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A systematic literature review of how to introduce data quality requirements into a software product development
Data quality; Requirements specification; Systematic review Acceptable quality levels; Data quality; Implement mechanisms; ITS data; Requirements specifications; Software mechanisms; Software product development; Software requirements; Systematic literature review; Systematic Review; Data reduction; Product development; Software design; Specifications; Surveys; Computer software selection and evaluation
In recent years many organizations have come to realize the importance of maintaining data with the most appropriate levels of data quality when using their information systems (IS). We therefore consider that it is essential to introduce and implement mechanisms into the organizational IS in order to ensure acceptable quality levels in its data. Only by means of these mechanisms, will users be able to trust in the data they are using for the task in hand. These mechanisms must be developed to satisfy their data quality requirements when using specific functionalities of the IS. From our point of view as software engineering researchers, both these data quality requirements and the remaining software requirements must be dealt with in an appropriate manner. Since the goal of our research is to establish means to develop those software mechanisms aimed at managing data quality in IS, we decided to begin by carrying out a survey on related methodological and technical issues to depict the current state of the field. We decided to use the systematic review technique to achieve this goal. This paper shows the principal results of the survey, along with the conclusions reached.
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ENASE 2010 - Proceedings of the 5th International Conference on Evaluation of Novel Approaches to Software Engineering
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