Abstract

An important aspect in any business process lifecycle is management of the performance, where performance requirements on business processes are specified as Key Performance Indicators (KPIs) with target values which are to be achieved in a certain analysis period. A KPI is a business metric used to measure and evaluate the individual capability, maturity, complexity, and agility of a business process in the development environment. This study designed four general KPIs for the integration of SOA and scrum to bring further advancement in these approaches for IIoT. The study also identified some common metrics which will give help to software developers and, especially, to those who want to apply SOA and scrum integration. These metrics will play a critical role of bridging the strategy and concepts of improvements with operational activities. The identified KPIs will help to measure the business agility, quality and value, team efficiency, and complexity of scrum- and SOA based projects. Software development organizations can also practice these KPIs to know where to focus their resources to deliver the ultimate business profit. So, software business organizations could better align their business projects and IT investments with the rapid market change and deliveries.

Highlights

  • In the present era of dynamic business environment, flexibility to welcome change and adapting to it efficiently and cost effectively is pertinent to the success of any business organization

  • We can say that metrics are the language of Key Performance Indicators (KPIs), KPIs using it where your business associates understand it. ese KPIs can give the means to measure the agility, complexity, efficiency, and value of the scrum and Service-Oriented Architecture (SOA) team for those who want to use the scrum and SOA combination

  • E first part of this paper generally explains the SOA and scrum as an agile process model, and the secondary source for this study is the existence work of different scholars which is discussed as a literature review in the second part. e identified scrum, SOA metrics, and the integration of these two approaches are discussed in the third and fourth sections. e identified KPIs are presented in the fifth section. e sixth part of this study describes the analysis and discussion, while conclusions, implications, and limitations and future work are presented in sections seven, eight, and nine, respectively

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Summary

Introduction

In the present era of dynamic business environment, flexibility to welcome change and adapting to it efficiently and cost effectively is pertinent to the success of any business organization. Flexibility and change adoption are key attributes of Service-Oriented Architecture (SOA) and agile software development processes [1]. Ese KPIs can give the means to measure the agility, complexity, efficiency, and value of the scrum and SOA team for those who want to use the scrum and SOA combination. We have identified sixteen different metrics for SOA and scrum which are discussed in detail in the coming section of this paper Some of these are most important to keep on track the business value for the cross combination of scrum and SOA. E team velocity, business agility, product quality, and effort review become the Key Performance Indicators (KPIs) for the scrum and SOA development approach (SSDA). E first part of this paper generally explains the SOA and scrum as an agile process model, and the secondary source for this study is the existence work of different scholars which is discussed as a literature review in the second part. e identified scrum, SOA metrics, and the integration of these two approaches are discussed in the third and fourth sections. e identified KPIs are presented in the fifth section. e sixth part of this study describes the analysis and discussion, while conclusions, implications, and limitations and future work are presented in sections seven, eight, and nine, respectively

Literature Review
KPIs for Scrum and SOA Integration
Integration of Scrum and SOA
Key Performance Indicators of Scrum and SOA
Analysis and Discussion
Conclusions
Findings
Implications of the Study
Limitations and Future
Full Text
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