IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Agile Team Measurement to Review the Performance in Global Software Development

Agile Team Measurement to Review the Performance in Global Software Development
View Sample PDF
Author(s): Chamundeswari Arumugam (SSN College of Engineering, India) and Srinivasan Vaidyanathan (Cognizant Technology Solutions, India)
Copyright: 2020
Pages: 13
Source title: Crowdsourcing and Probabilistic Decision-Making in Software Engineering: Emerging Research and Opportunities
Source Author(s)/Editor(s): Varun Gupta (University of Beira Interior, Covilha, Portugal)
DOI: 10.4018/978-1-5225-9659-2.ch005

Purchase

View Agile Team Measurement to Review the Performance in Global Software Development on the publisher's website for pricing and purchasing information.

Abstract

This chapter is aimed at studying the key performance indicators of team members working in an agile project environment and in an extreme programming software development. Practitioners from six different XP projects were selected to respond to the survey measuring the performance indicators, namely, escaped defects, team member's velocity, deliverables, and extra efforts. The chapter presents a comparative view of Scrum and XP, the two renowned agile methods with their processes, methodologies, development cycles, and artifacts, while assessing the base performance indicators in XP setup. These indicators are key to any agile project in a global software development environment. The observed performance indicators were compared against the gold standard industry benchmarks along with best, average, and worst-case scenarios. Practitioners from six agile XP projects were asked to participate in the survey. Observed results best serve the practitioners to take necessary course corrections to stay in the best-case scenarios of their respective projects.

Related Content

Markov Decision Theory-Based Crowdsourcing Software Process Model
Kamalendu Pal. © 2020. 22 pages.
View Details View Details PDF Full Text View Sample PDF
I-Way: A Cloud-Based Recommendation System for Software Requirement Reusability
Chetna Gupta, Surbhi Singhal, Astha Kumari. © 2020. 12 pages.
View Details View Details PDF Full Text View Sample PDF
Requirement-Based Test Approach and Traceability for High-Integrity Airborne Embedded Systems
Sudha Srinivasan, D. S. Chauhan. © 2020. 16 pages.
View Details View Details PDF Full Text View Sample PDF
A Systematic Literature Review on Risk Assessment and Mitigation Approaches in Requirement Engineering
Priyanka Chandani, Chetna Gupta. © 2020. 30 pages.
View Details View Details PDF Full Text View Sample PDF
Agile Team Measurement to Review the Performance in Global Software Development
Chamundeswari Arumugam, Srinivasan Vaidyanathan. © 2020. 13 pages.
View Details View Details PDF Full Text View Sample PDF
Improving Construction Management Through Advanced Computing and Decision Making
Varun Gupta, Aditya Raj Gupta, Utkarsh Agrawal, Ambika Kumar, Rahul Verma. © 2020. 15 pages.
View Details View Details PDF Full Text View Sample PDF
An Investigation on Quality Perspective of Software Functional Artifacts
Vimaladevi M., Zayaraz G.. © 2020. 25 pages.
View Details View Details PDF Full Text View Sample PDF
Body Bottom