Iso Iec 25024 25.pdf !!TOP!!
How to Use Iso Iec 25024 25.pdf to Improve Your Software Quality
If you are a software developer, maintainer, tester, or evaluator, you know how important it is to ensure the quality of your software products and services. But how do you measure the quality of your software data? How do you know if your data meets the quality requirements and expectations of your stakeholders? How do you evaluate the data quality of your software systems and processes?
Iso Iec 25024 25.pdf
That's where Iso Iec 25024 25.pdf comes in handy. Iso Iec 25024 25.pdf is an international standard that defines data quality measures for quantitatively measuring the data quality in terms of characteristics defined in Iso Iec 25012. Iso Iec 25024 25.pdf contains the following:
a basic set of data quality measures for each characteristic;
a basic set of target entities to which the quality measures are applied during the data-life-cycle;
an explanation of how to apply data quality measures;
a guidance for organizations defining their own measures for data quality requirements and evaluation.
In this article, we will explain what Iso Iec 25024 25.pdf is, how it works, and how you can use it to improve your software quality.
What is Iso Iec 25024 25.pdf?
Iso Iec 25024 25.pdf is a part of the Iso Iec 25000 series, also known as SQuaRE (Systems and software Quality Requirements and Evaluation). SQuaRE is a framework for specifying, measuring, evaluating, and improving the quality of software products and services. SQuaRE consists of five divisions:
Quality Management Division: provides guidance on how to manage quality activities throughout the software life cycle;
Quality Model Division: defines quality characteristics and subcharacteristics for software products and services;
Quality Measurement Division: defines quality measures and measurement methods for software products and services;
Quality Requirements Division: provides guidance on how to specify quality requirements for software products and services;
Quality Evaluation Division: provides guidance on how to evaluate the quality of software products and services.
Iso Iec 25024 25.pdf belongs to the Quality Measurement Division, which also includes Iso Iec 25020 (Measurement reference model and guide), Iso Iec 25021 (Quality measure elements), Iso Iec 25022 (Measurement of system and software product quality), Iso Iec 25023 (Measurement of system and software service quality), and Iso Iec 25010 (System and software product quality).
Iso Iec 25024 25.pdf focuses on the measurement of data quality, which is defined as "the degree to which a set of characteristics fulfills requirements". Data quality is a subset of software product quality, which also includes functional suitability, performance efficiency, compatibility, usability, reliability, security, maintainability, and portability. Data quality is composed of six characteristics:
Accuracy: the degree to which data has attributes that correctly represent the true value of the intended attribute of a concept or event in a specific context;
Completeness: the degree to which data has attributes that are not missing and that meet specified requirements;
Consistency: the degree to which data has attributes that are free from contradiction and are coherent with other data in a specific context;
Credibility: the degree to which data has attributes that are regarded as true and believable by users in a specific context;
Currentness: the degree to which data has attributes that are of the right age in a specific context;
Accessibility: the degree to which data can be accessed by authorized users when required.
How does Iso Iec 25024 25.pdf work?
Iso Iec 25024 25.pdf works by providing a set of data quality measures (DQMs) for each data quality characteristic. A DQM is a function that assigns a value to a quality measure element (QME) of a target entity (TE) in a specific context. A QME is an attribute or property of a TE that can be measured. A TE is an entity that is involved in the data-life-cycle, such as data, data element, data set, data model, data schema, data source, data process, data service, or data user. A context is a set of circumstances or conditions that influence the interpretation or evaluation of the quality of a TE. For example, the accuracy of a data element may depend on the context of its use, such as the application domain, the user requirements, or the legal regulations.
Iso Iec 25024 25.pdf provides a basic set of DQMs for each characteristic, but it also allows organizations to define their own DQMs according to their specific needs and contexts. Iso Iec 25024 25.pdf also provides guidance on how to apply DQMs to TEs during the data-life-cycle, which consists of six phases:
Data acquisition: the phase where data are obtained from internal or external sources;
Data storage: the phase where data are stored in a computer system;
Data processing: the phase where data are transformed, integrated, aggregated, or analyzed;
Data distribution: the phase where data are delivered to internal or external users;
Data usage: the phase where data are used for a specific purpose or function;
Data disposal: the phase where data are deleted or archived.
Iso Iec 25024 25.pdf also provides informative annexes that contain tables and lists of DQMs and QMEs for each characteristic and TE, as well as considerations and examples for some specific QMEs.
How can you use Iso Iec 25024 25.pdf to improve your software quality?
You can use Iso Iec 25024 25.pdf to improve your software quality by following these steps:
Identify your TEs and their QMEs: determine which entities are involved in your data-life-cycle and what attributes or properties of them can be measured;
Select your DQMs and their values: choose which DQMs are relevant for your TEs and their QMEs, and define their values according to your quality requirements and evaluation criteria;
Measure your TEs: apply your DQMs to your TEs and obtain their values using appropriate measurement methods and tools;
Analyze your measurement results: compare your measurement values with your quality requirements and evaluation criteria, and identify any gaps or issues;
Improve your TEs: implement any actions or changes that are needed to improve the quality of your TEs based on your measurement results.
By using Iso Iec 25024 25.pdf, you can benefit from several advantages, such as:
Having a common language and framework for communicating and evaluating data quality;
Having a systematic and consistent approach for measuring and improving data quality;
Having a flexible and adaptable way of defining and applying DQMs according to your specific needs and contexts;
Having a reliable and objective way of assessing and demonstrating the quality of your software products and services.
Data acquisition
Data acquisition is the phase where data are obtained from internal or external sources. Data acquisition involves identifying, selecting, collecting, and validating data that are relevant and useful for the intended purpose or function. Data acquisition can affect the quality of data in terms of accuracy, completeness, consistency, credibility, and currentness. For example, data may be inaccurate if they are collected from unreliable sources, incomplete if they are missing some attributes or values, inconsistent if they are contradictory or incompatible with other data, incredible if they are not verified or authenticated, or outdated if they are not updated or refreshed regularly.
To improve the quality of data acquisition, Iso Iec 25024 25.pdf provides several DQMs that can be applied to different TEs and QMEs. For example, some DQMs for accuracy are:
Accuracy rate: the ratio of the number of accurate data elements to the total number of data elements;
Error rate: the ratio of the number of erroneous data elements to the total number of data elements;
Mean absolute error: the average of the absolute values of the errors between the actual and expected values of data elements;
Mean squared error: the average of the squared values of the errors between the actual and expected values of data elements.
Some DQMs for completeness are:
Completeness rate: the ratio of the number of complete data elements to the total number of data elements;
Incompleteness rate: the ratio of the number of incomplete data elements to the total number of data elements;
Missing value rate: the ratio of the number of missing values to the total number of values;
Null value rate: the ratio of the number of null values to the total number of values.
Some DQMs for consistency are:
Consistency rate: the ratio of the number of consistent data elements to the total number of data elements;
Inconsistency rate: the ratio of the number of inconsistent data elements to the total number of data elements;
Duplicate value rate: the ratio of the number of duplicate values to the total number of values;
Format error rate: the ratio of the number of format errors to the total number of values.
Some DQMs for credibility are:
Credibility rate: the ratio of the number of credible data elements to the total number of data elements;
Incredibility rate: the ratio of the number of incredible data elements to the total number of data elements;
Source reliability rate: the ratio of the number of reliable sources to the total number of sources;
Data verification rate: the ratio of the number of verified data elements to the total number of data elements.
Some DQMs for currentness are:
Currentness rate: the ratio of the number of current data elements to the total number of data elements;
Outdatedness rate: the ratio
Conclusion
In this article, we have explained what Iso Iec 25024 25.pdf is, how it works, and how you can use it to improve your software quality. Iso Iec 25024 25.pdf is an international standard that defines data quality measures for quantitatively measuring the data quality in terms of characteristics defined in Iso Iec 25012. Iso Iec 25024 25.pdf provides a basic set of data quality measures for each characteristic, a basic set of target entities to which the quality measures are applied during the data-life-cycle, an explanation of how to apply data quality measures, and a guidance for organizations defining their own measures for data quality requirements and evaluation. Iso Iec 25024 25.pdf can help you to measure and improve the quality of your software data in terms of accuracy, completeness, consistency, credibility, currentness, and accessibility. By using Iso Iec 25024 25.pdf, you can benefit from a common language and framework for communicating and evaluating data quality, a systematic and consistent approach for measuring and improving data quality, a flexible and adaptable way of defining and applying data quality measures according to your specific needs and contexts, and a reliable and objective way of assessing and demonstrating the quality of your software products and services.
We hope you have found this article useful and informative. If you have any questions or feedback, please feel free to contact us. Thank you for reading! d282676c82
https://gitlab.com/8nueplentane/fdroiddata/-/blob/master/tools/Tejinder-Singh-Hematology-Pdf-17.md
https://www.accureasy.com/group/grupo-home/discussion/04ad57cb-d71a-4c91-a860-02d26e7a91db
https://www.portalmeigaterra.com/group/porta-aberta/discussion/cdb449cb-78c0-4993-b656-6537a2e8b485