Software and data quality
نویسندگان
چکیده
منابع مشابه
ELISA Analyzer •, a Software to Analyze and Optimize ELISA Data
ELISA data is usually handled in the MS Excel worksheets through different methods and different formulas. Accurate and precise calculations of the data is time consuming and tedious. ELISA Analyzer was developed with a user friendly interface to streamline titration and analysis of the data obtained from ELISA and improve rapid and lucid presentation of the results. The software can also hel...
متن کاملStudy of Spatial Data Quality Elements and VGI Linear Data Quality Assessment Methods
Volunteered Geographic Information has provided a rich and valuable resource for spatial data in a variety of applications. Despite the many benefits, this information does not provide any guarantee for their quality. So far, there are several methods to determine the quality of VGI. In addition to introducing quality elements and their evaluation methods, the present study attempts to explore ...
متن کاملSoftware Quality, Software Process, and Software Testing
Software testing should play a major role in the de nition and improvement of software development processes, because testing is the most precise, most easily measured and controlled part of the software lifecycle. However, unless testing goals are clearly related to true measurements of software quality, the testing may appear to improve, but the software will not. Much of current testing theo...
متن کاملThe CMS data quality monitoring software: experience and future prospects
The Data Quality Monitoring (DQM) Software proved to be a central tool in the CMS experiment. Its flexibility allowed its integration in several environments: Online, for real-time detector monitoring; Offline, for the final, fine-grained Data Certification; ReleaseValidation, to constantly validate the functionality and the performance of the reconstruction software; in Monte Carlo productions...
متن کاملGeometric Constraint Modeling, Data Quality and Software Integration
Geometric constraints are used for a variety of applications, like the representation of consistency conditions or the determination of geometric aspects. For many cases geometric constraints form a system of non-linear equations. For geometric constraint solving there are iterative and symbolic methods. Iterative approaches are easier to be implemented and often successful, while symbolic appr...
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ژورنال
عنوان ژورنال: Agricultural Economics (Zemědělská ekonomika)
سال: 2012
ISSN: 0139-570X,1805-9295
DOI: 10.17221/5007-agricecon