45 research outputs found
Badgers: generating data quality deficits with Python
Generating context specific data quality deficits is necessary to
experimentally assess data quality of data-driven (artificial intelligence (AI)
or machine learning (ML)) applications. In this paper we present badgers, an
extensible open-source Python library to generate data quality deficits
(outliers, imbalanced data, drift, etc.) for different modalities (tabular
data, time-series, text, etc.). The documentation is accessible at
https://fraunhofer-iese.github.io/badgers/ and the source code at
https://github.com/Fraunhofer-IESE/badgersComment: 17 pages, 16 figure
A Deployment Process for Strategic Measurement Systems
Explicitly linking software-related activities to an organisation's
higher-level goals has been shown to be critical for organizational success.
GQM+Strategies provides mechanisms for explicitly linking goals and strategies,
based on goal-oriented strategic measurement systems. Deploying such strategic
measurement systems in an organization is highly challenging. Experience has
shown that a clear deployment strategy is needed for achieving sustainable
success. In particular, an adequate deployment process as well as corresponding
tool support can facilitate the deployment. This paper introduces the
systematical GQM+Strategies deployment process and gives an overview of
GQM+Strategies modelling and associated tool support. Additionally, it provides
an overview of industrial applications and describes success factors and
benefits for the usage of GQM+Strategies.Comment: 12 pages. Proceedings of the 8th Software Measurement European Forum
(SMEF 2011
DETERMINING THE IMPACT OF BUSINESS STRATEGIES USING PRINCIPLES FROM GOAL-ORIENTED MEASUREMENT
In practice, the success or failure of business strategies is often determined by management as a gut feeling without taking into account quantitative information. If data is collected, it is often unclear how the data contributes to higher-level goals of the organization. GQM+Strategies® provides mechanisms for explicitly linking measurement goals to higher-level goals, and also to goals and strategies at the level of the entire business. It is based on experiences with software-related organizations, but is intended to be applicable in all kinds of businesses. This article gives an overview of the basic concepts and presents a practical case