Implementing The Stakeholder Based Goal Question Metric Gqm Measurement Model For Software Projects
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Implementing the Stakeholder Based Goal-Question-Metric (Gqm) Measurement Model for Software Projects
Author: Dr. Prashanth Harish Southekal
language: en
Publisher: Trafford Publishing
Release Date: 2014-06-25
Software projects today are often characterized by poor quality, schedule overruns and high costs. One of the approaches to address the poor success rate is to track the project progress with a stakeholder driven measurement model that is objective and validated theoretically and empirically. In this backdrop, based on the Goal-Question-Metric (GQM) model this book proposes a generic and objective measurement model for a software project with eight key measures based on the value propositions of the stakeholders. The measurement model is validated (i) theoretically with measurement theory criteria and (ii) empirically with case studies and a global survey representing IT industry practitioners.
Data Quality
Author: Prashanth Southekal
language: en
Publisher: John Wiley & Sons
Release Date: 2023-02-01
Discover how to achieve business goals by relying on high-quality, robust data In Data Quality: Empowering Businesses with Analytics and AI, veteran data and analytics professional delivers a practical and hands-on discussion on how to accelerate business results using high-quality data. In the book, you’ll learn techniques to define and assess data quality, discover how to ensure that your firm’s data collection practices avoid common pitfalls and deficiencies, improve the level of data quality in the business, and guarantee that the resulting data is useful for powering high-level analytics and AI applications. The author shows you how to: Profile for data quality, including the appropriate techniques, criteria, and KPIs Identify the root causes of data quality issues in the business apart from discussing the 16 common root causes that degrade data quality in the organization. Formulate the reference architecture for data quality, including practical design patterns for remediating data quality Implement the 10 best data quality practices and the required capabilities for improving operations, compliance, and decision-making capabilities in the business An essential resource for data scientists, data analysts, business intelligence professionals, chief technology and data officers, and anyone else with a stake in collecting and using high-quality data, Data Quality: Empowering Businesses with Analytics and AI will also earn a place on the bookshelves of business leaders interested in learning more about what sets robust data apart from the rest.
A Measurement Framework for Software Projects
Author: Prashanth Harish Southekal
language: en
Publisher: Trafford Publishing
Release Date: 2011-11-23
Software projects today are often characterized by poor quality, schedule overruns and high costs. Hence project decision makers need an objective and validated measurement framework to allocate limited resources and to track project progress. In this backdrop, based on the Goal-Question-Metric (GQM) model, Prashanth Harish Southekal has come up with eight generic objective measures for the project stakeholders to base their corrective actions for successful project delivery . The measurement framework is validated (i) theoretically with measurement theory criteria and (ii) empirically with case studies (Controlled and Uncontrolled) including a global survey representing industry practitioners from 29 countries.