Defining Metrics for Evaluating Transparency in Software Engineering Process

Transparency has become an important non-functional quality requirement of software products and processes. In software engineering, stakeholders, especially software developers and requirements engineers, do not fully know how to benefit from transparency because of the lack of suitable measures and metrics that can be utilised in transparency evaluation and its improvement. Few existing metrics are also poorly defined and, therefore, poorly understood. This paper proposes measures and metrics for evaluating and improving transparency. By integrating the “define-your-own-model,” the Goal Question Metric and the model-driven engineering paradigms, we provide a comprehensive set of transparency quality measures and metrics that can be used in a transparency improvement programme.

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Publication Details

Published
2024-08-16
DOI
https://doi.org/10.1109/icste63875.2024.00009
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.53
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Defining Metrics for Evaluating Transparency in Software Engineering Process

Francis Lugayizi, Bassey Isong, Paulinus Ofem
1 citations
Big Data and Business Intelligence
0.53
article

Defining Metrics for Evaluating Transparency in Software Engineering Process

Francis Lugayizi, Bassey Isong, Paulinus Ofem
article en
1 citations

Abstract

Transparency has become an important non-functional quality requirement of software products and processes. In software engineering, stakeholders, especially software developers and requirements engineers, do not fully know how to benefit from transparency because of the lack of suitable measures and metrics that can be utilised in transparency evaluation and its improvement. Few existing metrics are also poorly defined and, therefore, poorly understood. This paper proposes measures and metrics for evaluating and improving transparency. By integrating the “define-your-own-model,” the Goal Question Metric and the model-driven engineering paradigms, we provide a comprehensive set of transparency quality measures and metrics that can be used in a transparency improvement programme.

North-West University (ZA)
Openalex Percentile: Top 22%
Big Data and Business Intelligence
0.53
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