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An Overview of Recent Product, Process, and People Metrics in Software Quality Assurance

Software Quality Assurance (SQA) is a critical aspect of the software development life cycle, ensuring the delivery of high-quality software products. This systematic literature review provides an overview of product, process and people metrics used in SQA, as well as the relationship between different metrics. Product Metrics focus on evaluating the characteristics and attributes of the software product itself. Pro- cess Metrics centre around the software development and testing processes. People Metrics focuses on evaluating the performance, skills, and collaboration of the indi- viduals involved in the software development team.  This study not only synthesizes existing knowledge on SQA measurements, but also elucidates the complicated interactions between these many metrics, offering a comprehensive understanding of their interaction. Furthermore, it methodically finds and addresses discrepancies in the identification and description of various in- dicators, helping to standardize SQA methods.  The paper also covers a range of technologies used for the quantification of the defined metrics with the goal of measurement accuracy and efficiency. The exami- nation of these tools not only aids in the practical comprehension of metric measure- ment but also the selection of appropriate instruments for certain SQA scenarios.  As software systems grow in complexity and size, the findings of this study are a significant resource for practitioners, researchers, and stakeholders alike, providing a nuanced viewpoint on improving software quality through strong SQA techniques.  Keywords: Product metrics, Process metrics, people metrics, Software quality as- surance, Development cycle Software Quality Assurance (SQA) Metrics Evaluation Product Metrics Process Metrics People Metrics Software Development Life Cycle (SDLC).

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-129032
Date January 2024
CreatorsAppiah, Donald
PublisherLinnéuniversitetet, Institutionen för datavetenskap (DV)
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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