A software infrastructure for information quality assessment

Information quality assessment of technical documentation is nowadays an integral part of quality management of products and services. These are usually assessed using questionnaires, checklists, and reviews and consequently work that is cumbersome, costly and prone to errors. Acknowledging the fact that only humans can assess certain quality aspects, we suggest complementing these with automatic quality assessment using a software infrastructure that (i) reads information from documentations, (ii) performs analyses on this information, and (iii) visualizes the results to help stakeholders understand quality issues. We introduce the software infrastructure’s architecture and implementation, its adaptation to different formats of documentations and types of analyses, along with a number of real world cases exemplifying feasibility and benefit of our approach. Altogether, our approach contributes to more efficient and automatic information quality assessments.