper presents context development and requirement validation to overcome maintenance problems in Enterprise Resource Planning (ERP) systems. Using ERP data of a local petroleum firm, we employ knowledge integration to dynamically validate users' requirements, and to gather, analyze, and represent context through knowledge models. We also employ context-awareness to model the ERP context, along with a user requirement model. We employ context affinity to determine impact of these models on requirements' validation. We apply fault-tolerance on these models by using data mining to pre-identify delays in delivery of petroleum products, and to predict faulty contextual ERP product configuration. •Context-aware classification methodology for Enterprise Resource Planning (ERP)•Semantics for ERP interactions regarding requirements of different stakeholders•Contextual requirement validity by comparing requirement model of the users with ERP•Decision trees to predict successful consignment deliveries for a local oil company•Decision trees to predict conflict-free feature models for configuring oil products